Geospatial data about Cass County, Indiana Neighborhoods. Export to CAD, GIS, PDF, CSV and access via API.

SpatioTemporal Asset Catalog (STAC) Item - in2022-gis-data-harvest in in-gis-data-harvest

In December 1997, the Indiana Association of Soil and Water Conservation Districts called a meeting of various county, state and federal agencies, as well as private companies known to have active GIS programs or interests. The goal of this meeting was to determine how funding could be generated to produce statewide digital orthophotography. The group that had assembled decided to continue meeting with a goal of implementing statewide GIS coordination. This effort became known as the Indiana Geographical Information Systems Initiative (INGISI).In 1998, thirty-nine government, academic and industry representatives signed the Indiana GIS Initiative Commitment to Success, formally endorsing the broad principles of INGISI. Initial funding was provided by grants from the Federal Geographic Data Committee and the Indiana Land Resources Council.Voluntary cooperation and partnership is a driving force behind successful community GIS initiatives, further garnering the required support to be sustainable. This Commitment to Success document proved to be impactful when speaking with senior executives.Today, Indiana has a thriving statewide geospatial program and ecosystem.Learn more about the Indiana Geographic Information Council history https://www.igic.org/history

This data layer is an Esri file geodatabase polygon feature class that contains parcel boundaries maintained by county agencies in Indiana. It was released by the Indiana Geographic Information Office (IGIO) on November 13, 2024. The IGIO compiled the data as part of the Indiana Data Harvest program between the Indiana Geographic Information Council (IGIC) and Indiana local governments to provide the most accurate framework data for the citizens of Indiana. These layers include address points, street centerlines, land parcels, and governmental boundaries.

The Digital Bedrock Geologic-GIS Map of Lincoln Boyhood National Memorial and Vicinity, Indiana 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 (libo_bedrock_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 (libo_bedrock_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 (libo_bedrock_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 readme file (libo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (libo_bedrock_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 (libo_bedrock_geology_metadata_faq.pdf). Please read the libo_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: Indiana Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (libo_bedrock_geology_metadata.txt or libo_bedrock_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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).

Vector polygon map data of property parcels from Allen County, Indiana containing 162,365 features.

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Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

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Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

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Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

From the U.S. Census Tiger/Line 2019 Technical Documentation (https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2019/TGRSHP2019_TechDoc.pdf page 3-62): States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty states, the Census Bureau treats the District of Columbia, Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as statistical equivalents of states for the purpose of data presentation. Census regions and divisions consist of groupings of states and equivalent entities. Region and division codes are included in the state shapefiles and users can merge state records to form those areas.

Municipal incorporation occurs when such municipalities become self-governing entities under the laws of the state or province in which they are located. Often, this event is marked by the award or declaration of a municipal charter. A city charter or town charter or municipal charter is a legal document establishing a municipality, such as a city or town.Under Indiana law, a municipality must have a minimum of 2,000 people to incorporate as a city. Except as noted, all cities are "third-class" cities with a seven-member city council and an elected clerk-treasurer. "Second-class" cities had a population of at least 35,000 and up to 600,000 at time of designation, and have a nine-member city council and an elected clerk. Indianapolis is the only "first-class" city in Indiana under state law, making it subject to a consolidated government known as Unigov. A town is differentiated from a city in that a town can not become a city until it has a population of at least 2,000.

The State of Indiana Geographic Information Office (GIO) has published a State-wide Elevation Catalog consisting of Digital Elevation Model (DEM) files from 2005, 2011-2013, and 2016-2020 in Cloud-Optimized GeoTIFF (COG) format on the AWS Registry of Open Data Account. These COG formatted files support the dynamic imagery services available from the GIO ESRI-based imagery solution. The Open Data on AWS is a repository of publicly available datasets for access from AWS resources. These datasets are owned and maintained by the Indiana GIO. These images are licensed by Creative Commons 0 (CC0). Cloud Optimized GeoTIF behaves as a GeoTIFF in all products; however, the optimization becomes apparent when incorporating them into web services.

COUNTY_PARCEL is a polygon feature class that contains land parcels maintained by county agencies in Indiana, provided by personnel of Indiana Geographic Information Office (IGIO) on October 17, 2019. These data were compiled by IGIO as part of the Indiana Data Sharing Initiative (IDSI) between Indiana Geographic Information Council (IGIC), Indiana Geographic Information Office (IGIO), Indiana Geological and Water Survey (IGWS) and participating Indiana counties to provide the most accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for the citizens of Indiana. The attributes have been expanded to now include parcel ID, dates of harvest from each county, property classification codes, property classification descriptions, street address information, and tax district ID numbers. Last updated October 2019. Parcel geometries loaded between 11/26/2018 and 6/18/2019 (see LOAD_DATE attribute field). DLGF information from "Real Property 2018 - Pay 2019" data records.

