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.
EXERCISE ONLYThis web map serves as the Public Information Map for Flood Hazards in Pima County, Arizona. It is compiled of three main layers:Enriched Special Flood Hazard Area layer from FEMA (http://landscape1.arcgis.com/arcgis/rest/services/USA_Flood_Risk/MapServer)Current Weather Conditions feed from ESRI (https://livefeeds.arcgis.com/arcgis/rest/services/LiveFeeds/NOAA_METAR_current_wind_speed_direction/MapServer)World Traffic from ESRI (https://traffic.arcgis.com/arcgis/rest/services/World/Traffic/MapServer)These layers allow for the public to have an understanding of both the flooding hazards, but also the traffic conditions associated with severe weather and flash flooding.
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 State Plane 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 1:12,000.
This dataset contains Arizona county boundaries for use in joining EPHT Data Explorer data to county-level geography using the "GeogID" column.Update Frequency: N/A
This dataset maps out the boundaries for municipal jurisdictions in Pima County, Arizona. Jurisdictions include:City of TucsonTown of MaranaTown of Oro ValleyTown of SahuaritaCity of South TucsonPima CountyClick here to visit Pima County's Open Data site.PurposeThis layer was developed locate the municipal boundaries of jurisdictions in Pima County, Arizona.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is not in any known applications.Get Started with this Data• What is the largest incorporated jurisdiction by area?• Which incorporated jurisdiction has the longest boundary?• Which jurisdiction do I live in?Known Errors NoneContactPima CountyUpdate FrequencyAs Needed
Geospatial data about Pinal County, Arizona Roads. Export to CAD, GIS, PDF, CSV and access via API.
Displays Maricopa County boundary and jurisdictions
This layer is being made accessible on this platform as part of a larger collaborative project under development by Arizona Water Company, University of Arizona Water Resources Research Center, Babbitt Center for Land and Water Policy, and Center for Geospatial Solutions. This visualization for Pinal County expresses 2022 Assured and Adequate Water data and was altered to display this information with the boundaries of Pinal County, Arizona.The main sources of data present in this map were taken from the following locations:Arizona Department of Water Resources (2022)https://gisdata2016-11-18t150447874z-azwater.opendata.arcgis.com/datasets/aaws-issued-determination/explore?location=34.152689%2C-112.003340%2C7.24University of Arizona (2008)https://repository.arizona.edu/handle/10150/188734
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.
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 1:12,000.
A paper copy of the Geologic Map of the Catalina Core Complex and San Pedro Trough (Dickinson, 1992) was scanned and digitized by U.S. Geological Survey staff and contractors at the Southwest Field Office (Tucson, AZ) in 2000-2001 for input into an ArcInfo geographic information system (GIS). The resulting geologic map database (in ArcInfo format) can be queried in many ways to produce a variety of geologic maps. Digital base map data files. (topography, roadways, towns, and hydrography) are not included: they may be obtained from a variety of commercial and government sources. Geologic map graphics and plot files that are provided in the Open-File Report are representations of the digital database and are not designed to be cartographic products.
Transportation projects. Use by Magnitude transportation performance viewer.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The partial data set includes a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
The 1995 Land Use coverage was created as a joint effort of MAG (Maricopa Association of Governments) and MAG member agency staff. Land Use components were classified into 24 categories. The 1995 Land Use coverage is used for a variety of planning purposes including socioeconomic forecasting and air quality modeling.
topohpgn contains 2 foot contours derived from the 1998 PAG Regional Orthophoto project. It includes only those urbanized areas where DTM's are available. See more information.The Pima Association of Governments (PAG) and a number of local government jurisdictions participate in the Regional Orthophoto Project which started with this 1998 project and continues with updates every few years.The orthophoto projects for the various years are all different. Differences include methods, coverage areas, elevation modeling, resolution, and spectra (black and white or color).The 1998 project includes:1 foot resolution panchromatic (black and white) imagery of 581 (578??) sections of selected areas in eastern Pima County.1 meter resolution multispectral (color) imagery of 546 sections of selected areas in eastern Pima County.DEM elevation data for 240 sections of the project area.DTM elevation data for 369 sections of the project area.Contours for 341 sections of the project area.This layer is maintained by Pima County. Click here to visit Pima County's Open Data site. Click here to visit Pima County's GIS Library metadata. PurposeThis layer was developed to PAG's 1998 topography in Pima County, Arizona.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is not in any known applications.Known Errors No known errorsContactPima County - GISdata@pima.govUpdate FrequencyAs Needed
REQUIRED: A brief narrative summary of the data set.
Plan submitted by: Indigo on 09/25/2021 USER DESCRIPTION: Boundaries contiguous, communities of interest, and population USER PLAN OBJECTIVE: These boundaries highlight the natural geo physical,(rivers and mountain ranges) contiguous areas, as well as communities of interest in Northern Pima County, Arizona
A spatial database was created for the Drewes (1980) tectonic map of southeast Arizona: this database supercedes Drewes and others (2001, ver. 1.0). The west tectonic map (Drewes, 1980) was converted to digital format by Optronics Specialty Co., Inc. and published in 2001. Staff and a contractor at the U.S. Geological Survey in Tucson, Arizona developed a digital geologic map database for the east map in 2001, made revisions to the previously released digital data for the west map (Drewes and others, 2001, ver. 1.0), merged data files for the east and west sheets, and added additional data not previously captured.
Geospatial data about Pinal County, Arizona Subdivisions. Export to CAD, GIS, PDF, CSV and access via API.
Census tract boundaries and labels for Maricopa and Pinal County. Used by the two county demographic viewer.
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.