{BA2AA91A-E450-48E0-BE36-B5123CBE6024} 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 - Green Bay, WI - Potential Window Views of Water by Block Group 2014-08-01 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 describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. 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 in the EnviroAtlas community area that have a high number or percentage of people with potential views of water from their homes. 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 Ecosystem Services EnviroAtlas Environment Environmental Atlas Human Well-being Surface Water Water theme EnviroAtlas Wisconsin Green Bay, WI 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 -88.34016 -87.87984 44.35510 44.64010 2014-06-12 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 number and percentage of people within each block group that have potential views of water from their residence. Procedure 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 Green Bay, however these issues are not apparent. WVW = Window Views of Water 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//GBWI_metrics_Apr2020_CSV_Shapes.zip download Download The URL providing direct access to the downloadable dataset. download https://enviroatlas.epa.gov/download//GBWI_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 the EnviroAtlas 1 meter Land Cover for the community area. 2014-06-12T00:00:00 Create a water binary layer by reclassifying the land cover where 10 = 1 and all else = 0. 2014-06-12T00:00:00 Run the region group tool to group waterbodies together with options number of neighbors to use: EIGHT, zone grouping method: WITHIN, and ADD_LINK (add link field to output). 2014-06-12T00:00:00 Extract by Attributes from the Region Group raster groups of pixels where Count > 299 and Link = 1. 2014-06-12T00:00:00 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 40,000 cells. 2014-06-12T00:00:00 For each piece, convert the raster into a polygon, buffer the polygons by 50m, and project the buffers into Albers. 2014-06-12T00:00:00 For each piece, extract by mask the EnviroAtlas Dasymetric (2011 Version) pixels using the projected buffers. 2014-06-12T00:00:00 Merge all of the extracted dasymetric rasters together. 2014-06-12T00:00:00 Calculate the Zonal Statistics as a Table where the zones are the city's block groups and the raster is the extracted dasymetric pixels. 2014-06-12T00:00:00 Create a new dbf table from the city's block group table with only the BGRP and Dasy_Pop fields. 2014-06-12T00:00:00 Add two new fields: WVW_Pop (long), WVW_Pct (float, 5, 2). 2014-06-12T00:00:00 Join the zonal statistics table with the new table to calculate the new fields: WVW_Pop = Zonal Statistics.SUM; WVW_Pct = WVW_Pop/Dasy_Pop*100.</ 2014-06-12T00:00:00 Export the fields to be displayed in the EnviroAtlas to a new gdb table 2014-06-12T00:00:00 Calculate fields where Dasy_Pop = 0: All Fields = -99999 2014-06-12T00:00:00 Export the fields to be displayed in the EnviroAtlas to a final gdb table. 2014-06-12T00:00:00 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