Includes geodatabase with statewide address points, street centerlines, parcels, and county boundaries for Indiana, 2024. Also includes zipped shapefiles for individual counties, state geocoder, and real property geodatabase.

National Hydrologic Dataset downloaded from USGS on 2/4/2022. This data is also available from the USGS as a service at https://hydro.nationalmap.gov/arcgis/rest/services/nhd/MapServerAbstract: The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. Use the metadata link, http://nhdgeo.usgs.gov/metadata/nhd_high.htm, for additional information. Purpose: The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.

This shapefile was derived from a predecessor coverage named "IN_LANDSURVEY." IN_LANDSURVEY is a digital representation of land survey features as represented on the USGS 1:24,000 digital raster graphic (DRG) series. ESRI ArcEdit 8.1 and ESRI ArcView 3.2 were used to extract the following shapefiles from IN_LANDSURVEY: LANDSURVEY_COUNTY_LINE_IN, LANDSURVEY_COUNTY_POLY_IN, LANDSURVEY_SECTIONS_LINE_IN, LANDSURVEY_SECTIONS_POLY_IN, LANDSURVEY_STATE_LINE_IN, LANDSURVEY_STATE_POLY_IN, LANDSURVEY_TOWNSHIPS_LINE_IN, and LANDSURVEY_TOWNSHIPS_POLY_IN.NOTE -- This shapefile is identical to a version named "INDIANA_STATEBDY_24K_IGS_L". This metadata file is a copy of the metadata for "INDIANA_STATEBDY_24K_IGS_L" that has had minor edits. The shapefile and metadata were renamed to conform to a file-naming convention for a project funded outside the IGS.

Geospatial data about Floyd County, Indiana Parcels. Export to CAD, GIS, PDF, CSV and access via API.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We converted the photointerpreted data into a GIS-usable format employing three fundamental processes: (1) orthorectify, (2) digitize, and (3) develop the geodatabase. All digital map automation was projected in Universal Transverse Mercator (UTM) projection, Zone 16, using North American Datum of 1983 (NAD83). To produce a polygon vector layer for use in ArcGIS, we converted each raster-based image mosaic of orthorectified overlays containing the photointerpreted data into a grid format using ArcGIS (Version 9.2, © 2006 Environmental Systems Research Institute, Redlands, California). In ArcGIS, we used the ArcScan extension to trace the raster data and produce ESRI shapefiles. We digitally assigned map attribute codes (both map class codes and physiognomic modifier codes) to the polygons, and checked the digital data against the photointerpreted overlays for line and attribute consistency. Ultimately, we merged the individual layers into a seamless layer of INDU and immediate environs. At this stage, the map layer has only map attribute codes assigned to each polygon. To assign meaningful information to each polygon (e.g., map class names, physiognomic definitions, link to NVC association and alliance codes), we produced a feature class table along with other supportive tables and subsequently related them together via an ArcGIS Geodatabase. This geodatabase also links the map to other feature class layers produced from this project, including vegetation sample plots, accuracy assessment sites, and project boundary extent. A geodatabase provides access to a variety of interlocking data sets, is expandable, and equips resource managers and researchers with a powerful GIS tool.

According to Indiana Statute, IC 6-1.1-4-25(b)(13), counties are required to submit parcel data in a GIS file format to the Indiana Office of Technology. In addition to the parcel data, the GIO works with the Counties to voluntarily obtain these additional datasets (addresses, centerlines, and numerous government boundaries).To learn more about the Indiana Geographic Information Office's annual data sharing efforts, please visit https://www.in.gov/gis/data-sharing/.

Includes geodatabases with address points, street centerlines, parcels, county boundaries, and other assorted geographic units for years 2013, 2014, 2015, 2018. There is limited metadata for these data and they are not otherwise publicly available. Please contact the Indiana Geographic Information Of...fice for more information. [more]

Indiana Reference Post point Inventory created as an ESRI point shapefile consisting of a Feature point geometry. The data set was compiled by Road Inventory of the Indiana GIS Department of Transportation (INDOT) . Dataset is classified as sde Feature Class. The Feature Class is projected Coordinate System: NAD 1983, UTM, Zone 16 N. The Projections is Transverse Mercator.Each Reference Post point Inventory is placed as to Position, Measure, and by Reference Post Name. The posts are "names" for known spots on the road. The names are sequentially numbered along the road. The Reference Post point Inventory is Dated as of 2006-2015.

This data layer is an Esri file geodatabase polygon feature class that contains parcel boundaries maintained by county agencies in Indiana. It was released by the Indiana Geographic Information Office (IGIO) on December 19, 2023. The IGIO compiled the data as part of the Indiana Data Harvest program between the Indiana Geographic Information Council (IGIC) and all Indiana counties to provide the most accurate framework data for the citizens of Indiana. These layers include address points, street centerlines, land parcels, and governmental boundaries.