Link to Wisconsin Statewide Parcel Map Initiative data download page on the Wisconsin State Cartographer's website.

Web map displaying Wisconsin DNR-produced Digital Elevation Model (DEM) and Hillshade image services, along with their index layer, in formats that are clickable and can be symbolized and filtered. This map can also be used as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.

The Digital Geologic-GIS Map of Saint Croix National Riverway and Vicinity, Minnesota and Wisconsin is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sacn_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sacn_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sacn_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (sacn_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sacn_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sacn_geology_metadata_faq.pdf). Please read the sacn_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Minnesota Geological Survey, Wisconsin Geological and Natural History Survey and National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sacn_geology_metadata.txt or sacn_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Wisconsin Act 20, the biennial state budget for 2013-2015, created statutory directives for state and local governments to coordinate on the development of a statewide digital parcel map. The Statewide Parcel Map Initiative is an effort to create a digital parcel map for Wisconsin by aggregating local parcel datasets utilizing geographic information systems (GIS) technology. The Parcel Initiative is a multi-faceted, multi-year collaborative effort of the Department of Administration, State Cartographer's Office, and local governments.

Access Wisconsin's 198 data folders with 1,291 services and 4,586 layers of parcel boundaries, property tax records, and GIS mapping data.

This data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.

Web map displaying WI DNR's Wisconsin Leaf-Off Digital Orthophotography imagery layer along with an index layer. This map can be used to identify the year and resolution of each county's imagery in this image service, or as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.*Note that this web map only contains DOPs that Wisconsin DNR has permission to display on a web map. Some counties may have newer DOPs.

This Coastal Barrier Resources System (CBRS) data set, produced by the U.S. Fish and Wildlife Service (Service), contains areas designated as undeveloped coastal barriers in accordance with the Coastal Barrier Resources Act (CBRA), 16 U.S.C. 3501 et seq., as amended. The boundaries used to create the polygons herein were compiled from the official John H. Chafee Coastal Barrier Resources System CBRS maps, which are accessible at the Service’s Headquarters office or https://www.fws.gov/program/coastal-barrier-resources-act/maps-and-data. These digital polygons are only representations of the CBRS boundaries shown on the official CBRS maps and are not to be considered authoritative. The Service is not responsible for any misuse or misinterpretation of this digital data set, including use of the data to determine eligibility for federal financial assistance such as federal flood insurance. As maps are revised, this data set will be updated with the new boundaries. CBRS boundaries viewed using the CBRS Mapper or the shapefile are subject to misrepresentations beyond the Service’s control, including misalignments of the boundaries with third party base layers and mis-projections of spatial data. The official CBRS map is the controlling document and should be consulted for all official determinations. Official determinations are recommended for all properties that are in close proximity (within 20 feet) of a CBRS boundary. For an official determination of whether or not an area or specific property is located within the CBRS, please follow the procedures found at https://www.fws.gov/service/coastal-barrier-resources-system-property-documentation. For any questions regarding the CBRS, please contact your local Service field office or email CBRA@fws.gov. Contact information for Service field offices can be found at https://www.fws.gov/our-facilities.Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.gov

The Arthur H. Robinson Map Library, a unit of the Department of Geography at the University of Wisconsin-Madison, serves a wide range of users from academic and non-academic communities.Map Library holdings include ~280,000 maps and ~260,000 historic aerial photos of Wisconsin. The collection contains only about 900 books and other bound volumes — mainly gazetteers, atlases, soil surveys, Wisconsin plat books, and other reference materials. Other physical materials include smaller collections of international aerial photography, nautical and aviation charts, globes, 3-D relief models, and wall maps.Geographic Information Systems (GIS) and digital geospatial datasets represent most of the library’s digital collections. Data from Wisconsin government agencies, counties, and cities are archived in the library each year and are available for download via the GeoData@Wisconsin geoportal.

Wetland and surface water polygon data mapped using LiDAR based sources and high-resolution leaf on/off imagery. Mapped to meet or exceed National Wetland Inventory mapping standards for limited parts of Wisconsin. Data mapped after 2018. Visible below 1:95,000.Funding is provided by the Wisconsin Coastal Management Program, the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant #NA19NOS419008, and the USDA Forest Service, Chequamegon-Nicolet National Forest through both the Good Neighbor Authority program in partnership with WDNR Forestry Division and internal appropriated funding. Portions of wetland mapping provided by the Great Lakes Indian Fish and Wildlife Commission in cooperation with the University of Wisconsin - Madison Department of Forestry and Wildlife Ecology and Department of Planning and Landscape Architecture.This layer should be used in conjunction with the following layers:

Wisconsin Wetland Inventory Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Point Layer (stereo-pair mapping)Wisconsin Wetland Inventory Point Layer (stereo-pair mapping)

For more information on 2013 FGDC Classification of Wetlands and Deepwater Habitats of the United States visit: https://www.fgdc.gov/standards/projects/wetlands/nwcs-2013For more information on Wisconsin DNR Wetland Mapping visit: https://dnr.wisconsin.gov/topic/Wetlands/inventory.htmlFor mapping methodology, visit: https://dnr.wisconsin.gov/sites/default/files/topic/Wetlands/WWI_SOP.pdf

Original Wisconsin Wetland Inventory maps were created using stereo-pair, 9”x9”, B/W (NIR) aerial photography flown at a scale of 1:20000 (1in=1667ft). Each photo covered four Public Land Survey System Sections with each section being approximately 1 square mile. Wetland delineations were drafted onto the photos using stereoscopes. The photos were scanned and the wetland information digitized into a GIS. Data mapped between 1988-2016. Visible below 1:95,000.Funded by the Wisconsin Coastal Management Program and the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant #NA19NOS419008.

This layer should be used in conjunction with the following layers to get full coverage:

Wisconsin Wetland Inventory NWI Polygon Layer (LiDAR based mapping)Wisconsin Wetland Inventory Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Point Layer (stereo-pair mapping)Wisconsin Wetland Inventory Point Layer (stereo-pair mapping)

For more information on Wisconsin DNR Wetland Mapping visit: https://dnr.wisconsin.gov/topic/Wetlands/inventory.html

For the Wisconsin Wetland Classification System used in the stereo-pair dataset visit: https://dnr.wisconsin.gov/sites/default/files/topic/Wetlands/WWI_Classification.pdf

Mileage Index for the North Country Trail in Wisconsin

Hybrid poplars have demonstrated high biomass productivity in the North Central USA as short rotation woody crops (SRWCs). However, our ability to quantitatively predict productivity for sites that are not currently in SRWCs is limited. In this study, the Physiological Processes Predicting Growth (3-PG) model was (1) assigned parameters for hybrid poplars using species-specific physiological data and allometric relationships from previously published studies, (2) calibrated for the North Central region using previously-published biomass data from eight plantations along with site-specific climate and soils data, (3) validated against previously published biomass data from four other plantations using linear regression of actual versus predicted total aboveground dry biomass, (4) evaluated for sensitivity of the model to manipulation of the parameter for age at full canopy cover (fullCanAge) and the fertility rating growth modifier, and (5) combined with soil and climate data layers to produce a map of predicted biomass productivity for the states of Minnesota and Wisconsin. This package contains the polygon feature layer and tabular data that correspond to 'Using a process-based model (3-PG) to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA.' (Headlee et al. 2013). The tabular data for mean annual biomass for hybrid poplar including the STATSGO soil and NARR climate values were used to generate the biomass values. The WTAvg_DM values represent the overall predicted biomass productivity for hybrid poplars.

Conditions are updated every 10 minutes during the winter season (October 15 to April 15) and on an as-needed basis during the non-winter months. Layer and service is maintained by the Iowa DOT GIS team on behalf of the Office of Traffic Operations. This data is provided as is through this value added REST service. All conditions have been remapped to the best of our ability to meet the condition reporting criteria as defined by the Iowa DOT. Some discrepancies may appear. This data service should only be used for reference only. For the most accurate information, please utilize the authoritative state 511 sites below.

