Tracking Environmental Change Using Lake Sediments : Data Handling and Numerical Techniques
John P. Smol
Autor*in: |
Birks, H. John B. [verfasserIn] |
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Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
Dordrecht: Springer Netherlands ; 2012 |
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Schlagwörter: |
Paläolimnologie / Stratigraphie / Datenauswertung / Datenanalyse / Numerisches Verfahren |
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Schlagwörter: | |
Formangabe: |
Aufsatzsammlung |
Anmerkung: |
Description based upon print version of record |
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Umfang: |
Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital) |
Weitere Ausgabe: |
Buchausg. u.d.T.: Tracking Environmental change using lake sediments ; 5: Data handling and numerical techniques - Dordrecht [u.a.]Springer, 2012 |
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Reihe: |
Developments in Paleoenvironmental Research ; 5 SpringerLink ; Bücher |
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Links: | |
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ISBN: |
978-94-007-2745-8 |
DOI / URN: |
10.1007/978-94-007-2745-8 |
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Katalog-ID: |
1651473137 |
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245 | 1 | 0 | |a Tracking Environmental Change Using Lake Sediments |b Data Handling and Numerical Techniques |c edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol |
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505 | 8 | 0 | |a Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data |
505 | 8 | 0 | |a The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage |
505 | 8 | 0 | |a Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation |
505 | 8 | 0 | |a Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques |
505 | 8 | 0 | |a Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) |
505 | 8 | 0 | |a Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts |
520 | |a John P. Smol | ||
520 | |a Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. | ||
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Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts |
spellingShingle |
Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts Birks, H. John B. misc GE45.M38 misc GE45.M37 misc Environmental sciences misc Climatic changes misc Ecology misc Marine Sciences misc Environment gnd Paläolimnologie gnd Stratigraphie gnd Datenauswertung gnd Datenanalyse gnd Numerisches Verfahren 2027 ebook Tracking Environmental Change Using Lake Sediments Data Handling and Numerical Techniques |
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Tracking Environmental Change Using Lake Sediments Data Handling and Numerical Techniques |
abstract |
John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. Description based upon print version of record |
abstractGer |
John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. Description based upon print version of record |
abstract_unstemmed |
John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. Description based upon print version of record |
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Lotter, André F. Juggins, Steve Smol, John P. |
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9789400727458 978-94-007-2745-8 10.1007/978-94-007-2745-8 doi (DE-627)1651473137 (DE-576)365270261 (DE-599)BSZ365270261 (OCoLC)799085986 (DE-He213)978-94-007-2745-8 DE-627 ger DE-627 rakwb eng XA-NL GE45.M38 GE45.M37 GE45.M37 GE45.M38 RN bicssc PBW bicssc SCI026000 bisacsh MAT003000 bisacsh Birks, H. John B. verfasserin aut Tracking Environmental Change Using Lake Sediments Data Handling and Numerical Techniques edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol Dordrecht Springer Netherlands 2012 Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Developments in Paleoenvironmental Research 5 SpringerLink Bücher Description based upon print version of record Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. 