A polygon feature class of the City of Miami Commissioner District boundaries. The purpose of the district layer is to divide voters by City of Miami Commissioner Districts. It is used in general analysis, as well as for mapping purposes.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class of the Community Development District (CDD) boundaries maintained by the Miami-Dade County Special Taxing District office. CDD's are special taxing districts or local units of special-purpose government. A CDD may charge separate non-ad valorem special assessments for satisfying the debt obligations of the district relating to financing, constructing, maintaining and servicing the district's improvements and/or services.Updated: Weekly-Fri The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class representing the Miami-Dade County Commission District boundaries.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2010 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

This release of data includes the chloride concentration of water samples provided by the USGS or other organizations that were used for this mapping effort. The inland extent of saltwater at the base of the Biscayne aquifer in the Model Land area of Miami-Dade County, Florida, was mapped in 2011. Since that time, the saltwater interface has continued to move inland. The interface is near several active well fields; therefore, an updated approximation of the inland extent of saltwater and an improved understanding of the rate of movement of the saltwater interface are necessary. A geographic information system was used to create a map using the data collected by the organizations that monitor water salinity in this area. A rate of saltwater interface movement of 140 meters per year was estimated by dividing the distance between two monitoring wells (TPGW-7L and Sec34-MW-02-FS) by the travel time. The travel time was determined by estimating the dates of arrival of the saltwater interface at the wells and computing the difference. This estimate assumes that the interface is traveling east to west between the two monitoring wells. Although monitoring is spatially limited in this area and some of the wells are not ideally designed for salinity monitoring, the monitoring network in this area is improving in quality and spatial distribution. The approximation of the inland extent of the saltwater interface and the estimated rate of movement of the interface are dependent on existing data. Improved estimations could be obtained by installing uniformly-designed monitoring wells in systematic transects extending landward of the advancing saltwater interface.

Data pertaining to mapping the approximate inland extent of saltwater at the base of the Biscayne Aquifer in the Model Land Area of Miami-Dade County, Florida in 2016. The inland extent of saltwater at the base of the Biscayne aquifer in the Model Land area of Miami-Dade County, Florida, was last mapped in 2011. Since that time, the saltwater interface has continued to move inland. The interface is near several active well fields; therefore, an updated approximation of the inland extent of saltwater and an improved understanding of the rate of movement of the saltwater interface are necessary. A geographic information system was used to create a map using the data collected by the organizations that monitor water salinity in this area. A rate of saltwater interface movement of 140 meters per year was estimated by dividing the distance between two monitoring wells (TPGW-7L and Sec34-MW-02-FS) by the travel time. The travel time was determined by estimating the dates of arrival of the saltwater interface at the wells and computing the difference. This estimate assumes that the interface is traveling east to west between the two monitoring wells. Although monitoring is spatially limited in this area and some of the wells are not ideally designed for salinity monitoring, the monitoring network in this area is improving in quality and spatial distribution. The approximation of the inland extent of the saltwater interface and the estimated rate of movement of the interface are dependent on existing data. Improved estimations could be obtained by installing uniformly-designed monitoring wells in systematic transects extending landward of the advancing saltwater interface. This release of data includes the chloride concentration and specific conductance of water samples, and the water conductance profiles provided by other organizations that were used for this mapping effort and to determine the rate of movement of the saltwater interface. Also included are GIS files of the 1,000 mg/L islochlor and well information

A table of the Commission District ID's and the Commissioner Names. Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class of the City of North Miami Council District boundaries. The purpose of the district layer is to divide voters by City of North Miami Council Districts. It is used in general analysis, as well as for mapping purposes.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

This dataset (2020-2023) is a compilation of the Land Use/Land Cover datasets created by the 5 Water Management Districts in Florida based on imagery -- Northwest Florida Water Management District (NWFWMD) 2022.Bay (1/4/2022 – 3/24/2022), Calhoun (1/7/2022 – 1/18/2022), Escambia (11/13/2021 – 1/15/2021), Franklin (1/7/2022 – 1/18/2022), Gadsden (1/7/2022 – 1/16/2022), Gulf (1/7/2022 – 1/14/2022), Holmes (1/8/2022 – 1/18/2022), Jackson (1/7/2022 – 1/14/2022), Jefferson (1/7/2022 – 2/16/2022), Leon (February 2022), Liberty (1/7/2022 – 1/16/2022), Okaloosa (10/31/2021 – 2/13/2022), Santa Rosa (10/26/2021-1/17/2022), Wakulla (1/7/2022 – 1/14/2022), Walton (1/7/2022-1/14/2022), Washington (1/13/2022 – 1/19/2022).Suwannee River Water Management District (SRWMD) 2022-2023.(Alachua (12/27/2022-12/28/2022, Baker (1/6/2023-1/15/2023), Bradford (11/9/2021-11/16/2021), Columbia (12/17/2021-1/29/2022), Gilchrist (12/17/2021-1/29/2022), Levy (12/17/2021-1/29/2022), Suwannee (12/17/2021-1/29/2022), Union (11/9/2021-11/9/2021).(Dixie 12/17/2021-01/29/2022), (Hamilton 12/17/2021-01/29/2022), (Jefferson 01/07/2022-02/16/2022), (Lafayette 12/17/2021-01/29/2022), (Madison 12/17/2021-01/29/2022), (Taylor 12/17/2021-01/29/2022).Southwest Florida Water Management District (SWFWMD) 2023. South Florida Water Management District (SFWMD) 2021-2023.St. John's River Water Management District (SJRWMD) 2020.Year Flight Season Counties:2020 (Dec. 2019 - Mar 2020) Alachua, Baker, Clay, Flagler, Lake, Marion, Osceola, Polk, Putnam.2021 (Dec. 2020 - Mar 2021) Brevard, Indian River, Nassau, Okeechobee, Orange, St. Johns, Seminole, Volusia. 2022 (Dec. 2021 - Mar 2022) Bradford, Union. Codes are derived from the Florida Land Use, Cover, and Forms Classification System (FLUCCS-DOT 1999) but may have been altered to accommodate region differences by each of the Water Management Districts.

