Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: Extent The ParkServe database maintains an inventory of parks for every urban area in the U.S., including Puerto Rico. This includes all incorporated and Census-designated places that lie within any of the country’s 3,000+ census-designated urban areas. This totals to over 15,000 cities, towns, or villages included in the database, which represents about 75% of the U.S. population. Parks Database Trust for Public land compiled the ParkServe database from 2016 to 2018. TPL contacted each city or town to request parks data, as well as searched for GIS parks data resources on municipal and regional open data websites. If no GIS data were available, we delineated park boundaries based on satellite imagery, and confirmed public access via city park websites or signage viewable through Google Street View. Cities and towns were given the opportunity to confirm our delineated boundaries. Today, there are about 145,000 parks in the ParkServe database. Parks data for the 100 largest cities are updated annually as part of the ParkScore Index, and parks data for all other places are updated on a monthly basis following TPL verification of public submissions via the ParkReviewer tool. How do we define a park? In order to accurately represent park access across large communities, open public access is the key criteria for inclusion in our database. We include a wide variety of parks, trails, and open space, so long as there is no barrier to entry. Examples of parks we include: Publicly-owned local, state, and national parks, trails, and open space School with a joint-use agreement with the local government. Privately-owned parks that are managed for full public use Examples of parks we don’t include: Parks in gated communities Private golf courses Private cemeteries School parks/playgrounds without active joint-use agreements Zoos, museums, professional sports stadiums For field descriptions, see https://www.tpl.org/park-data-downloads
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Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: This feature class represents the trails element and land-based greenways for the Northeastern Illinois Regional Greenways and Trails Plan - 2016 Update, recommended by the CMAP Transportation Committee. This feature class is an integral element of the Bikeway Information System. The Bikeway Information System represents existing and planned bikeways in in the Illinois Counties of Cook, DuPage, Kane, Kendall, Lake, McHenry, and Will. It is anticipated that the 2016 Update will be integrated into ON TO 2050, the comprehensive regional plan being developed for the region. In the interim, this update is suitable for regional programming purposes.January, 2022 Status Update:The status of trails (existing, planned, future, etc), has been updated to reflect lettings through January, 2022, to reflect the December, 2021 Chicago Bike Network online map, a review of previously programmed linework, the CMAP eTIP Database and Interactive Map, and a review of nearmap.com aerials to identify regionally-planned bikeways that were built in conjunction with recent land developments.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: CMAP, the Chicago Metropolitan Agency for Planning
Description: This feature class represents the trails element and land-based greenways for the Northeastern Illinois Regional Greenways and Trails Plan - 2016 Update, recommended by the CMAP Transportation Committee. This feature class is an integral element of the Bikeway Information System. The Bikeway Information System represents existing and planned bikeways in in the Illinois Counties of Cook, DuPage, Kane, Kendall, Lake, McHenry, and Will. It is anticipated that the 2016 Update will be integrated into ON TO 2050, the comprehensive regional plan being developed for the region. In the interim, this update is suitable for regional programming purposes.January, 2022 Status Update:The status of trails (existing, planned, future, etc), has been updated to reflect lettings through January, 2022, to reflect the December, 2021 Chicago Bike Network online map, a review of previously programmed linework, the CMAP eTIP Database and Interactive Map, and a review of nearmap.com aerials to identify regionally-planned bikeways that were built in conjunction with recent land developments.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: CMAP, the Chicago Metropolitan Agency for Planning
Description: This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: U.S. EPA Office of Land and Emergency Management
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.
Description: Documentation can be found on the Economically Disconnected Areas and Disinvested Areas wiki pages.Data and documentation also available on the CMAP Data Hub at: https://datahub.cmap.illinois.gov/dataset/on-to-2050-layer-edas-disinvested-areas
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Chicago Metropolitan Agency for Planning, 2018
Value: Stormwater Tree, i.e., within 20 ft. of impervious surface Label: Stormwater Tree, i.e., within 20 ft. of impervious surface Description: N/A Symbol:
Description: This dataset is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information.This dataset consists of georeferenced digital map data and computerized attribute data. The map data are in a state-wide extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Illinois. United States Department of Agriculture, Natural Resources Conservation Service. Available online at http://datagateway.nrcs.usda.gov/. 20210831 (202110 official release).
Description: This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS version 10.x File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to nearly 60 categories and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in the spring of YEAR. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and have been assigned a generic code of 6000 (non-parcel). NOTES: Land use polygons are based on county parcel geometry; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines. Parcel geometry received from the counties is used “as-is,” meaning there was no attempt to reconcile sliver gaps or overlaps between polygons in a county’s parcel set, nor along county boundaries where parcels may overlap slightly. Values for the landuse and open space management fields are coded domains. See tables domain_LANDUSE and domain_OSMGMT for code descriptions. Full description of land use categories can be found in the accompanying Land Use Classification Scheme PDF document.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Chicago Metropolitan Agency for Planning staff and interns.
