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

机译:支持尼泊尔人口对气候变化脆弱性的高分辨率空间评估的地理空间数据集

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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) . 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.
机译:我们介绍了一个地理信息系统(GIS)数据集,其名义空间分辨率为一公里,该空间分辨率最初是由尼泊尔使用的高分辨率气候脆弱性模型得出并利用的网格多边形组成的。本文描述和共享的不同数据集已针对我们题为“尼泊尔人口对气候变化的脆弱性的高分辨率空间评估”的研究论文的特定目标进行了处理和定制(Mainali和Pricope,印刷中)。我们共享这些数据,认识到在尼泊尔的数据可用性,不同生物物理和社会经济变量的空间模式以及总体人口对气候变化和灾难的脆弱性方面存在巨大差距。各个变量以及此数据集中显示的整个变量集可用于更好地了解尼泊尔不同物理,生物,气候和脆弱性特征的空间格局。本文提供的数据集来自不同的国家和全球数据库,并经过统计处理以满足本文的需求。数据采用一公里栅格多边形的GIS就绪ESRI shapefile文件格式,每个数据集具有不同的字段(列)。

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