The map shows the 8-class vegetation cover developed from Landsat TM data used for the SICS area.

The map shows the 8-class vegetation cover developed from Landsat TM data used for the SICS area.

This map was created specifically for surface-water flow velocity indexing within hydrodynamic models created by the U.S. Geological Survey. Vegetation classes in this map represent mixes of vegetation types that share structural characteristics and ranges of flow resistance as determined through field, laboratory, and hydrodynamic model experiments. Some of these vegetation types are more typically segregated into separate classes. Therefore, the user is cautioned not to treat this map as a standard vegetation classification. This map's characteristics and your requirements should be carefully considered before adopting this map for your particular use. Surface water flow velocity in the wetlands of Taylor Slough, Everglades National Park, is controlled by factors such as water depth, land-surface gradient, wind effects, and the type and density of vegetation. To evaluate the effect of vegetation on this shallow surface-water flow for model development, it is necessary to extrapolate from point measurements of velocity and surface-water slope made concurrently with characterization of vegetation at locations throughout the slough to the entire model area. This map was created solely for the purpose of extrapolating field and laboratory measured vegetation resistances to flow to the area of Taylor Slough/The Everglades National Park being modeled in the Southern Inland Coastal System (SICS) model domain.

The SICS study area is located in the southeast quadrant of Everglades National Park (ENP). It encompasses the interface of the wetlands of the Taylor Slough and southern C-111 canal drainage basins with nearshore tidal embayments of Florida Bay. The study area is bounded on the east by U.S. Highway 1, and C-111 canal and levee; on the north and west by ENP Road (SR27) and Old Ingraham Highway; and on the south by Florida Bay.

A polygon feature class representing the Miami-Dade County Police Districts' Patrol areas.Updated: Bi-Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class representing the 2001 Commission District boundareis within Miami-Dade County. Boundaries are changed whenever the commission district boundaries changes via the Redistricting Application.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A line feature class of Miami-Dade County's Urban Development Boundary(UDB) boundaries. The boundary was adopted by the Board of County Commissioners (BCC) as per recommendation. This boundary identifies the area where urban development may occur through the year 2030. Development orders permitting urban development will generally be approved within the UDB at some time through the year 2030 provided that level-of-service standards for necessary public facilities will be met. Adequate countywide capacity will be maintained within the UDB by increasing development densities or intensities inside the UDB or by expanding the UDB when the need for such change is determined to be necessary through the amendment process.Revisions: Date: November 2021 By: Juan C. Pelaez Reason: The Urban Development Boundary (UDB) is updated as a result of Comprehensive Development Master Plan (CDMP) amendment approvals, and is subject to Interpretation by the Director of the Regulatory and Economic Resources (RER) Department where there are questions pertaining to its alignment.Last updated November 2021. Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class of the United State House of Representatives (Congressional District) boundaries within Miami-Dade County.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class of the State House Districts within Miami-Dade County.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A point feature class of the Miami-Dade County Commissioner District Office locations. Only satellite district offices were included, main offices at the Stephen P. Clark Center were not included.Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

THIS PLAN IS NOT A ZONING MAP. Within each map category on this plan map, numerous land uses, zoning districts and housing types may occur. This plan map may be interpreted only as provided in the adopted plan text entitled: Interpretation of The Land Use Plan Map: Adopted Policy Of The Land Use Element. That adopted text provides necessary definitions and standards for allowable land uses, densities, or intensities of use for each map category, and for interpretation and application of the plan as a whole. The adopted text must be consulted in its entirety in interpreting any one plan map category, and no provision shall be used in isolation from the remainder. Restrictions accepted by the Board of County Commissioners in association with Land Use Plan map amendments shall be considered as an adopted part of the Comprehensive Development Master Plan (CDMP) and are delineated in the adopted text.This Land Use Plan (LUP) map, in conjunction with all other adopted components of the CDMP, will govern all development-related actions taken or authorized by Miami-Dade County. The LUP map generally reflects municipal land use policies adopted in comprehensive plans. However, with limited exceptions enumerated in the Statement of Legislative Intent, this plan does not supersede local land use authority of incorporated municipal governments authorized in accordance with the Miami-Dade County Charter. For further guidance on future land uses authorized within incorporated municipalities, consult the local comprehensive plan adopted by the pertinent municipality.Updated: Weekly The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class of the City of Miami Gardens Council District boundaries. The purpose of the district layer is to divide voters by City of Miami Gardens Council Districts. It is used in general analysis, as well as for mapping purposes.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

A polygon feature class representing the Miami-Dade County Police Districts clipped to Urban Areas.Updated: As Needed The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere