Internally displaced persons, new displacement associated with conflict and violence (number of cases)

Locations of refugee camps, IDP sites and displacement settlements in Central African Republic. Use this layer for humanitarian response planning, protection monitoring, service delivery to displaced populations, and humanitarian needs assessment.

Global urban area polygons at 1:10 million scale from Natural Earth, representing the extent of built-up areas in cities and towns worldwide. Includes urban extent polygons with population and scale rank attributes. Use this layer for urban growth analysis, population distribution mapping, infrastructure planning, land use analysis, and cartographic base mapping at global and continental scales. No additional information provided.

Abstract: The Global Gridded Relative Deprivation Index (GRDI), Version 1 (GRDIv1) data set characterizes the relative levels of multidimensional deprivation and poverty in each 30 arc-second (~1 km) pixel, where a value of 100 represents the highest level of deprivation and a value of 0 the lowest. GRDIv1 is built from sociodemographic and satellite data inputs that were spatially harmonized, indexed, and weighted into six main components to produce the final index raster. Inputs were selected from the best-available data that either continuously vary across space or have at least administrative level 1 (provincial/state) resolution, and which have global spatial coverage. Purpose: To provide a global gridded relative deprivation index characterizing the levels of multidimensional deprivation in each pixel at ~1 km resolution. Citation: Global Gridded Relative Deprivation Index (GRDI), Version 1. Center for International Earth Science Information Network - CIESIN - Columbia University. (2022). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/3xxe-ap97 Publication References: Documentation for the Global Gridded Relative Deprivation Index (GRDI), Version 1. Center for International Earth Science Information Network - CIESIN - Columbia University. (2022). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/xwf1-k532

Full Metadata This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. For specific information about methods used to develop data for each community, consult their individual metadata records: Austin, TX; Birmingham, AL; Baltimore, MD; Brownsville, TX; Cleveland, OH; Des Moines, IA; Durham, NC; Fresno, CA; Green Bay, WI; Los Angeles, CA; Memphis, TN; Milwaukee, WI; Minneapolis/St. Paul, MN; New Bedford, MA; New Haven, CT; New York, NY; Phoenix, AZ; Pittsburgh, PA; Portland, ME; Paterson, NJ; Portland, OR; Salt Lake City, UT; St. Louis, MO; Tampa, FL; Washington, DC; and Woodbine, IA.

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).