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

Zoning Overlays and Regulatory Plans

Contact Information: zoning@phoenix.gov

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.

City of Phoenix approved zoning locations.

Proposed Zoning data is intended to better inform residents of current rezoning activities in their community. Rezoning cases are typically requested from property owners to allow for a new use or to apply a different set of development standards (i.e. setbacks, building heights, and densities) that are not already permitted in the existing zoning district designated for their property.

Zoning regulations are intended to protect existing land uses and assure that uses are compatible with each other and with available public facilities and services. Through the rezoning process, land use and other factors are evaluated to determine the appropriateness of a specific rezoning proposal. Final approval of a rezoning request is granted by the Phoenix City Council at a public hearing.

Contact Information: zoning@phoenix.gov

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.

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.

The simplified classification of Maricopa Association of Governments (MAG) land use map is created by combining the original land use categories into 5 major classes - urban, agriculture, recreation, desert, and other. This has been done for land use/land cover monitoring purposes and to compare the 2000 land use map with historic land use layers including the 1995 MAG land use map.

City of Phoenix sewer features. Sewer Cleanouts, Manholes, Wiers, Valves

Information regarding the sewer system in Phoenix Metropolitan area: Elevation, year bulit, and station ID.

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.

The supporting code table to be used with the General Plan data.Data Last Updated: 6-22-2023Contact Information: zoning@phoenix.gov

Land cover classification for the CAP LTER study region using Landsat Thematic Mapper (TM) data - year 1985

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 a time series of maps that encompasses the development of the entire 20th century. Landuse categories include Urban, Agriculture, Desert, and Recreation. The development of these maps is to describe the nature of the change of each category between years. Based upon available data, the years used for this dataset are 1912, 1934, 1955, 1975, and 1995. Data sources used include U.S. Soil Conservation Service air photos, USGS topographic maps, Glendale Historical Society, Salt River Project historical agricultural data, and Arizona Department of Water Resoures historical agricutlural data.

This dataset is part of a time series of maps that encompasses the development of the entire 20th century. Landuse categories include Urban, Agriculture, Desert, and Recreation. The development of these maps is to describe the nature of the change of each category between years. Based upon available data, the years used for this dataset are 1912, 1934, 1955, 1975, and 1995. Data sources used include U.S. Soil Conservation Service air photos, USGS topographic maps, Glendale Historical Society, Salt River Project historical agricultural data, and Arizona Department of Water Resources historical agricultural data.

SAVI (Soil Adjusted Vegetation Index) map produced for the Central Arizona-Phoenix area from a 1993 Enhanced Landsat Thematic Mapper image.

Historic Land use change in the central Arizona-Phoenix area for the period 1912 to 1995. Map showing the progression of regional changes from 1912 to 1995

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.