Vector polygon map data of property parcels from Kootenai County, Idaho containing 88, 470 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.

Vector polygon map data of property parcels from Canyon County, Idaho containing 101,782 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.

This spatial data contains Surface Management Agency (SMA, also sometimes called Land Status) information for Idaho from the Idaho Bureau of Land Management (BLM). For federal government lands, this data displays the managing agency of the surface of the land, which does not mean the agency "owns" the land. SMA is sometimes referred to as "ownership", although this term is inaccurate when describing public lands. This Surface Management Agency data should not be used to depict boundaries (for example National Forest, National Park, National Wildlife Refuge, or Indian Reservation boundaries among others). Attribute information for the federal and private lands are from the BLM Master Title Plats (MTPs), the BLM case files, the BLM Legacy Rehost 2000 (LR2000) database, and corresponding federal Orders and official documents. Please note that because these official sources are strictly used, OTHER NON-BLM FEDERAL AGENCY LANDS MAY NOT BE ATTRIBUTED CORRECTLY unless the proper documents have been filed with the BLM and the land actions have been noted on the MTPs and in LR2000. Starting in the spring of 2011 a field called AGNCY_NAME is present in the data. The AGNCY_NAME field is intended to indicate the managing agency for polygons coded as OTHER in the MGMT_AGNCY field. The AGNCY_NAME field will not be used for the 100K Map Series published by the BLM for use by the public as all agencies in this field are not included in H-1553 Publication Standards Manual Handbook and, therefore, have no BLM Cartographic Standard. Except for polygons coded as OTHER in the MGMT_AGNCY field, all managing agency information in the AGNCY_NAME field should be the same as that of the MGMT_AGNCY field. The only intended difference between the AGNCY_NAME field and the MGMT_AGNCY field is where the MGMT_AGNCY is OTHER. In this case, the AGNCY_NAME will contain an abbreviation for an agency that is not represented in the H-1553 Publication Standards Manual Handbook. Examples of the agencies there are BIA (Bureau of Indian Affairs), USGS (United States Geological Survey), and FAA (Federal Aviation Administration). Attribute information for the State lands is received primarily through cooperation with the Idaho Department of Lands. This information might not reflect all State agency lands completely. A detailed analysis of State owned lands has not been done since June 2011; therefore, recent changes in ownership of State lands may not be reflected. Inclusion of State land information into this dataset is supplemental and should not be viewed as the authoritative source of State lands; please contact State agencies for questions about State lands. This data does not depict land management arrangements between government agencies such as Memorandums of Understanding or other similar agreements. When this data was originally generated in the early 2000's, the primary source of the geometry was the BLM Geographic Coordinate Database (GCDB), if it was available. In areas where GCDB was/is unavailable, the spatial features are taken from a variety of sources including the BLM Idaho Resource Base Data collection, BLM Idaho Master Title Plat AutoCad files, US Geological Survey Digital Line Graphs (DLGs), and US Forest Service Cartographic Feature Files (CFFs), among others (see Process Steps). It should be stressed that the geometry of a feature may not be GCDB-based in the first place, the geometry may shift away from GCDB due to a variety of reasons (topology procedures, automated software processes such as projections, etc.), and the GCDB-based features are not necessarily currently being edited to match improved GCDB. Therefore this data should NOT be considered actual GCDB data. For the latest Idaho GCDB spatial data, please contact the BLM Idaho State Office Cadastral Department at 208-373-4000. The BLM in Idaho creates and maintains this spatial data. This dataset is derived by dissolving based on the "MGMT_AGNCY" field from the master SMA GIS dataset (which is edited often) kept by the BLM Idaho State Office. Please get a fresh copy of this data a couple times a year as the SMA data is continually changing. Official actions that affect the managing agency happen often and changes to correct errors are always being made. Nevada SMA data was acquired from the BLM Nevada web site and clipped to the area that is managed by Idaho BLM Boise District. The data steward approved this dataset in October 2023. For more information contact us at blm_id_stateoffice@blm.gov.

This map provides assorted zoning, service areas, and municipal information to support property research for Boise, Idaho.

Valley County Planning and Zoning map application includes visuals for floodplains, administrative boundaries, public lands, parcels and more. The application was originally created for Planning and Zoning administration to communicate more easily with the public and community through utilization of an interactive map. The application includes the ability to draw and mark up the map for personalized reference and pdf map creation. All layers included in the map have been requested specifically by the Planning and Zoning Department and include:PLANNING AND TAX PARCEL INFOMunicipal Boundaries (Received an updated McCall boundary from McCall GIS, so use the taxing districts for Cascade and Donnelly but append the McCall boundary for McCall)Parcel BoundariesExempt Parcel BoundariesImproved Parcel BoundariesSubdivisionsAddress PointsCity Impact AreasAssessor's Plats (PLSS Search .mxd)Points of InterestWATER AND IRRIGATIONFloodplains/Firm PanelsBase Flood ElevationWells (Idaho Department of Water Resources Feature Service)Irrigation Districts (Idaho Department of Water Resources Feature Service)Sewer and Water Districts (Idaho State Tax Commission Feature Service)Water Districts (Idaho State Tax Commission Feature Service)WetlandsTAXING DISTRICTS AND EMERGENCY RESPONSEHerd DistrictsCounty Boundaries (Idaho State Tax Commission Feature Service)Fire Districts (will not stream ISTC feature service because we want sub-districts in our maps)Emergency Response Service PointsPUBLIC LANDS*Did not use the BLM Surface Management layer because was not allowed to configure and change the symbology or popups to customize for our County, also do not have accurate US Bureau or Rec data in that layer.PLSS Grid System (ESRI Federal User Community Feature Service)Bureau of Land ManagementBureau of ReclamationIdaho Department of LandsFrank Church Wilderness (US Forest Service Feature Service)US Forest Service (US Forest Service Feature Service)USFS MVUM Roads (US Forest Service Feature Service)USFS Non-Motorized Trails (US Forest Service Feature Service)

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

This data set depicts federal lands having restrictions on access or activities -- that is, lands mangaed by the National Park Service, Defense Department, or Energy Department -- in western North America. The data set was created by reformatting and merging state- and province-based ownership data layers originally acquired from diverse sources (including state GAP programs, USBLM state offices and other sources). For each original dataset 3 additional fields, "Pub_Pvt", "CA_OWN", and "SOURCE" were added and populated based on the specific ownership information contained in the source data. The original coverages were then merged based on the "CA_OWN" field. Finally, NPS, DOD, and DOE lands were selected out of the ownership layer. All work was completed in AcMap 8.3. This product and all source data are available online from SAGEMAP: http://sagemap.wr.usgs.gov.

description: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer; abstract: This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

This map of human habitation was developed, following a modification of Schumacher et al. (2000), by incorporating 2000 U.S Census Data and land ownership. The 2000 U.S. Census Block data and ownership map of the western United States were used to correct the population density for uninhabited public lands. All census blocks in the western United States were merged into one shapefile which was then clipped to contain only those areas found on private or indian reservation lands because human habitation on federal land is negligible. The area (ha) for each corrected polygon was calculated and the 2000 census block data table was joined to the shapefile. In a new field, population density (individuals/ha) corrected for public land in census blocks was calculated . SHAPEGRID in ARC/INFO was used to convert population density values to grid with 90m resolution.

This maps shows City of Boise annexations since the original townsite was established in 1866 by the Idaho Territorial Legislature. Use the time-slider to watch the City grow over time. An annexation is the legal incorporation of a geographic area in to a political body. A de-annexation is the secession of a geographic area from a political body. De-annexed areas are areas that were once part of the incorporated boundaries of Boise City but have been removed from the incorporated boundaries (based on the ordinance tied to the de-annexation). The source of the data is the ordinances of annexation recorded by the Boise City Clerks' office. The map also depicts the current incorporated boundaries for cities within Ada County. The Ada County Assessor's Office maintains the city limits and impact areas datasets within Ada County. City boundaries are determined by taxcode and maintained continually, adding areas annexed to city limits by current ordinances. The impact areas dataset depicts the unincorporated areas of Ada County surrounding each city as identified in Title 9 of the Ada County Code, in accordance with Idaho Code Section 67-6526. This data is maintained by City of Boise GIS and is based on the legal descriptions contained in the ordinances. This data set is continually being updated as annexations occur. It is current to the date it was published.For more information, please contact the Ada County Assessor's Division of Land Records/GIS or the City of Boise Planning & Development Services division.

