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.
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The Existing Land Use (EXLU) dataset represents land use in Maricopa and Pinal Counties, Arizona. This dataset was created as a joint effort of MAG and MAG member agency staff. This dataset serves as a land use inventory and is used for a variety of planning purposes including socioeconomic forecasting and air quality modeling. Because of the level of generalization involved in creating this dataset, land use boundaries may not be accurate representations of ground conditions if used at small scales. These data were developed primarily from assessor parcel data collected in July 2022 for both Maricopa and Pinal Counties.
This map depicts existing and future land use conditions for Maricopa County, Arizona. The Existing Land Use data are derived from Maricopa County Assessor parcels, public land data from Arizona State Land Department, and numerous other sources.
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.
Contains 2010 MAG EXLU and FLU summarized by land use type, for places and Maricopa County. Used by the 2010 land use viewer.
This is the digitized version of a map of the Hohokam canal system in what is now the Phoenix metropolitan area. It is based on the thesis research by J. B. Howard (Howard, J. (1990). Paleohydraulics : techniques for modeling the operation and growth of prehistoric canal systems. Thesis (M.A.)--Arizona State University, 1990). The original paper map is based on previous archaeological data, overlayed onto USGS 7.5 minute quadrangle maps to recreate the canal pattern.
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.
Base zoning classifications. Does not include overlay zoning. Incorporated PAD Zoning in undeveloped PAD areas. Zones extend to the center of roads in most cases or parcel boundaries.
Water surface elevations of the base flood as approved by the Federal mergency management Agency (FEMA) for the Flood Insurance Rate Maps (FIRM). The base flood elevation, in feet, is in relation to the National Geodetic Vertical Datum of 1929. Profile baselines are for the Flood Insurance Rate Maps (FIRM). The cross section data are used for the production of Flood Insurance Rate Maps. The Flood Insurance Rate Maps (FIRMs) show different floodplains with different zone designations. These are primarily for insurance rating purposes, but the zone differentiation can be very helpful for other floodplain management purposes. The differentiated floodplain zones are used for the production of Flood Insurance Rate Maps. Maricopa County has been subdivided into FIRM panels for the publication and distribution of FIRMs. Profile baselines are for the Flood Insurance Rate Maps (FIRM).
An Interactive map of the Foreign-Trade Zone 75 located in Maricopa, Pinal, and Yavapi county in Arizona. The map includes placeholders of areas where current FTZ members are located and industry thet belong to. The map also shows the excluded area near Phoenix-Mesa Gateway Airport.
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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.