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9789400727458 978-94-007-2745-8 10.1007/978-94-007-2745-8 doi (DE-627)1651473137 (DE-576)365270261 (DE-599)BSZ365270261 (OCoLC)799085986 (DE-He213)978-94-007-2745-8 DE-627 ger DE-627 rakwb eng XA-NL GE45.M38 GE45.M37 GE45.M37 GE45.M38 RN bicssc PBW bicssc SCI026000 bisacsh MAT003000 bisacsh Birks, H. John B. verfasserin aut Tracking Environmental Change Using Lake Sediments Data Handling and Numerical Techniques edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol Dordrecht Springer Netherlands 2012 Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Developments in Paleoenvironmental Research 5 SpringerLink Bücher Description based upon print version of record Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. Environmental sciences Climatic changes Ecology Marine Sciences Environment Environmental sciences Climatic changes Ecology Marine Sciences Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4173114-1 (DE-627)105382361 (DE-576)209947950 Paläolimnologie gnd s (DE-588)4057956-6 (DE-627)104459107 (DE-576)209124229 Stratigraphie gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4128130-5 (DE-627)104653515 (DE-576)209599480 Numerisches Verfahren gnd (DE-627) Lotter, André F. oth Juggins, Steve oth Smol, John P. (DE-627)1234375680 (DE-576)164375686 oth 9789400727441 Buchausg. u.d.T. Tracking Environmental change using lake sediments ; 5: Data handling and numerical techniques Dordrecht [u.a.]Springer, 2012 XV, 745 S. (DE-627)1427070296 (DE-576)357070291 9789400727441 https://doi.org/10.1007/978-94-007-2745-8 Verlag Volltext http://dx.doi.org/10.1007/978-94-007-2745-8 Verlag Volltext https://swbplus.bsz-bw.de/bsz365270261cov.jpg V:DE-576 X:springer image/jpeg 20130327111605 Cover https://swbplus.bsz-bw.de/bsz357070291inh.htm V:DE-576;B:DE-105 application/pdf 20121105102611 Inhaltsverzeichnis (DE-627)715948482 ZDB-2-EES 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_22_i05715 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef BO 045F 333.7 045F 551.482 22 01 0018 1337556378 00 --%%-- --%%-- s --%%-- h57-ees Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. zi05715 04-11-12 40 01 0007 1340085208 OLR-SPRINGER-EES nl xsn 21-11-12 60 01 0705 4304956221 SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 07-04-23 62 01 0028 1337713473 OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 04-11-12 65 01 0003 1655667912 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 430502747X 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1371378894 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 15-03-13 120 02 0715 1754304583 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3581510596 00 --%%-- --%%-- g --%%-- alma ww z 24-01-20 285 01 0517 1449601480 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 09-12-13 370 01 4370 1337493295 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. 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Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-94-007-2745-8 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-94-007-2745-8 2061 01 DE-520 http://dx.doi.org/10.1007/978-94-007-2745-8 2148 01 DE-950 http://dx.doi.org/10.1007/978-94-007-2745-8 2027 01 DE-105 00 s ebook 40 00 DE-7 00 (DE-627)625047583 VAU 000 Paläolimnologie {Geologie} 40 00 DE-7 01 (DE-627)625048067 VBS 100 Methodik, Untersuchungsverfahren und Instrumente {Umweltgeologie} 120 00 DE-715 99 ww 285 00 DE-517 00 TQ 01040 285 00 DE-517 00 TQ 1040 285 00 DE-517 00 TK 01005 285 00 DE-517 00 TK 1005 285 00 DE-517 00 RB 10360 120 01 0715 24290933 120 01 0715 YH 2020 22 01 0018 h57-ees 40 01 0007 OLR-SPRINGER-EES 60 01 0705 SpringerLink 62 01 0028 OLR-SEB 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer |
allfields_unstemmed |
9789400727458 978-94-007-2745-8 10.1007/978-94-007-2745-8 doi (DE-627)1651473137 (DE-576)365270261 (DE-599)BSZ365270261 (OCoLC)799085986 (DE-He213)978-94-007-2745-8 DE-627 ger DE-627 rakwb eng XA-NL GE45.M38 GE45.M37 GE45.M37 GE45.M38 RN bicssc PBW bicssc SCI026000 bisacsh MAT003000 bisacsh Birks, H. John B. verfasserin aut Tracking Environmental Change Using Lake Sediments Data Handling and Numerical Techniques edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol Dordrecht Springer Netherlands 2012 Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Developments in Paleoenvironmental Research 5 SpringerLink Bücher Description based upon print version of record Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. Environmental sciences Climatic changes Ecology Marine Sciences Environment Environmental sciences Climatic changes Ecology Marine Sciences Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4173114-1 (DE-627)105382361 (DE-576)209947950 Paläolimnologie gnd s (DE-588)4057956-6 (DE-627)104459107 (DE-576)209124229 Stratigraphie gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4128130-5 (DE-627)104653515 (DE-576)209599480 Numerisches Verfahren gnd (DE-627) Lotter, André F. oth Juggins, Steve oth Smol, John P. (DE-627)1234375680 (DE-576)164375686 oth 9789400727441 Buchausg. u.d.T. Tracking Environmental change using lake sediments ; 5: Data handling and numerical techniques Dordrecht [u.a.]Springer, 2012 XV, 745 S. (DE-627)1427070296 (DE-576)357070291 9789400727441 https://doi.org/10.1007/978-94-007-2745-8 Verlag Volltext http://dx.doi.org/10.1007/978-94-007-2745-8 Verlag Volltext https://swbplus.bsz-bw.de/bsz365270261cov.jpg V:DE-576 X:springer image/jpeg 20130327111605 Cover https://swbplus.bsz-bw.de/bsz357070291inh.htm V:DE-576;B:DE-105 application/pdf 20121105102611 Inhaltsverzeichnis (DE-627)715948482 ZDB-2-EES 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_22_i05715 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef BO 045F 333.7 045F 551.482 22 01 0018 1337556378 00 --%%-- --%%-- s --%%-- h57-ees Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. zi05715 04-11-12 40 01 0007 1340085208 OLR-SPRINGER-EES nl xsn 21-11-12 60 01 0705 4304956221 SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 07-04-23 62 01 0028 1337713473 OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 04-11-12 65 01 0003 1655667912 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 430502747X 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1371378894 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 15-03-13 120 02 0715 1754304583 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3581510596 00 --%%-- --%%-- g --%%-- alma ww z 24-01-20 285 01 0517 1449601480 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 09-12-13 370 01 4370 1337493295 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 04-11-12 2027 01 DE-105 3349360661 00 --%%-- --%%-- n --%%-- Campuslizenz l01 06-04-12 2050 01 DE-Zi4 3349360688 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 06-04-12 2061 01 DE-520 3349360726 00 --%%-- --%%-- n --%%-- eBook, Link nur im Campusbereich nutzbar l01 06-04-12 2148 01 DE-950 3349360742 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 15-05-12 22 01 0018 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2745-8 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/SpringerEbooks/doi.org/10.1007/978-94-007-2745-8 40 01 0007 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/frontdoor.php?titel_id=10159&bibid=SUBGO 40 01 0007 Volltext, Campuszugriff http://dx.doi.org/10.1007/978-94-007-2745-8 40 01 0007 Volltext, Externer Zugriff http://han.sub.uni-goettingen.de/han/Springer-eBook-EarthEnvironmentalScience/dx.doi.org/10.1007/978-94-007-2745-8 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2745-8 62 01 0028 https://doi.org/10.1007/978-94-007-2745-8 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2745-8 110 01 3110 https://doi.org/10.1007/978-94-007-2745-8 120 01 0715 http://dx.doi.org/10.1007/978-94-007-2745-8 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016137177903501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016137177903501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-94-007-2745-8 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-94-007-2745-8 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-94-007-2745-8 2061 01 DE-520 http://dx.doi.org/10.1007/978-94-007-2745-8 2148 01 DE-950 http://dx.doi.org/10.1007/978-94-007-2745-8 2027 01 DE-105 00 s ebook 40 00 DE-7 00 (DE-627)625047583 VAU 000 Paläolimnologie {Geologie} 40 00 DE-7 01 (DE-627)625048067 VBS 100 Methodik, Untersuchungsverfahren und Instrumente {Umweltgeologie} 120 00 DE-715 99 ww 285 00 DE-517 00 TQ 01040 285 00 DE-517 00 TQ 1040 285 00 DE-517 00 TK 01005 285 00 DE-517 00 TK 1005 285 00 DE-517 00 RB 10360 120 01 0715 24290933 120 01 0715 YH 2020 22 01 0018 h57-ees 40 01 0007 OLR-SPRINGER-EES 60 01 0705 SpringerLink 62 01 0028 OLR-SEB 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer |
allfieldsGer |