This scanned historical map from the University of Idaho Experimental Forest archives shows ownership of lands on Moscow Mountain and vicinity. The printed paper map is dated April 23, 1934.This map was scanned on a Contex HD 5450 wide format scanner at 300 dpi with 24-bit color. The original file was scanned on April 7, 2023 and created as an uncompressed TIF file. Subsequently, a 300 dpi JPEG file was created from the archival TIF file using Adobe Photoshop 2023. The JPG file was rotated, de-skewed, and cropped to make the documents as usable as possible.The JPG file was georeferenced using georeferencing tools in ArcGIS Pro 3.0.1 in June, 2023. Twenty-two (22) control points were placed to align the image to the NAD 1983 UTM Zone 11N coordinate system. The public land survey system was used as the target layer. A first order polynomial transformation (affine) was selected to transform the image without deforming it and the georeferencing information was saved with the image. Total RMS error was less than 100.

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Greater Sage-Grouse Management Areas (habitat) in the Proposed Plan of the Great Basin Region, Idaho-SW Montana Sub-region, Greater Sage-grouse Environmental Impact Statement (EIS) as Priority, Important, and General. Management Areas were delineated by BLM, U.S. Forest Service, State of Idaho and the U.S. Fish and Wildlife Service based on considerations of sage-grouse occupancy, landscape, habitat and land use/adaptive management opportunities. This data was developed as the Administrative Draft Proposed Plan (ADPP). for the Great Basin Region, Idaho-SW Montana Sub-region, Greater Sage-grouse (Centrocercus urophasianus) Environmental Impact Statement (EIS). This layer was edited 5/7/2015 at the WO direction to add three areas of non-habitat in the Sagebrush Focal Areas as PHMA. See processing steps. Priority Habitat Management Areas (PHMA) have the highest conservation value based on various sage-grouse population and habitat considerations and reflect the most restrictive management designed to promote sage-grouse conservation. Important Habitat Management Areas (IHMA) are closely aligned with PHMA, but management is somewhat less restrictive, providing additional management flexibility. The General Habitat Management Areas (GHMA) designation is the least restrictive due to generally lower occupancy of sage-grouse and more marginal habitat conditions. A decision was made in September 2014 by the Washington Office that all sub-regions would use a consistent naming convention for identifying Habitat Management Areas (HMA). These are Priority Habitat Management Area (PHMA) and General Habitat Management Area (GHMA). The Idaho and Southwestern Montana sub-region has an additional HMA identified as Important Habitat Management Area (IHMA). Attributes in this layer were updated 9/26/2014. Core updated to PHMA, Important updated to IHMA, and General updated to GHMA. The layer was renamed from ManagementZones_Alt_G_05272014_Final to ManagementAreas_Alt_G_05272014_final. The field identifying the Management Areas was renamed from Management_Zone to Habitat_Management_Area. ManagementAreas_Alt_G_05272014_final renamed to Habitat_ADPP on 01212015. Field edits started with the Alt E map from DEIS (State of Idaho’s Alternative) as a baseline and were completed in December 2013. In subsequent discussions, the State and FWS Idaho Fish and Wildlife Office, expressed concerns about adding more areas to Core designation especially if outside the FWS PACs which were delineated prior to release of the DEIS. The final map used for the Proposed Plan reflects Management Zones (M.Z.s) delineations following multiple discussions between, BLM, FS, FWS and the State. Some additional areas in south central Idaho, Mountain Home, and Weiser area were added as GHMA, which are not reflected in the Alt D or E map. These were typically annual grassland areas from the Key Habitat Map that had been previously excluded from the initial PPH/PGH model. These areas have restoration potential or involve past or ongoing restoration efforts. “Donut holes” of less than 500 acres located inside a larger matrix were classified the same as the surrounding matrix. Snapping of PHMA, IHMA, or GHMA to meaningful edges or features (canyons, allotment/pasture boundaries, roads etc.) was completed at the field level to facilitate use of the map designations at the field level. Specific changes can be viewed in MapEditsSummary_05232014_Final.docx, see metadata properties for the attachment

