Cargando…

Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal

We present a geographic information system (GIS) dataset with a nominal spatial resolution of one-kilometer composed of grid polygons originally derived and utilized in a high-resolution climate vulnerability model for Nepal. The different data sets described and shared in this article are processed...

Descripción completa

Detalles Bibliográficos
Autores principales: Mainali, Janardan, Pricope, Narcisa G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424950/
https://www.ncbi.nlm.nih.gov/pubmed/28516144
http://dx.doi.org/10.1016/j.dib.2017.04.045
_version_ 1783235219649724416
author Mainali, Janardan
Pricope, Narcisa G.
author_facet Mainali, Janardan
Pricope, Narcisa G.
author_sort Mainali, Janardan
collection PubMed
description We present a geographic information system (GIS) dataset with a nominal spatial resolution of one-kilometer composed of grid polygons originally derived and utilized in a high-resolution climate vulnerability model for Nepal. The different data sets described and shared in this article are processed and tailored to the specific objectives of our research paper entitled “High-resolution Spatial Assessment of Population Vulnerability to Climate Change in Nepal” (Mainali and Pricope, In press) [1]. We share these data recognizing that there is a significant gap in regards to data availability, the spatial patterns of different biophysical and socioeconomic variables, and the overall population vulnerability to climatic variability and disasters in Nepal. Individual variables, as well as the entire set presented in this dataset, can be used to better understand the spatial pattern of different physical, biological, climatic, and vulnerability characteristics in Nepal. The datasets presented in this article are sourced from different national and global databases and have been statistically treated to meet the needs of the article. The data are in GIS-ready ESRI shapefile file format of one-kilometer grid polygon with various fields (columns) for each dataset.
format Online
Article
Text
id pubmed-5424950
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-54249502017-05-17 Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal Mainali, Janardan Pricope, Narcisa G. Data Brief Data Article We present a geographic information system (GIS) dataset with a nominal spatial resolution of one-kilometer composed of grid polygons originally derived and utilized in a high-resolution climate vulnerability model for Nepal. The different data sets described and shared in this article are processed and tailored to the specific objectives of our research paper entitled “High-resolution Spatial Assessment of Population Vulnerability to Climate Change in Nepal” (Mainali and Pricope, In press) [1]. We share these data recognizing that there is a significant gap in regards to data availability, the spatial patterns of different biophysical and socioeconomic variables, and the overall population vulnerability to climatic variability and disasters in Nepal. Individual variables, as well as the entire set presented in this dataset, can be used to better understand the spatial pattern of different physical, biological, climatic, and vulnerability characteristics in Nepal. The datasets presented in this article are sourced from different national and global databases and have been statistically treated to meet the needs of the article. The data are in GIS-ready ESRI shapefile file format of one-kilometer grid polygon with various fields (columns) for each dataset. Elsevier 2017-04-29 /pmc/articles/PMC5424950/ /pubmed/28516144 http://dx.doi.org/10.1016/j.dib.2017.04.045 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Mainali, Janardan
Pricope, Narcisa G.
Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal
title Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal
title_full Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal
title_fullStr Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal
title_full_unstemmed Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal
title_short Geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in Nepal
title_sort geospatial datasets in support of high-resolution spatial assessment of population vulnerability to climate change in nepal
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424950/
https://www.ncbi.nlm.nih.gov/pubmed/28516144
http://dx.doi.org/10.1016/j.dib.2017.04.045
work_keys_str_mv AT mainalijanardan geospatialdatasetsinsupportofhighresolutionspatialassessmentofpopulationvulnerabilitytoclimatechangeinnepal
AT pricopenarcisag geospatialdatasetsinsupportofhighresolutionspatialassessmentofpopulationvulnerabilitytoclimatechangeinnepal