Description: This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS version 10.x File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to nearly 60 categories and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in the spring of YEAR. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and have been assigned a generic code of 6000 (non-parcel). NOTES: Land use polygons are based on county parcel geometry; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines. Parcel geometry received from the counties is used “as-is,” meaning there was no attempt to reconcile sliver gaps or overlaps between polygons in a county’s parcel set, nor along county boundaries where parcels may overlap slightly. Values for the landuse and open space management fields are coded domains. See tables domain_LANDUSE and domain_OSMGMT for code descriptions. Full description of land use categories can be found in the accompanying Land Use Classification Scheme PDF document.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Chicago Metropolitan Agency for Planning staff and interns.
Description: CMAP has developed a Stormwater and Flooding strategy paper, which will inform the recommendations made in ON TO 2050 to address urban and riverine flooding. The paper presents strategies to reduce flooding impact throughout the region by integrating stormwater management into transportation and land use planning, alongside analysis of damages from past flooding events. To help direct these strategies, CMAP has developed urban and riverine Flooding Susceptibility Indexes (FSIs) to identify priority areas across the region for flooding mitigation activities. GIS datasets representing flood susceptibility factors were used to construct the indexes, by assessing each factor’s influence using a GIS-based frequency ratio approach. The approach, inputs, and results are described in greater detail in the technical appendix of the strategy paper. The values contained within the raster attribute table represent low (1) to high (10) flood susceptibility. The inputs are listed below, alongside their sources:Reported Flood Locations: FEMA National Flood Insurance Program Claims, FEMA Individual Assistance Grants, FEMA Discovery Data, City of Chicago 311 Standing Water Locations, MWRD Detailed Watershed Plans, DuPage County GIS, Kendall County Department of Planning, Lake County Stormwater Management Commission.Topographic Wetness Index: CMAP analysis of Illinois State Geological Survey (ISGS) Light Detection and Ranging (LiDAR) data.Combined sewer service areas: Metropolitan Water Reclamation District; IL EPA; municipalities with combined sewers outside of Cook County.Elevation differential between property and nearest Base Flood Elevation (BFE): CMAP analysis of ISGS LiDAR data and FEMA BFE data.Impervious cover: 2011 National Land Cover Dataset.Impervious cover of watershed catchment: CMAP analysis of NLCD and National Hydrography Program data.Age of first development: U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Wall-to-Wall Anthropogenic Land Use Trends (NWALT) 1974-2012 land cover.Precipitation variation: NOAA Atlas 14 10-year, two hour storm event.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Please cite the Chicago Metropolitan Agency for Planning (2017) as data source, including a link to the Stormwater and Flooding strategy paper when possible. The inputs used to create this dataset were varied, and are described alongside creation procedures in the strategy paper appendix.
Description: CMAP has developed a Stormwater and Flooding strategy paper, which will inform the recommendations made in ON TO 2050 to address urban and riverine flooding. The paper presents strategies to reduce flooding impact throughout the region by integrating stormwater management into transportation and land use planning, alongside analysis of damages from past flooding events. To help direct these strategies, CMAP has developed urban and riverine Flooding Susceptibility Indexes (FSIs) to identify priority areas across the region for flooding mitigation activities. GIS datasets representing flood susceptibility factors were used to construct the indexes, by assessing each factor’s influence using a GIS-based frequency ratio approach. The approach, inputs, and results are described in greater detail in the technical appendix of the strategy paper. The values contained within the raster attribute table represent low (1) to high (10) flood susceptibility. The inputs are listed below, alongside their sources:Reported Flood Locations: FEMA National Flood Insurance Program Claims, FEMA Individual Assistance Grants, FEMA Discovery Data, City of Chicago 311 Standing Water Locations, MWRD Detailed Watershed Plans, DuPage County GIS, Kendall County Department of Planning, Lake County Stormwater Management Commission.Topographic Wetness Index: CMAP analysis of Illinois State Geological Survey (ISGS) Light Detection and Ranging (LiDAR) data.Combined sewer service areas: Metropolitan Water Reclamation District; IL EPA; municipalities with combined sewers outside of Cook County.Elevation differential between property and nearest Base Flood Elevation (BFE): CMAP analysis of ISGS LiDAR data and FEMA BFE data.Impervious cover: 2011 National Land Cover Dataset.Impervious cover of watershed catchment: CMAP analysis of NLCD and National Hydrography Program data.Age of first development: U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Wall-to-Wall Anthropogenic Land Use Trends (NWALT) 1974-2012 land cover.Precipitation variation: NOAA Atlas 14 10-year, two hour storm event.
Service Item Id: 53857c98c1b84e9d848b29058c13f6de
Copyright Text: Please cite the Chicago Metropolitan Agency for Planning (2017) as data source, including a link to the Stormwater and Flooding strategy paper when possible. The inputs used to create this dataset were varied, and are described alongside creation procedures in the strategy paper appendix.
Description: This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.