State 511 Sites

511 Vendor

Disclaimers

North Dakota

Iteris

The data is provided as is and without liability from the North Dakota Department of Transportation (NDDOT). The NDDOT does not guarantee this data to be free from errors, or inaccuracies, and disclaims any responsibility or liability for interpretations or decisions based on this data. Additional Disclai

South Dakota

Iteris

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Nebraska

Castle Rock

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Kansas

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Missouri

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Illinois

The conditions reported on this page only represent conditions of routes maintained by the Illinois Department of Transportation. Conditions on roads maintained by cities, counties, townships or other entities may be different than what is reported here. The Illinois Department of Transportation and the State of Illinois hereby give notice to all users that these maps and the data included hereon, lack the accuracy required for site-specific uses. Since all boundaries and all data are based on information derived from multiple sources within and outside the Illinois Department of Transportation, the Department of Transportation and the State of Illinois make no representation, guarantee, or warrant, either express or implied, regarding the accuracy of these maps or the data furnished thereon, including, but not limited to, the condition of this product, this product's merchantability, or this product's fitness for any particular purpose or use.

Wisconsin

Access to and use of the Wisconsin Department of Transportation (WisDOT) 511wi website is provided subject to these terms and conditions. Please read these terms at WisDOT Legal Notices link.

Minnesota>

Castle Rock

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This dataset contains boundaries for the Bureau of Assisted Living regions. The Bureau of Assisted Living is within the Division of Quality Assurance and responsible for the regulation of assisted living providers.For more information please visit the Wisconsin Department of Health Services website: https://www.dhs.wisconsin.gov/dqa/bal-regionalmap.htm

Using geographic information systems (GIS), we mapped housing and population counts from the decennial U.S. Census Data at block group level geography to produce a spatially explicit dataset for the coterminous U.S. We also overlaid the raw housing data with the Protected Areas Dataset (PAD version 1.1) to split census block groups into privately and publicly owned sub-blocks, thereby creating a map that more accurately locates where people and houses exist in space. This data is useful within a GIS for mapping and analysis at national, state, and local levels.

Wisconsin's Outstanding and Exceptional Resource Water (OERW) designations are designed to include Wisconsin's cleanest waters. The OERW dataset was first developed in the 1990s using narrative descriptions from the state’s OERW designations described in NR102 and the state’s 1:24,000 scale hydrography dataset using 7.5 minute USGS topographic quadrangle maps. The OERW spatial data quality has been reviewed by GIS specialists working with biological field staff and using more detailed landmarks and data over time. The accuracy of the delineations continue to improve with the use of improved technologies and tools. Year 2006 designations were derived by selecting and copying applicable features from the 1:24,000 scale hydrography dataset.

This polygon feature class is a representation of Public Land Survey System (PLSS) quarter sections. The data are a subset of the Wisconsin DNR's 'Landnet' database, automated from 1:24,000-scale sources.*DNR staff have added an alpha field for the range direction field in this layer called DIR_ALPHA which uses W and E instead of numerical direction codes.

The Generalized Future Land Use (GFLU) Map makes recommendations for future land uses and development intensities to guide the physical development of Madison. The future land use categories guide what types of zoning can be applied, and ultimately what can be built in different parts of the city. For example, a parcel of land specified for future “Medium Residential” land use could be rezoned to allow for a multifamily apartment building but could not be rezoned to allow for industrial uses.

The Wisconsin Traffic Counts dataset combines traffic count data with GIS mapping technology to display data in a tabular format, on a map, or both. DV_TRADS_AADT_PT is a source of Wisconsin DOT traffic data information for road sections of the State Highways or select Local Federal-Aid roads. Traffic counts are reported as the number of vehicles expected to pass a given location on an average day of the year. This value is called the "annual average daily traffic" or AADT. The AADT is produced for either continuous count sites or short duration count sites. WisDOT collects continuous count data from about 320 permanent data collection locations primarily located on the State Trunk Highway System. Data at continuous count sites are scheduled to be collected in hourly intervals each day of the year. A short duration traffic count usually collects hourly intervals for a 48-hour period, taken at the specific locations throughout the state. Using continuous count data, short duration counts are then adjusted for the variation in traffic volume that occurs throughout the year. Short duration counts are collected over three, six, or ten-year cycles at more than 26,000 rural and urban locations throughout the state. In addition to Wisconsin DOT use for transportation management purposes, Wisconsin DOT is required to collect and report these statistics to the Federal Highway Administration monthly and annually.