Bare-earth 5-foot DEM as 32-bit floating point raster format in ArcGIS GRID Raster format in compliance with USGS LIDAR Base Specifications: georeferencing information, delivered without overlap and with no edge artifacts or mismatched, “NODATA” value for void areas, bridges removed from the surface, etc. Download 5ft DEM / Download DEM Metadata

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 2020 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.

A point feature class of all park facilities (County, Municipal, State or National) within Miami-Dade County. This layer was created merging the County Parks, Municipal Parks, State and Federal parks feature classes. Data was updated by PROS, Natalia Neira on 09/03/2020 The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

Geospatial data about Miami-Dade County, Florida County Park Boundary. Export to CAD, GIS, PDF, CSV and access via API.

A polygon feature class that represents property ownership boundaries as defined by legal description and deeds within Miami-Dade County from November of 2011.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

Geospatial data about Miami-Dade County, Florida Subdivisions. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Miami-Dade County, Florida Environmentally Endangered Lands (EEL). Export to CAD, GIS, PDF, CSV and access via API.

This FeatureClass is one of a set of FeatureClasses derived from our main FeatureClass (STREETS), which were created to display information related to our County's streets. This set of derivative products includes the following FeatureClasses: An Arc FeatureClass of Miami-Dade County streets with seamless address ranges. An Arc FeatureClass of Miami-Dade County streets with actual address ranges. An Arc FeatureClass of Miami-Dade County streets in a Coverage Structure. A Polygon FeatureClass of Miami-Dade County streets created from the street base layer using a process called 'buffer'. It was designed for cartographic display purposes and does not have attributes.Updated: Weekly-Sat

Geospatial data about Miami-Dade County, Florida Storm Drains. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Miami-Dade County, Florida Natural Forest Communities (NFC). Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Miami-Dade County, Florida Railroads. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Miami-Dade County, Florida Highways. Export to CAD, GIS, PDF, CSV and access via API.

A polygon feature class of the county flood criteria boundaries within Miami-Dade County. The purpose of the Miami-Dade County Flood Criteria Map is to determine the minimum ground surface elevation of developed properties, crown/grade of roads, and secondary canal banks based on a 10-year, 24-hour storm event, 2060 scenario with SLR, and the minimum top elevation of seawalls, unless higher elevations are required by other regulatory applicable standards.Available for review and comment October 22, 2021 through December 22, 2021.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The following data set contains service request activity for Miami-Dade County. The data sets include services completed proactively by Miami-Dade County departments and requests submitted by citizens via phone (311), online (miamidade.gov), and other self service channels such as the 311Direct mobile application. With a few exceptions, the dataset does not generally include requests from other cities (City of Miami, Coral Gables, etc.) unless the work is owned by Miami-Dade County staff. THIS DATA SET IS STILL IN BETA. Please keep that in mind as you review it.

Geospatial data about Miami-Dade County, Florida School Site. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Miami-Dade County, Florida Bus Routes. Export to CAD, GIS, PDF, CSV and access via API.

A point feature class of Miami-Dade County Building permits within the last three years.Updated: Weekly-Fri The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

Urban growth models have increasingly been used by planners and policy makers to visualize, organize, understand, and predict urban growth. However, these models reveal a wide disparity in their attention to policy factors. Some urban growth models capture few if any specific policy effects (e.g.,as model variables), while others integrate certain policies but not others. Since zoning policies are the most widely used form of land use control in the United States, their conspicuous absence from so many urban growth models is surprising. This research investigated the impacts of zoning on urban growth by calibrating and simulating a cellular automaton urban growth model, SLEUTH, under two conditions in a South Florida location. The first condition integrated restrictive agricultural zoning into SLEUTH, while the other ignored zoning data. Goodness of fit metrics indicate that including the agricultural zoning data improved model performance. The results further suggest that agricultural zoning has been somewhat successful in retarding urban growth in South Florida. Ignoring zoning information is detrimental to SLEUTH performance in particular, and urban growth modeling in general.

Source: Layers within the feature service have been generated from publicly available data sources including: Florida Dept. of Revenue (parcel data), OpenStreetMap (walking/biking networks), Census data (ACS, LODES jobs, household/population, and commuting statistics), Miami-Dade County (parks, bike facilities, urban development boundary, etc.), Miami-Dade Department of Transportation and Public Works (public transit ridership), the Southeast Florida Regional Planning Model (SERPM), and the National Land Cover Dataset (NLCD). The development of summarized indicators for reporting and visualizing data for analysis of Transit Oriented Communities in SMART Plan station areas and corridors is described in the TOC Tool Technical Guide.

Purpose: These layers are utilized for visualization of data summaries for the most recent time period addressed by the tool (2019). They are used in all Snapshot Dashboards to highlight different aspects of Transit Oriented Communities.

Contact Information: Charles Rudder (crudder@citiesthatwork.com)/ Alex Bell (abell@citiesthatwork.com)

A point feature class that identifies the traffic signals within Miami-Dade County.Updated: Weekly-Fri The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere