Cargando…
Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361501/ https://www.ncbi.nlm.nih.gov/pubmed/22471893 http://dx.doi.org/10.1186/1476-072X-11-10 |
_version_ | 1782234138058686464 |
---|---|
author | Kim, Deok Ryun Ali, Mohammad Sur, Dipika Khatib, Ahmed Wierzba, Thomas F |
author_facet | Kim, Deok Ryun Ali, Mohammad Sur, Dipika Khatib, Ahmed Wierzba, Thomas F |
author_sort | Kim, Deok Ryun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3361501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33615012012-06-01 Determining optimal neighborhood size for ecological studies using leave-one-out cross validation Kim, Deok Ryun Ali, Mohammad Sur, Dipika Khatib, Ahmed Wierzba, Thomas F Int J Health Geogr Methodology 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. BioMed Central 2012-04-03 /pmc/articles/PMC3361501/ /pubmed/22471893 http://dx.doi.org/10.1186/1476-072X-11-10 Text en Copyright ©2012 Kim et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Kim, Deok Ryun Ali, Mohammad Sur, Dipika Khatib, Ahmed Wierzba, Thomas F Determining optimal neighborhood size for ecological studies using leave-one-out cross validation |
title | Determining optimal neighborhood size for ecological studies using leave-one-out cross validation |
title_full | Determining optimal neighborhood size for ecological studies using leave-one-out cross validation |
title_fullStr | Determining optimal neighborhood size for ecological studies using leave-one-out cross validation |
title_full_unstemmed | Determining optimal neighborhood size for ecological studies using leave-one-out cross validation |
title_short | Determining optimal neighborhood size for ecological studies using leave-one-out cross validation |
title_sort | determining optimal neighborhood size for ecological studies using leave-one-out cross validation |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361501/ https://www.ncbi.nlm.nih.gov/pubmed/22471893 http://dx.doi.org/10.1186/1476-072X-11-10 |
work_keys_str_mv | AT kimdeokryun determiningoptimalneighborhoodsizeforecologicalstudiesusingleaveoneoutcrossvalidation AT alimohammad determiningoptimalneighborhoodsizeforecologicalstudiesusingleaveoneoutcrossvalidation AT surdipika determiningoptimalneighborhoodsizeforecologicalstudiesusingleaveoneoutcrossvalidation AT khatibahmed determiningoptimalneighborhoodsizeforecologicalstudiesusingleaveoneoutcrossvalidation AT wierzbathomasf determiningoptimalneighborhoodsizeforecologicalstudiesusingleaveoneoutcrossvalidation |