9789400727458 978-94-007-2745-8 10.1007/978-94-007-2745-8 doi (DE-627)1651473137 (DE-576)365270261 (DE-599)BSZ365270261 (OCoLC)799085986 (DE-He213)978-94-007-2745-8 DE-627 ger DE-627 rakwb eng XA-NL GE45.M38 GE45.M37 GE45.M37 GE45.M38 RN bicssc PBW bicssc SCI026000 bisacsh MAT003000 bisacsh Birks, H. John B. verfasserin aut Tracking Environmental Change Using Lake Sediments Data Handling and Numerical Techniques edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol Dordrecht Springer Netherlands 2012 Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Developments in Paleoenvironmental Research 5 SpringerLink Bücher Description based upon print version of record Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. Environmental sciences Climatic changes Ecology Marine Sciences Environment Environmental sciences Climatic changes Ecology Marine Sciences Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4173114-1 (DE-627)105382361 (DE-576)209947950 Paläolimnologie gnd s (DE-588)4057956-6 (DE-627)104459107 (DE-576)209124229 Stratigraphie gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4128130-5 (DE-627)104653515 (DE-576)209599480 Numerisches Verfahren gnd (DE-627) Lotter, André F. oth Juggins, Steve oth Smol, John P. (DE-627)1234375680 (DE-576)164375686 oth 9789400727441 Buchausg. u.d.T. Tracking Environmental change using lake sediments ; 5: Data handling and numerical techniques Dordrecht [u.a.]Springer, 2012 XV, 745 S. (DE-627)1427070296 (DE-576)357070291 9789400727441 https://doi.org/10.1007/978-94-007-2745-8 Verlag Volltext http://dx.doi.org/10.1007/978-94-007-2745-8 Verlag Volltext https://swbplus.bsz-bw.de/bsz365270261cov.jpg V:DE-576 X:springer image/jpeg 20130327111605 Cover https://swbplus.bsz-bw.de/bsz357070291inh.htm V:DE-576;B:DE-105 application/pdf 20121105102611 Inhaltsverzeichnis (DE-627)715948482 ZDB-2-EES 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP SSG-OPC-GGO GBV_ILN_22_i05715 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_65 ISIL_DE-3 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2061 ISIL_DE-520 GBV_ILN_2148 ISIL_DE-950 GBV ExPruef BO 045F 333.7 045F 551.482 22 01 0018 1337556378 00 --%%-- --%%-- s --%%-- h57-ees Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. zi05715 04-11-12 40 01 0007 1340085208 OLR-SPRINGER-EES nl xsn 21-11-12 60 01 0705 4304956221 SpringerLink Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 07-04-23 62 01 0028 1337713473 OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 04-11-12 65 01 0003 1655667912 03 --%%-- ebook --%%-- --%%-- OLR-SEB-ZDB-2-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. k3o 02-01-17 110 01 3110 430502747X 00 --%%-- --%%-- s --%%-- OLR-SEB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-04-23 120 01 0715 1371378894 OLR-ESP Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. z 15-03-13 120 02 0715 1754304583 00 --%%-- --%%-- g --%%-- alma ww z 22-02-18 120 03 0715 3581510596 00 --%%-- --%%-- g --%%-- alma ww z 24-01-20 285 01 0517 1449601480 00 --%%-- --%%-- s --%%-- OLR-ESP-EES Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 09-12-13 370 01 4370 1337493295 olr-springer Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 04-11-12 2027 01 DE-105 3349360661 00 --%%-- --%%-- n --%%-- Campuslizenz l01 06-04-12 2050 01 DE-Zi4 3349360688 00 --%%-- --%%-- n --%%-- Elektronischer Volltext - Campuslizenz l01 06-04-12 2061 01 DE-520 3349360726 00 --%%-- --%%-- n --%%-- eBook, Link nur im Campusbereich nutzbar l01 06-04-12 2148 01 DE-950 3349360742 00 --%%-- eBook Springer --%%-- n Elektronischer Volltext - Campuslizenz l01 15-05-12 22 01 0018 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2745-8 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/SpringerEbooks/doi.org/10.1007/978-94-007-2745-8 40 01 0007 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/frontdoor.php?titel_id=10159&bibid=SUBGO 40 01 0007 Volltext, Campuszugriff http://dx.doi.org/10.1007/978-94-007-2745-8 40 01 0007 Volltext, Externer Zugriff http://han.sub.uni-goettingen.de/han/Springer-eBook-EarthEnvironmentalScience/dx.doi.org/10.1007/978-94-007-2745-8 60 01 0705 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2745-8 62 01 0028 https://doi.org/10.1007/978-94-007-2745-8 65 01 0003 Volltextzugang Campus https://doi.org/10.1007/978-94-007-2745-8 110 01 3110 https://doi.org/10.1007/978-94-007-2745-8 120 01 0715 http://dx.doi.org/10.1007/978-94-007-2745-8 120 02 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016137177903501 120 03 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991016137177903501 285 01 0517 E-books (Springer) https://doi.org/10.1007/978-94-007-2745-8 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://doi.org/10.1007/978-94-007-2745-8 2050 01 DE-Zi4 http://dx.doi.org/10.1007/978-94-007-2745-8 2061 01 DE-520 http://dx.doi.org/10.1007/978-94-007-2745-8 2148 01 DE-950 