{1DDD75AC-3545-47DC-8FC7-EA2C810028D5} eng; USA utf8 dataset EnviroAtlas Coordinator US Environmental Protection Agency, Research Triangle Park ORD/NERL/EnviroAtlas 000-000-0000 109 TW Alexander Dr. Research Triangle Park NC 27711 EnviroAtlas@epa.gov pointOfContact 2025-02-13 ISO 19115 Geographic Information - Metadata ISO 19115:2003/Cor.1:2006(E) EnviroAtlas - Fresno, CA - Residents with Potential Window Views of Trees by Block Group 2014-07-25 publication U.S. EPA Office of Research & Development (ORD) - National Exposure Research Laboratory (NERL) Research Triangle Park NC publisher US Environmental Protection Agency (US EPA) originator This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ). The purpose of this dataset is to show block groups within the EnviroAtlas community that have a high number or percentage of people without potential views of trees at home. The overall goal of EnviroAtlas is to employ and develop the best available science to map indicators of ecosystem services production, demand, and drivers for the nation. completed EnviroAtlas Coordinator US Environmental Protection Agency, Research Triangle Park ORD/NERL/EnviroAtlas 000-000-0000 109 TW Alexander Dr. Research Triangle Park NC 27711 EnviroAtlas@epa.gov pointOfContact asNeeded Ecosystem Environment theme EPA GIS Keyword Thesaurus Census Block Groups Communities Demographics Ecosystem Services EnviroAtlas Environment Environmental Atlas Human Well-being Land Cover Natural Resources Trees theme EnviroAtlas California Fresno, CA place None https://edg.epa.gov/EPA_Data_License.htm otherRestrictions Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated. otherRestrictions Access Constraints: None. PUBLIC https://project-open-data.github.io/schema/#accessLevel Standard Technical Controls eng; USA environment -119.987249 -119.507299 36.616154 36.968864 2014-06-25 true Entity and Attribute Information Entity and Attribute Overview: For more information about EnviroAtlas data, go to https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets. This dataset shows the population and percentage of the block group that potentially has little access to window views of forest. The procedure was completed using Python scripts. A comprehensive list of metric creation steps is included in the Processing Steps. When calculating the EnviroAtlas Dasymetric Population Map, people are not allocated to certain land cover types or areas with steep slopes. In Fresno, however these issues are not apparent. WVT = Window Views of Trees Entity and Attribute Detail Citation: https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets EnviroAtlas Coordinator US Environmental Protection Agency, Research Triangle Park ORD/NERL/EnviroAtlas 000-000-0000 109 TW Alexander Dr. Research Triangle Park NC 27711 EnviroAtlas@epa.gov distributor https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip download Download The URL providing direct access to the downloadable dataset. download https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_FGDB.zip ESRI:ArcGIS API The endpoint of a web service to access the dataset (REST endpoint, WMS GetCapabilities URL, or a SOAP WSDL endpoint). webMapService https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer information Documentation URL for accessing related documents such as data dictionary, technical information about a dataset, developer documentation, etc. information https://www.epa.gov/enviroatlas/enviroatlas-data information Home Page Alternative landing page used to redirect user to a contextual, Agency-hosted "homepage" for the Dataset or API information dataset Horizontal Positional Accuracy Report Data were collected using methods that have unknown accuracy (EPA National Geospatial Data Policy [NGDP] Accuracy Tier 10). For more information, please see EPA's NGDP at https://www.epa.gov/geospatial/geospatial-policies-and-standards Features represented have not been tested for completeness Features represented have not been tested for completeness Tests for integrity have not been performed. This lineage was generated by the FGDC CSDGM to 19139 transformation Begin with EnviroAtlas 1-meter Land Cover for the EnviroAtlas community. 2014-06-25T00:00:00 Reclassify the Land Cover into a Forest binary (Trees & Forest, Orchards = 1, All Else = 0) 2014-06-25T00:00:00 Complete Focal Statistics on the binary Forest layer with a Circular Neighborhood of 50 Map Units 2014-06-25T00:00:00 Reclassify the Focal Statistics into Forest(>0 --> 0) or No Forest (0 --> 1) 2014-06-25T00:00:00 Convert the Focal Statistics output raster into polygons without simplifying. 2014-06-25T00:00:00 Split the raster into pieces for easier processing. The Python script determines the number of pieces based on the number of rows and columns in the raster where no piece can have a side larger than 20,000 cells 2014-06-25T00:00:00 For each piece, convert the raster into a polygon and select the features where gridcode = 1 2014-06-25T00:00:00 For each piece, Convert the polygons into Albers projection. 2014-06-25T00:00:00 Merge all of the projected polygons together 2014-06-25T00:00:00 Extract by Mask the EnviroAtlas Dasymetric (2011 version) pixels within the merged polygons. 2014-06-25T00:00:00 Complete the Zonal Statistics as Table where the zones are the city's block groups and the raster is the extracted dasymetric pixels. 2014-06-25T00:00:00 Create a new dbf table from the block group table with only the BGRP and Dasy_Pop fields 2014-06-25T00:00:00 Add two new fields: WVT_Pop (long), WVT_Pct (float, 5, 2). 2014-06-25T00:00:00 Join the zonal statistics table with the new table to calcualte the new fields: WVT_Pop = zonal statistics.SUM; WVT_Pct = WVT_Pop/Dasy_Pop*100. 2014-06-25T00:00:00 Export the fields to be displayed in the EnviroAtlas to a new gdb table 2014-06-25T00:00:00 Calculate fields where Dasy_Pop = 0: All Fields = -99999 2014-06-25T00:00:00 Export the fields to be displayed in the EnviroAtlas to a final gdb table 2014-06-25T00:00:00 unknown 2029-02-13 This metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2024-02-09T11:11:00 version of the FGDC CSDGM to ISO 19139 transform. EnviroAtlas Coordinator US Environmental Protection Agency, Research Triangle Park ORD/NERL/EnviroAtlas 000-000-0000 109 TW Alexander Dr. Research Triangle Park NC 27711 EnviroAtlas@epa.gov pointOfContact