Determining optimal neighborhood size for ecological studies using leave-one-out cross validation

Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The fi...
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Autor*in:	Kim, Deok Ryun [verfasserIn] Ali, Mohammad Sur, Dipika Khatib, Ahmed Wierzba, Thomas F

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Neighborhood Ecological study Leave-one-out cross validation

Anmerkung:	© Kim et al; licensee BioMed Central Ltd. 2012

Übergeordnetes Werk:	Enthalten in: International journal of health geographics - London : BioMed Central, 2002, 11(2012), 1 vom: 03. Apr.
Übergeordnetes Werk:	volume:11 ; year:2012 ; number:1 ; day:03 ; month:04

Links:	Volltext

DOI / URN:	10.1186/1476-072X-11-10

Katalog-ID:	SPR028811178

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520			\|a Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters.
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allfields	10.1186/1476-072X-11-10 doi (DE-627)SPR028811178 (SPR)1476-072X-11-10-e DE-627 ger DE-627 rakwb eng Kim, Deok Ryun verfasserin aut Determining optimal neighborhood size for ecological studies using leave-one-out cross validation 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kim et al; licensee BioMed Central Ltd. 2012 Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. Neighborhood (dpeaa)DE-He213 Ecological study (dpeaa)DE-He213 Leave-one-out cross validation (dpeaa)DE-He213 Ali, Mohammad aut Sur, Dipika aut Khatib, Ahmed aut Wierzba, Thomas F aut Enthalten in International journal of health geographics London : BioMed Central, 2002 11(2012), 1 vom: 03. Apr. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:11 year:2012 number:1 day:03 month:04 https://dx.doi.org/10.1186/1476-072X-11-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2012 1 03 04
spelling	10.1186/1476-072X-11-10 doi (DE-627)SPR028811178 (SPR)1476-072X-11-10-e DE-627 ger DE-627 rakwb eng Kim, Deok Ryun verfasserin aut Determining optimal neighborhood size for ecological studies using leave-one-out cross validation 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kim et al; licensee BioMed Central Ltd. 2012 Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. Neighborhood (dpeaa)DE-He213 Ecological study (dpeaa)DE-He213 Leave-one-out cross validation (dpeaa)DE-He213 Ali, Mohammad aut Sur, Dipika aut Khatib, Ahmed aut Wierzba, Thomas F aut Enthalten in International journal of health geographics London : BioMed Central, 2002 11(2012), 1 vom: 03. Apr. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:11 year:2012 number:1 day:03 month:04 https://dx.doi.org/10.1186/1476-072X-11-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2012 1 03 04
allfields_unstemmed	10.1186/1476-072X-11-10 doi (DE-627)SPR028811178 (SPR)1476-072X-11-10-e DE-627 ger DE-627 rakwb eng Kim, Deok Ryun verfasserin aut Determining optimal neighborhood size for ecological studies using leave-one-out cross validation 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kim et al; licensee BioMed Central Ltd. 2012 Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. Neighborhood (dpeaa)DE-He213 Ecological study (dpeaa)DE-He213 Leave-one-out cross validation (dpeaa)DE-He213 Ali, Mohammad aut Sur, Dipika aut Khatib, Ahmed aut Wierzba, Thomas F aut Enthalten in International journal of health geographics London : BioMed Central, 2002 11(2012), 1 vom: 03. Apr. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:11 year:2012 number:1 day:03 month:04 https://dx.doi.org/10.1186/1476-072X-11-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2012 1 03 04
allfieldsGer	10.1186/1476-072X-11-10 doi (DE-627)SPR028811178 (SPR)1476-072X-11-10-e DE-627 ger DE-627 rakwb eng Kim, Deok Ryun verfasserin aut Determining optimal neighborhood size for ecological studies using leave-one-out cross validation 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kim et al; licensee BioMed Central Ltd. 2012 Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. Neighborhood (dpeaa)DE-He213 Ecological study (dpeaa)DE-He213 Leave-one-out cross validation (dpeaa)DE-He213 Ali, Mohammad aut Sur, Dipika aut Khatib, Ahmed aut Wierzba, Thomas F aut Enthalten in International journal of health geographics London : BioMed Central, 2002 11(2012), 1 vom: 03. Apr. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:11 year:2012 number:1 day:03 month:04 https://dx.doi.org/10.1186/1476-072X-11-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2012 1 03 04
allfieldsSound	10.1186/1476-072X-11-10 doi (DE-627)SPR028811178 (SPR)1476-072X-11-10-e DE-627 ger DE-627 rakwb eng Kim, Deok Ryun verfasserin aut Determining optimal neighborhood size for ecological studies using leave-one-out cross validation 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kim et al; licensee BioMed Central Ltd. 2012 Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. Neighborhood (dpeaa)DE-He213 Ecological study (dpeaa)DE-He213 Leave-one-out cross validation (dpeaa)DE-He213 Ali, Mohammad aut Sur, Dipika aut Khatib, Ahmed aut Wierzba, Thomas F aut Enthalten in International journal of health geographics London : BioMed Central, 2002 11(2012), 1 vom: 03. Apr. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:11 year:2012 number:1 day:03 month:04 https://dx.doi.org/10.1186/1476-072X-11-10 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2012 1 03 04
language	English
source	Enthalten in International journal of health geographics 11(2012), 1 vom: 03. Apr. volume:11 year:2012 number:1 day:03 month:04
sourceStr	Enthalten in International journal of health geographics 11(2012), 1 vom: 03. Apr. volume:11 year:2012 number:1 day:03 month:04
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author	Kim, Deok Ryun
spellingShingle	Kim, Deok Ryun misc Neighborhood misc Ecological study misc Leave-one-out cross validation Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
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topic_title	Determining optimal neighborhood size for ecological studies using leave-one-out cross validation Neighborhood (dpeaa)DE-He213 Ecological study (dpeaa)DE-He213 Leave-one-out cross validation (dpeaa)DE-He213
topic	misc Neighborhood misc Ecological study misc Leave-one-out cross validation
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title	Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
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title_full	Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
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author_browse	Kim, Deok Ryun Ali, Mohammad Sur, Dipika Khatib, Ahmed Wierzba, Thomas F
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title_sort	determining optimal neighborhood size for ecological studies using leave-one-out cross validation
title_auth	Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
abstract	Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. © Kim et al; licensee BioMed Central Ltd. 2012
abstractGer	Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. © Kim et al; licensee BioMed Central Ltd. 2012
abstract_unstemmed	Abstract We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. © Kim et al; licensee BioMed Central Ltd. 2012
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title_short	Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
url	https://dx.doi.org/10.1186/1476-072X-11-10
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Determining optimal neighborhood size for ecological studies using leave-one-out cross validation

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