Spatial data contains 2024 legislative boundaries for Wisconsin Assembly, Wisconsin Senate, and US Congressional districts. Tabular data contains crosswalks between Wisconsin public school districts and each of the three legislative district types (assembly, senate, and congressional).Methodology for determining overlap between Wisconsin school districts and the three legislative district types:Spatial join - attached school district and legislative district information to Wisconsin statewide parcel dataset. Each parcel gained the school district and legislative district information based on the geographic center (centroid) of the parcel. Dissolve - dissolved resulting dataset to summarize school district + state assembly district, school district + state sentate district, and school district + US congressional district combinations.Removed features that didn't contain both school district and legislative district information.Sorted spatial dataset by shape area and share length to find and removes errors of commission.Exported resulting tabular dataset.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The most recent state legislative district boundaries collected by the Census Bureau are for the 2022 election year and were provided by state-level participants through the RDP.

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

This dataset includes boundaries for all school district boundaries within the state of Wisconsin. By law, all territory in the state must be included within a public school district. The US Census Bureau identifies three types of school districts. Unified school districts serve children of all grade levels, Elementary primarily serve students in the elementary grades, and Secondary primarily serve children in grades 9-12. Out of 421 school districts in Wisconsin, 43 are considered elementary districts, 10 are secondary districts, and 368 are unified districts. Elementary and secondary school districts overlap. This layer is an aggregate of county-submitted data for school district boundaries.Each year, there is a chance for reorganizations to take place that either transfer territory between school districts or consolidate/dissolve/create districts. These reorganizations go into effect on July 1st of each year. In 2024, there were three (3) reorganizations that involved unified school districts and one (1) reorganization involving secondary and elementary districts. The reorganizations took place in Iowa, Waukesha, and Winnebago counties. Transfers of territory took place between the following pairs of districts: Iowa-Grant and Mineral Point, Norris and Washington-Caldwell, Norris and Waterford UHS, and Omro and Oshkosh. Please refer to the property transfer log for more information.This is not an official authoritative statewide dataset for school district boundaries nor does one exist for Wisconsin. These boundaries are updated annually around July 1 to reflect boundary changes from the reorganization process and as needed throughout the rest of the year.

Dashboards allow users to see 1) which school districts share territory with a selected legislative district - i.e. Wisconsin state assembly, Wisconsin state senate, or US Congressional district, 2) which legislative districts share territory with a selected school district, 3) which school districts share territory with a Wisconsin state legislative district represented by someone serving on the Joint Finance Committee and/or one of the Committees on Education, and 4) which private schools participating in a Choice program or SNSP are within a selected legislative district.This dataset is available in tabular form. Please visit the GIS Open Data Portal to download a file containing a crosswalk between school districts and each of the three legislative district types.NOTE: The dashboards in this collection contain the new state assembly and state senate district boundaries created by 2023 Wisconsin Act 94. US Congressional boundaries are from 2022. All three legislative boundary datasets are available from the Legislative Technology Services Bureau.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Congressional districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The 118th Congress is seated from January 2023 through December 2024. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by August 31, 2022.

The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generalized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2018 election year and provided by state-level participants through the RDP.

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

Includes Plate 1: Nitrate as Nitrogen in mg/L. Plate 2: Chloride in mg/L. Plate 3: Laboratory Measurement of Alkalinity in mg/L. Plate 4: Total Hardness in mg/L. Plate 5: Laboratory Measurement of Electrical Conductivity in μmhos/cm. Plate 6: Ferrous Iron in mg/L.

Geospatial data about Grant County, Wisconsin Municipal Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Waukesha County, Wisconsin Fire Districts. Export to CAD, GIS, PDF, CSV and access via API.

Legislative districts were adopted by the Wisconsin Supreme Court via Johnson v. Wisconsin Elections Commission, Case No. 2021AP1450-OA on April 15, 2022. Data was appended to U.S. Census TIGER 2020 Block geography with 2020 US Census PL 94-171 Demographic Data and dissolved by district.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

Geospatial data about Racine County, Wisconsin Municipal Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Waukesha County, Wisconsin FEMA Flood Insurance Rate Map Panels. Export to CAD, GIS, PDF, CSV and access via API.