http://dx.doi.org/10.1007/978-94-007-2745-8 2027 01 DE-105 00 s ebook 40 00 DE-7 00 (DE-627)625047583 VAU 000 Paläolimnologie {Geologie} 40 00 DE-7 01 (DE-627)625048067 VBS 100 Methodik, Untersuchungsverfahren und Instrumente {Umweltgeologie} 120 00 DE-715 99 ww 285 00 DE-517 00 TQ 01040 285 00 DE-517 00 TQ 1040 285 00 DE-517 00 TK 01005 285 00 DE-517 00 TK 1005 285 00 DE-517 00 RB 10360 120 01 0715 24290933 120 01 0715 YH 2020 22 01 0018 h57-ees 40 01 0007 OLR-SPRINGER-EES 60 01 0705 SpringerLink 62 01 0028 OLR-SEB 62 01 0028 OLR-EES 65 01 0003 OLR-SEB-ZDB-2-EES 110 01 3110 OLR-SEB 120 01 0715 OLR-ESP 120 02 0715 alma 120 03 0715 alma 285 01 0517 OLR-ESP-EES 370 01 4370 olr-springer |
allfieldsSound |
9789400727458 978-94-007-2745-8 10.1007/978-94-007-2745-8 doi (DE-627)1651473137 (DE-576)365270261 (DE-599)BSZ365270261 (OCoLC)799085986 (DE-He213)978-94-007-2745-8 DE-627 ger DE-627 rakwb eng XA-NL GE45.M38 GE45.M37 GE45.M37 GE45.M38 RN bicssc PBW bicssc SCI026000 bisacsh MAT003000 bisacsh Birks, H. John B. verfasserin aut Tracking Environmental Change Using Lake Sediments Data Handling and Numerical Techniques edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol Dordrecht Springer Netherlands 2012 Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Developments in Paleoenvironmental Research 5 SpringerLink Bücher Description based upon print version of record Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx) Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts John P. Smol Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series. Environmental sciences Climatic changes Ecology Marine Sciences Environment Environmental sciences Climatic changes Ecology Marine Sciences Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content s (DE-588)4173114-1 (DE-627)105382361 (DE-576)209947950 Paläolimnologie gnd s (DE-588)4057956-6 (DE-627)104459107 (DE-576)209124229 Stratigraphie gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4128130-5 (DE-627)104653515 (DE-576)209599480 Numerisches Verfahren gnd (DE-627) Lotter, André F. oth Juggins, Steve oth Smol, John P. (DE-627)1234375680 (DE-576)164375686 oth 9789400727441 Buchausg. u.d.T. Tracking Environmental change using lake sediments ; 5: Data handling and numerical techniques Dordrecht [u.a.]Springer, 2012 XV, 745 S. 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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000cam a22002652 4500</leader><controlfield tag="001">1651473137</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230428111349.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120515s2012 ne |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789400727458</subfield><subfield code="9">978-94-007-2745-8</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-94-007-2745-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1651473137</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-576)365270261</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BSZ365270261</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)799085986</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)978-94-007-2745-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="c">XA-NL</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GE45.M38</subfield><subfield code="a">GE45.M37</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GE45.M37</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">GE45.M38</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">RN</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">PBW</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">SCI026000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT003000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Birks, H. John B.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Tracking Environmental Change Using Lake Sediments</subfield><subfield code="b">Data Handling and Numerical Techniques</subfield><subfield code="c">edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Dordrecht</subfield><subfield code="b">Springer Netherlands</subfield><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Developments in Paleoenvironmental Research</subfield><subfield code="v">5</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">SpringerLink</subfield><subfield code="a">Bücher</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx)</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">John P. Smol</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Climatic changes</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Ecology</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Marine Sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Environment</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Climatic changes</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield 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Contents Part I Introduction, Numerical Overview, and Data-Sets … The March Towards the Quantitative Analysis of Palaeolimnological Data … John P. Smol, H. John B. Birks, Andre F. Lotter, and Steve Juggins … Overview of Numerical Methods in Palaeolimnology … H. John B. Birks … Data-Sets … H. John B. Birks and Vivicnnc J. Jones Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnologica] Data … Introduction and Overview of Part II … H. John B. Birks … Exploratory Data Analysis and Data Display … Steve Juggins and Richard J. Telford … Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis … Louis J. Maher, Oliver Hciri, and Andre F. Lotter … Clustering and Partitioning … Pierre Legendre and H, John B. Birks … From Classical to Canonical Ordination … Pierre Legendre and H. John B. Birks xiii xiv Contents … Statistical Learning in Palaeolimnology … Gavin L. Simpson and H. John B. Birks Fart HI Numerical Methods for the Analysis of Stratigraphical Palaeolimnologica) Data … Introduction and Overview of Part III … H. JohnB. Birks … Analysis of Stratigraphical Data … H. JohnB. Birks … Estimation of Age-Depth Relationships … Maarten Blaauw and Einar Heegaard … Core Correlation … Roy Thompson, R. Malcolm Clark, and Geoffrey S. Boulton … Quantitative Environmental Reconstructions from Biological Data … Steve Juggins and H. John B. Birks … Analogue Methods in Palaeolimnology … Gavin L. Simpson … Autocorrelogram and Periodogram Analyses of Palaeolimnological Temporal-Series from Lakes in Central and Western North America to Assess Shifts in Drought Conditions … Pierre Dutilleul, Brian F. Gumming, and Melinda Lonloc-Roy Part IV Case Studies and Future Developments in Quantitative Palaeoltmnology … Introduction and Overview of Part IV … H. JohnB. Birks … Limnological Responses to Environmental Changes at Inter-annual to Decadal Time-Scales … Andre F. Lotter and N. John Anderson … Human Impacts: Applications of Numerical Methods to Evaluate Surface-Water Acidification and Eutrophication … Gavin L. Simpson and Roland I. Hall Contents xv … Tracking Holocene Climatic Change with Aquatic Biota from Lake Sediments: Case Studies of Commonly used Numerical Techniques … Brian F. Cumming, Kathleen R. Laird, Sherylyn C. Fritz, and Dirk Verschuren … Conclusions and Future Challenges … H. JohnB.Birks Glossary … Index … |
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John B.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Tracking Environmental Change Using Lake Sediments</subfield><subfield code="b">Data Handling and Numerical Techniques</subfield><subfield code="c">edited by H. John B. Birks, André F. Lotter, Steve Juggins, John P. Smol</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Dordrecht</subfield><subfield code="b">Springer Netherlands</subfield><subfield code="c">2012</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Developments in Paleoenvironmental Research</subfield><subfield code="v">5</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">SpringerLink</subfield><subfield code="a">Bücher</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx)</subfield></datafield><datafield tag="505" ind1="8" ind2="0"><subfield code="a">Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">John P. Smol</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Numerical and statistical methods have rapidly become part of a palaeolimnologist's tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen's University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen's University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Climatic changes</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Ecology</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Marine Sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Environment</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Environmental sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Climatic changes</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield 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