Vector polygon map data of property parcels from the State of Arizona containing 1,422,231 features.
Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.
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.
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 dataset represents the GIS Version of the Public Land Survey System in Arizona including both rectangular and non-rectangular surveys. This dataset is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This dataset includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners.
The purpose of this dataset is to fulfill the public and Government’s need to know which agency is managing Federal land in a given area. For example, there may be a need to know what agency is managing a certain tract of land for the purpose of paying permit fees, obtaining licenses, or becoming informed about current laws, regulations, and restrictions governing access to and use of the land. This dataset serves as a tool to determine and illustrate the boundaries of a particular Federal agency’s “managing” area and to quantify these areas in terms of geographic acreage. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities. The geographic acreages contained in this dataset are not derived from legal documents associated with title documents or survey records. Rather, they are computed by mathematical programs and are described in detail in the supplemental section of the definition document referenced at the end of this section.The data can be used for small scale (1:24,000 and smaller) analysis and cartographic products.SMA was originally derived from the land dataset produced by the Arizona State Land Dept (ASLD), and the Arizona Land Resource Information System (ALRIS). The land dataset was initiated in 1984 and updated in the spring of 1988 by the State Land Department Forestry Division and ALRIS. The data was then projected into ARC/INFO format and edited using the procedures from the ASLD Land Status Map Digitizing Procedure guide. The land dataset covers the entire State of Arizona and includes surface management, public land survey system (PLSS) provided by the Department of Transportation (ADOT), and county and state boundaries.
The Year 2000 Land Use coverage was created as a joint effort of MAG and MAG member agency staff. Land Use components were classified into 46 categories. The Year 2000 Land Use coverage is used for a variety of planning purposes including socioeconomic forecasting and air quality modeling.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
City of Phoenix parcel boundaries and details are shown for use to provide the best readability when used with different basemaps or aerial photos. Not intended for surveying, legal or engineering purposes. For non-commercial purposes only! This data is updated monthly.
1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.
This data set consists of all incorporated city boundaries throughout Arizona. The data is updated continually throughout the year and published approximately quarterly. The most recent publishing occurred in April 2013.
This data set is a hill shade, of the 1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.
This dataset is part of the Cadastral National Spatial Data Infrastructure (CadNSDI) publication dataset for rectangular and non‐rectangular Public Land Survey System (PLSS) data. This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-‐ Attribute section of this metadata describes these components in greater detail. The CadNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally.
Vector polygon map data of property parcels from Yavapai County, Arizona containing 184,470 features.
Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.
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.
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 dataset has been created to meet the needs of the research community of Arizona State University. Apart from purely vizualization purposes (i.e. displaying the data on various maps) it can potentially be used for spatial modeling. The data consist of engineering-quality contours, also known as isolines, created from the NED 10-meter Digital Elevation Model subset to the extent somewhat exceeding Cetral Arizona - Phoenix LTER. Contours ( lines connecting points of equal height above sea level) are drawn at 15 meter intervals with the base set at 145 m of elevation. Contours are an exact interpretation of the grid surface model and may sometimes appear blocky looking, may cross, appear to intersect, or form an unclosed branching line. All these are valid engineering-quality interpretations of the elevation surface that cartographers typically modify (smooth) for aesthetic purposes.
This dataset includes the polygon features representing the spatial extent and boundaries of the Bureau of Land Management (BLM) National Landscape Conservation System (NLCS) Wilderness Areas (WLD), Wilderness Study Areas (WSA), and Other Related Lands with wilderness characteristics (LWC) or managed for wilderness characteristics (MWC).The data standard for these boundaries will assist in the management of all eleven designations within the NLCS. Particularly, NLCS data pertains to the following BLM groups and their purposes: Land Use Planners, GIS Specialists, NLCS team leads, BLM managers, and public stakeholder groups.As early as 1926, the earliest advocates of wilderness preservation had acknowledged the beauty and important ecological values of the desert lands under the BLM’s administration as candidates for wilderness protection. In 1964, Congress established the National Wilderness Preservation System and designated the first Wilderness Areas in passing the Wilderness Act. The uniquely American idea of wilderness has become an increasingly significant tool to ensure long-term protection of natural landscapes. Wilderness protects the habitat of numerous wildlife species and serves as a biodiversity bank for many species of plants and animals. Wilderness is also a source of clean water.The Federal Land Policy and Management Act of 1976 directed the BLM to inventory and study its roadless areas for wilderness characteristics. Here identified areas became WSAs. The establishment of a WSA served to identify areas for Congress to consider for addition to the National Wilderness Preservation System. To be designated as a WSA, an area must have the following characteristics: Size - roadless areas of at least 5,000 acres of public lands or of a manageable size; Naturalness - generally appears to have been affected primarily by the forces of nature; Opportunities - provides outstanding opportunities for solitude or primitive and unconfined types of recreation. In addition, WSAs often have special qualities such as ecological, geological, educational, historical, scientific and scenic values.In June 2000, the BLM responded to growing concern over the loss of open space by creating the NLCS. The NLCS brings into a single system some of the BLM's premier designations. The Wilderness Areas, WSAs, and Other Related Lands represent three