Named Landforms of the World (NLW) contains four sub-layers representing geomorphological landforms, provinces, divisions, and their respective cartographic boundaries. The latter is to support map making, while the first three represent basic units such landforms comprise provinces, and provinces comprise divisions. NLW is a substantial update to World Named Landforms in both compilation method and the attributes that describe each landform.For more details, please refer to our paper, Named Landforms of the World: A Geomorphological and Physiographic Compilation, in Annals of the American Assocation of Geographers.Landforms are commonly defined as natural features on the surface of the Earth. The National Geographic Society specifies terrain as the basis for landforms and lists four major types: mountains, hills, plateaus, and plains. Here, however, we define landforms in a richer way that includes properties relating to underlying geologic structure, erosional and depositional character, and tectonic setting and processes. These characteristics were asserted by Dr. Richard E. Murphy in 1968 in his map, titled Landforms of the World. We blended Murphy's definition for landforms with the work E.M. Bridges, who in his 1990 book, World Geomorphology, provided a globally consistent description of geomorphological divisions, provinces, and sections to give names to the landform regions of the world. AttributeDescription Bridges Full NameFull name from E.M. Bridges' 1990 "World Geomorphology" Division and if present province and section - intended for labeling print maps of small extents. Bridges DivisionGeomorphological Division as described in E.M. Bridges' 1990 "World Geomorphology" - All Landforms have a division assigned, i.e., no nulls. Bridges ProvinceGeomorphological Province as described in E.M. Bridges' 1990 "World Geomorphology" - Not all divisions are subdivided into provinces. Bridges SectionGeomorphological Section as described in E.M. Bridges' 1990 "World Geomorphology" - Not all provinces are subdivided into sections. StructureLandform Structure as described in Richard E. Murphy's 1968 "Landforms of the World" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years Moist or DryLandform Erosional/Depositional variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. TopographicLandform Topographic type variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. Glaciation TypeLandform Erosional/Depositional variable as described in Richard E. Murphy's 1968 "Landforms of the World" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. ContinentAssigned by Author during data compilation. Bridges Short NameThe name of the smallest of Division, Province, or Section containing this landform feature. Murphy Landform CodeCombination of Richard E. Murphy's 1968 "Landforms of the World" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. Area_GeoGeodesic area in km2. Primary PlateName of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform's area. Secondary PlateWhen a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. 3rd PlateWhen a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. 4th PlateWhen a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. 5th PlateWhen a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. NotesContains standard text to convey additional tectonic process characteristics. Tectonic ProcessAssigns values of orogenic, rift zone, or above subducting plate.

These data are also available as an ArcGIS Pro Map Package: Named_Landforms_of_the_World_v2.0.mpkx.These data supersede the earlier v1.0: World Named Landforms.Change Log:

DateDescription of Change July 20, 2022Corrected spelling of Guiana from incorrect representation, "Guyana", used by Bridges. July 27, 2022Corrected Structure coded value domain value, changing "Caledonian/Hercynian Shield" to "Caledonian , Hercynian, or Appalachian Remnants".

Cite as:Frye, C., Sayre R., Pippi, M., Karagulle, Murphy, A., D. Soller, D.R., Gilbert, M., and Richards, J., 2022. Named Landforms of the World. DOI: 10.13140/RG.2.2.33178.93129. Accessed on:

This data set is intended to be paired with the CBRS Polygons and CBRS Prohibitions data sets to illustrate the stated horizontal accuracy of the boundaries therein. Users should pair this data with the CBRS Polygons or CBRS Prohibitions data and an orthoimage when inspecting areas that are within or in close proximity to the CBRS. Users are advised to contact the Service for an official determination as to whether a particular property or structure that falls either partially or completely within the CBRS Buffer Zone is located within the CBRS. For more information, see the metadata for the CBRS Polygons and CBRS Prohibitions available at https://www.fws.gov/media/digital-coastal-barrier-resources-system-boundaries.

Wisconsin County Supervisory districts collected in January 2025. [Attribute Definitions]. This data has been collected in regards to state statute 15(4)(br)1. County clerks will transmit municipal, municipal ward, and county supervisory districts in GIS format to LTSB by January 15th and July 15th* per statute 5.15(4)(br)1: "...no later than January 15 and July 15 of each year*, the county clerk shall transmit to the Legislative Technology Services Bureau a report confirming the boundaries of each municipality, ward, and supervisory district in the county together with a map of the county, in an electronic format approved by the Legislative Technology Services Bureau. Each report shall be current to the nearest January 1 or July 1* preceding the date of the report”.Municipal clerks need to notify the county clerk within 5 days of any boundary change per statute 5.15(4)(b): "Within 5 days after adoption or enactment of an ordinance or resolution under this section or any amendment thereto, the municipal clerk shall transmit one copy of the ordinance or resolution or the amendment to the county clerk of each county in which the municipality is contained, accompanied by the list and map specified in par. (a). Each copy shall identify the name of the municipality and the county or counties in which it is located."Municipal data collected in the January collections will be used by LTSB to update municipal boundaries the U.S. Census Bureau’s TIGER database via the Boundary Annexation Survey (BAS). Counties and municipalities are no longer required to submit boundary changes directly to the Census Bureau. LTSB will submit data to the Census Bureau for the state as a whole.Section 13.96(1)(b) of the Wisconsin Statutes requires LTSB to “upon receipt of municipal boundary information at each reporting interval, reconcile and compile the information received to produce a statewide data base consisting of municipal boundary information for the entire state”.Section 13.96(1)(c) states that LTSB shall “Participate, on behalf of this state, in geographic boundary information programs when offered by the U.S. bureau of the census”.LTSB will publish Municipal Wards, Municipal Boundaries (cities, towns, villages), and County Supervisory Districts to the LTSB GIS Hub website.This data has been collected with the LTSB GeoData Collector.*with the exception of years ending in “01” where data collection will align closer to typical redistricting timelines of March and October 15

City of Madison Urban Design DistrictsThis data layer is used by the Urban Design Districts, Zoning Districts and Development Information applications.