The surveys and plats feature layer includes information related to the following topics.Control Point - The control point dataset represents corner points that have been observed by IDL staff or a licensed surveyor. Corners are points on the surface of the earth, determined by the surveying process, which defines an extremity on a boundary of the public lands. Points are represented by a type to determine the source of the corner. Control points have been gathered from various sources. These points are used to adjust the Parcel Fabric. This allows for a more accurate GIS representation of ground conditions.Survey and Plat Line - A record of survey is a detailed map that documents and identifies the physical land boundaries or property lines for a specific parcel of land. This feature class represents the parcel lines documented in a record of survey. These records of surveys can include subdivision plats and surveys performed by federal entities. The metes and bounds information is stored as attribute values.Subdivision - "Subdivision" means the division of a lot, tract, or parcel of land into two or more lots, plats, sites, or other divisions of land for the purpose, whether immediate or future, of sale or of building development. It includes resubdivision and, when appropriate to the context, relates to the process of subdividing or to the land or territory subdivided.Lots and Blocks - A lot is an individual piece of land which is intended to be conveyed in its entirety to a buyer. A block is generally a group of contiguous lots bounded by streets, such as a city block.Record of Surveys - A record of survey is a detailed map that documents and identifies the physical land boundaries or property lines for a specific parcel of land. This feature class represents the parcels documented in a record of survey. These records of surveys do not include subdivision plats, lots, or blocks.State Surface Ownership - This feature class contains the surface ownership for endowment lands managed by the Idaho Department of Lands. There is also data for other state agencies, but this data is not complete.PLSS Township - Townships are normally a square approximately six miles on a side with cardinal boundaries conforming to meridians and parallels, containing 36 sections of one square mile each.PLSS Section - The first set of divisions for a PLSS Township. Typically 640 acres or 1 square mile.PLSS Subsection - Is a quarter, quarter-quarter, sixteenth, or government lot division of the PLSS.

This is a polygon data set that depicts the locations of easements and vacations of easements granted to the City of Boise. An easement is a legal right to make use of land owned by another party, for a specific and limited purpose as specified within an easement description. An easement vacation is a legal declaration to relinquish to the parcel owner the easement that was formerly granted. Easements are attained by the City of Boise in the following ways: 1)through right-of-way vacation from Ada County Highway District where the City of Boise retains rights to build and maintain utility structures across the area vacated within the vacation description; 2)a Boise City Council resolution where a grantor gives the City the right to build and maintain sanitary sewer, geothermal, drainage or pressure irrigation across their property; 3)as a grant of easement or grant deed recorded at Ada County; and 4) as a note on a subdivision final plat that a specific lot, portion of a lot or lots is shown to have an easement across it (them) and may or may not include dimensions of the easement. All easements in this data set are within the Boise City Area of Impact. This data set is maintained by Boise City Public Works GIS staff. Features in this data set are derived from available computer aided drafting CAD drawings, paper map documents and legal descriptions that define easement locations. Easements have been granted to the City of Boise since about 1900 to the present. Documentation of easements prior to 1970 is incomplete; therefore most of the easements in this data set will be from 1970 to the present. The data is updated continuously. It is current to the date it was published.

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description: This data series contains 22 map layers for the University of Idaho Main Campus Moscow, Idaho. Map layers include building footprints, automobile, motorcycle and bike parking, curbs, land use, pedestrian lights, tree health, walkways, and sidewalk as well as others. Most data are not being updated on a regular basis and are current only to 2005.; abstract: This data series contains 22 map layers for the University of Idaho Main Campus Moscow, Idaho. Map layers include building footprints, automobile, motorcycle and bike parking, curbs, land use, pedestrian lights, tree health, walkways, and sidewalk as well as others. Most data are not being updated on a regular basis and are current only to 2005.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

Property ID, name(s), document type, and description: SP0195; New Hilarity Property; map: Metsker's Atlas of Shoshone County.