of these eleven premier designations. By putting these lands into an organized system, the BLM hopes to increase public awareness of these areas' scientific, cultural, educational, ecological and other values.The BLM's management of all public lands included data within the NLCS is guided by the Federal Land Policy and Management Act (FLPMA). FLPMA ensures that many of BLM's traditional activities such as grazing and hunting, continue on the lands within the NLCS, provided these activities are consistent with the overall purpose of the area.A Wilderness is a special place where the earth and its community of life are essentially undisturbed; they retain a primeval character, without permanent improvements and generally appear to have been affected primarily by the forces of nature. BLM NLCS Other Related Lands are lands not in Wilderness or WSAs that have been determined to have wilderness character through inventory or land use planning. These lands fall into one of two categories. The first category are lands with "wilderness value and characteristics". These are inventoried areas not in Wilderness or WSAs that have been determined to meet the size, naturalness, and the outstanding solitude and/or the outstanding primitive and unconfined recreation criteria. The second category are "wilderness characteristic protection areas". These are former lands with "wilderness value and characteristics" where a plan decision has been made to protect them.To be designated as a WSA, an area must have the following characteristics: Size - roadless areas of at least 5,000 acres of public lands or of a manageable size; Naturalness - generally appears to have been affected primarily by the forces of nature; Opportunities - provides outstanding opportunities for solitude or primitive and unconfined types of recreation. In addition, WSAs often have special qualities such as ecological, geological, educational, historical, scientific and scenic values.There were forty-seven Wilderness Areas established under the Arizona Wilderness Act of 1984 and Arizona Desert Wilderness Act of 1990. These Acts require the BLM to file boundary legal descriptions and maps to Congress for each Wilderness Area. The standards, format, and language for the legal descriptions and boundary maps were developed during regular meetings of the NLCS Coordinator, GIS specialists and the Cadastral Surveyors. Guidance was provided from congressionally-required map and legal boundary descriptions detailed in the NLCS Designation Manual 6120 (March, 2010). All Arizona BLM Wilderness Area boundary legal descriptions and maps have been transmitted to Congress and certified by the Chief of Cadastral Survey and Arizona State Director. There should be no changes to Wilderness Boundary GIS data. Boundary changes can only be made through an amendment to the legal description and this would need to be sent back to Congress.
A feature class describing the spatial location of the administrative boundary of the lands managed by the Forest Supervisor's office. An area encompassing all the National Forest System lands administered by an administrative unit. The area encompasses private lands, other governmental agency lands, and may contain National Forest System lands within the proclaimed boundaries of another administrative unit. All National Forest System lands fall within one and only one Administrative Forest Area. This dataset is derived from the USFS Southwestern Region ALP (Automated Lands Program) data Project. This is one of six layers derived from ALP for the purpose of supplying data layers for recourse GIS analysis and data needs within the Forest Service. The six layers are Surface Ownership, Administrative Forest Boundary, District Boundary, Townships, Sections, and Wilderness. There were some gapes in the ALP data so a small portion of this dataset comes from CCF (Cartographic Feature Files) datasets and the USFS Southwestern Region Core Data Project. ALP data is developed from data sources of differing accuracy, scales, and reliability. Where available it is developed from GCDB (Geographic Coordinate Data Base) data. GCDB data is maintained by the Bureau of Land Management in their State Offices. GCDB data is mostly corner data. Not all corners and not all boundaries are available in GCDB so ALP also utilizes many other data sources like CFF data to derive its boundaries. GCDB data is in a constant state of change because land corners are always getting resurveyed. The GCDB data used in this dataset represents a snapshot in time at the time the GCDB dataset was published by the BLM and may not reflect the most current GCDB dataset available. The Forest Service makes no expressed or implied warranty with respect to the character, function, or capabilities of these data. These data are intended to be used for planning and analyses purposes only and are not legally binding with regards to title or location of National Forest System lands.
Parcels and Land Ownership dataset current as of 2008. Generalized Land Ownership information..
This data set consists of all oil and gas parcels on State Trust land.
This dataset is part of the Cadastral National Spatial Data Infrastructure (CadNSDI) publication dataset for rectangular and non‐rectangular Public Land Survey System (PLSS) data. This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non-rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-‐ Attribute section of this metadata describes these components in greater detail. The CadNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business need that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally.
Land cover classification for the CAP LTER study region using Landsat Thematic Mapper (TM) data - year 1985
The City of Phoenix (COP) zoning boundaries were digitized from a hard copy data set, by contract, in 1991. Since that time, updates to the data have been made on an ongoing basis as land is rezoned. The layer is digitized at a relatively small scale, from approximately 1:10 to 1:10,000. Changes are made when inconsistencies are found.Contact Information: zoning@phoenix.gov
A fundamental dataset required for ecosystem analysis consists of the major types of land cover present in the study area and their areal percentages. Land cover refers to the physical nature of the surficial materials present in a given area such as water, grass, clay-rich soil, asphalt, or concrete. Land cover classification can be used as input into a variety of ecological models, and land cover maps can be constructed to aid in planning field sampling strategy. The land cover types can also be linked to different land use categories to investigate temporal and spatial changes in the urban ecosystem.
This is a statewide coverage of native American reservation lands within Arizona as of 2000.
Vector polygon map data of property parcels from the State of Arizona containing 1,422,231 features.
Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.
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.
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.