A data description model for reusing, sharing and integrating geo-analysis models
Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yue, Songshan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2015 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental earth sciences - Berlin : Springer, 2009, 74(2015), 10 vom: 15. März, Seite 7081-7099 |
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| Übergeordnetes Werk: |
volume:74 ; year:2015 ; number:10 ; day:15 ; month:03 ; pages:7081-7099 |
| Links: |
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| DOI / URN: |
10.1007/s12665-015-4270-5 |
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| Katalog-ID: |
SPR026709139 |
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| 520 | |a Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. | ||
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| 700 | 1 | |a Wen, Yongning |4 aut | |
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| 700 | 1 | |a Lu, Guonian |4 aut | |
| 700 | 1 | |a Hu, Di |4 aut | |
| 700 | 1 | |a Zhang, Fu |4 aut | |
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10.1007/s12665-015-4270-5 doi (DE-627)SPR026709139 (SPR)s12665-015-4270-5-e DE-627 ger DE-627 rakwb eng Yue, Songshan verfasserin aut A data description model for reusing, sharing and integrating geo-analysis models 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. Geo-analysis models (dpeaa)DE-He213 VGE (dpeaa)DE-He213 Model integration (dpeaa)DE-He213 Data preparation (dpeaa)DE-He213 Data pre-processing (dpeaa)DE-He213 Wen, Yongning aut Chen, Min aut Lu, Guonian aut Hu, Di aut Zhang, Fu aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 74(2015), 10 vom: 15. März, Seite 7081-7099 (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:74 year:2015 number:10 day:15 month:03 pages:7081-7099 https://dx.doi.org/10.1007/s12665-015-4270-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 74 2015 10 15 03 7081-7099 |
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10.1007/s12665-015-4270-5 doi (DE-627)SPR026709139 (SPR)s12665-015-4270-5-e DE-627 ger DE-627 rakwb eng Yue, Songshan verfasserin aut A data description model for reusing, sharing and integrating geo-analysis models 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. Geo-analysis models (dpeaa)DE-He213 VGE (dpeaa)DE-He213 Model integration (dpeaa)DE-He213 Data preparation (dpeaa)DE-He213 Data pre-processing (dpeaa)DE-He213 Wen, Yongning aut Chen, Min aut Lu, Guonian aut Hu, Di aut Zhang, Fu aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 74(2015), 10 vom: 15. März, Seite 7081-7099 (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:74 year:2015 number:10 day:15 month:03 pages:7081-7099 https://dx.doi.org/10.1007/s12665-015-4270-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 74 2015 10 15 03 7081-7099 |
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10.1007/s12665-015-4270-5 doi (DE-627)SPR026709139 (SPR)s12665-015-4270-5-e DE-627 ger DE-627 rakwb eng Yue, Songshan verfasserin aut A data description model for reusing, sharing and integrating geo-analysis models 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. Geo-analysis models (dpeaa)DE-He213 VGE (dpeaa)DE-He213 Model integration (dpeaa)DE-He213 Data preparation (dpeaa)DE-He213 Data pre-processing (dpeaa)DE-He213 Wen, Yongning aut Chen, Min aut Lu, Guonian aut Hu, Di aut Zhang, Fu aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 74(2015), 10 vom: 15. März, Seite 7081-7099 (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:74 year:2015 number:10 day:15 month:03 pages:7081-7099 https://dx.doi.org/10.1007/s12665-015-4270-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 74 2015 10 15 03 7081-7099 |
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10.1007/s12665-015-4270-5 doi (DE-627)SPR026709139 (SPR)s12665-015-4270-5-e DE-627 ger DE-627 rakwb eng Yue, Songshan verfasserin aut A data description model for reusing, sharing and integrating geo-analysis models 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. Geo-analysis models (dpeaa)DE-He213 VGE (dpeaa)DE-He213 Model integration (dpeaa)DE-He213 Data preparation (dpeaa)DE-He213 Data pre-processing (dpeaa)DE-He213 Wen, Yongning aut Chen, Min aut Lu, Guonian aut Hu, Di aut Zhang, Fu aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 74(2015), 10 vom: 15. März, Seite 7081-7099 (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:74 year:2015 number:10 day:15 month:03 pages:7081-7099 https://dx.doi.org/10.1007/s12665-015-4270-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 74 2015 10 15 03 7081-7099 |
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10.1007/s12665-015-4270-5 doi (DE-627)SPR026709139 (SPR)s12665-015-4270-5-e DE-627 ger DE-627 rakwb eng Yue, Songshan verfasserin aut A data description model for reusing, sharing and integrating geo-analysis models 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag Berlin Heidelberg 2015 Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. Geo-analysis models (dpeaa)DE-He213 VGE (dpeaa)DE-He213 Model integration (dpeaa)DE-He213 Data preparation (dpeaa)DE-He213 Data pre-processing (dpeaa)DE-He213 Wen, Yongning aut Chen, Min aut Lu, Guonian aut Hu, Di aut Zhang, Fu aut Enthalten in Environmental earth sciences Berlin : Springer, 2009 74(2015), 10 vom: 15. März, Seite 7081-7099 (DE-627)599673451 (DE-600)2493699-6 1866-6299 nnns volume:74 year:2015 number:10 day:15 month:03 pages:7081-7099 https://dx.doi.org/10.1007/s12665-015-4270-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 74 2015 10 15 03 7081-7099 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR026709139</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230401015958.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12665-015-4270-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR026709139</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12665-015-4270-5-e</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="100" ind1="1" ind2=" "><subfield code="a">Yue, Songshan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A data description model for reusing, sharing and integrating geo-analysis models</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</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="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag Berlin Heidelberg 2015</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Geo-analysis models</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">VGE</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Model integration</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data preparation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data pre-processing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wen, Yongning</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Min</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lu, Guonian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Di</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Fu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental earth sciences</subfield><subfield code="d">Berlin : Springer, 2009</subfield><subfield code="g">74(2015), 10 vom: 15. 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Yue, Songshan |
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Yue, Songshan misc Geo-analysis models misc VGE misc Model integration misc Data preparation misc Data pre-processing A data description model for reusing, sharing and integrating geo-analysis models |
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A data description model for reusing, sharing and integrating geo-analysis models Geo-analysis models (dpeaa)DE-He213 VGE (dpeaa)DE-He213 Model integration (dpeaa)DE-He213 Data preparation (dpeaa)DE-He213 Data pre-processing (dpeaa)DE-He213 |
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data description model for reusing, sharing and integrating geo-analysis models |
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A data description model for reusing, sharing and integrating geo-analysis models |
| abstract |
Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. © Springer-Verlag Berlin Heidelberg 2015 |
| abstractGer |
Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. © Springer-Verlag Berlin Heidelberg 2015 |
| abstract_unstemmed |
Abstract Geo-analysis models are necessary tools for understanding various geo-processes and phenomena in Earth’s environment. Studying, reusing, sharing and integrating geo-analysis models can help researchers solve complicated and synthetic geo-problems with interdisciplinary knowledge, especially for researchers who collaborate with each other to build virtual geographic environments (VGEs). While the integration frameworks of geo-analysis models could permit their practical use, it is essential for model users to prepare data according to the specific requirements of the different geo-analysis models. Model users should invest adequate effort and time into preparing such model data, particularly when employing multi-disciplinary geo-analysis models. This paper proposed a data description model, the Universal Data eXchange (UDX) model that can reduce the effort and difficulties of model data preparation and pre-processing for model users. With the UDX model, researchers from interdiscipline can build a collaborative workspace in VGEs more conveniently. A hierarchical structure was employed in the UDX model for the flexible description of heterogeneous model data, and a set of basic data node types was designed to provide a relatively stable organization method for the various data contents. In the UDX model, the structural format data (e.g., the Shapefile and NetCDF data) and the flexible plain text data content can be described in a uniform way. In addition, model data information can be completely and unambiguously described with the items in the attachment libraries (e.g., unit and dimension library, semantic library, spatial reference library, and data description template library). Furthermore, two different model integration case studies were conducted to prove that various data processing methods and efforts can be accumulated and organized with the designed UDX data processing library. © Springer-Verlag Berlin Heidelberg 2015 |
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| title_short |
A data description model for reusing, sharing and integrating geo-analysis models |
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https://dx.doi.org/10.1007/s12665-015-4270-5 |
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| author2 |
Wen, Yongning Chen, Min Lu, Guonian Hu, Di Zhang, Fu |
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Wen, Yongning Chen, Min Lu, Guonian Hu, Di Zhang, Fu |
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10.1007/s12665-015-4270-5 |
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2024-07-03T22:18:02.752Z |
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| score |
7.4013796 |