65 datasets found
  1. a

    Miami 21 Zoning

    • datahub-miamigis.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 19, 2019
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    CityMiamiFL (2019). Miami 21 Zoning [Dataset]. https://datahub-miamigis.opendata.arcgis.com/datasets/m21-zoning/data
    Explore at:
    Dataset updated
    Feb 19, 2019
    Dataset authored and provided by
    CityMiamiFL
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Miami,
    Description

    The purpose of this layer is to provide users with a spatial representation of the Transect Zones, in the Miami 21 (form-based) zoning code, and their consolidated amendments in the City of Miami. Transects are areas of varying Density whose character is determined by the requirements for Use, Height, Setback and Building Form. This dataset is comprised of boundary geometry representing transect zones of the Miami 21 Zoning code currently in force and effect. Updates are performed regularly by the Planning Department.

  2. a

    Qualified Opportunity Zones

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 7, 2018
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    Miami-Dade County, Florida (2018). Qualified Opportunity Zones [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/MDC::qualified-opportunity-zones/about
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    Dataset updated
    Dec 7, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class with all population census tracts designated as Qualified Opportunity Zones (QOZs) as well as all population census tracts originally eligible for designation as a QOZ for purposes of 1400Z1 and 1400Z2 of the Internal Revenue Code (the Code). To identify areas designated as Qualified Opportunity Zones (QOZs). An Opportunity Zone is an economically-distressed community where new investments, under certain conditions, may be eligible for preferential tax treatment.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  3. a

    Rapid Transit Zone Feature Layer

    • gis-mdc.opendata.arcgis.com
    Updated Jun 7, 2019
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    Miami-Dade County, Florida (2019). Rapid Transit Zone Feature Layer [Dataset]. https://gis-mdc.opendata.arcgis.com/maps/rapid-transit-zone-feature-layer
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    Dataset updated
    Jun 7, 2019
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Rapid Transit Zone. The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  4. d

    Well information and chloride concentration of water samples used to map the...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Well information and chloride concentration of water samples used to map the saltwater interface in the Model Land area of Miami-Dade County, Florida. [Dataset]. https://catalog.data.gov/dataset/well-information-and-chloride-concentration-of-water-samples-used-to-map-the-saltwater-int
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Florida, Miami-Dade County
    Description

    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.

  5. d

    Shapefile of Approximate Inland Extent of Saltwater at the Base of the...

    • catalog.data.gov
    • data.usgs.gov
    • +5more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Shapefile of Approximate Inland Extent of Saltwater at the Base of the Biscayne Aquifer in the Model Land Area of Miami-Dade County, Florida, 2016, Miami-Dade County, FL [Dataset]. https://catalog.data.gov/dataset/shapefile-of-approximate-inland-extent-of-saltwater-at-the-base-of-the-biscayne-aquifer-in
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Florida, Miami-Dade County
    Description

    This is a shapefile of approximate inland extent of saltwater at the base of the Biscayne Aquifer in the Model Land area of Miami-Dade County, Florida representing data collected 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 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.

  6. K

    Miami-Dade County, Florida Trees

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Dec 24, 2013
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    Miami-Dade County, Florida (2013). Miami-Dade County, Florida Trees [Dataset]. https://koordinates.com/layer/96279-miami-dade-county-florida-trees/
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    pdf, csv, mapinfo mif, kml, shapefile, mapinfo tab, geodatabase, dwg, geopackage / sqliteAvailable download formats
    Dataset updated
    Dec 24, 2013
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    A point feature class of the RER/DERM (Regulation and Economic Resources, Division of Environmental Resource Management permitted and tracking facilities within the Miami-Dade County area.

    © RER/DERM staff.

  7. U

    GIS shapefile: Broward and Miami-Dade Counties, Florida irrigated...

    • data.usgs.gov
    • catalog.data.gov
    Updated Jan 3, 2025
    + more versions
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    Richard Marella; Joann Dixon; Kyle Christesson (2017). GIS shapefile: Broward and Miami-Dade Counties, Florida irrigated agricultural land-use from January 2019 through February 2021 [Dataset]. http://doi.org/10.5066/P9GGUWNQ
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    Dataset updated
    Jan 3, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Richard Marella; Joann Dixon; Kyle Christesson
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jan 7, 2019 - Feb 28, 2021
    Area covered
    Broward County, Florida, Miami-Dade County
    Description

    This data set consists of a digital map of the extent of fields and a summary of the irrigated acreage for the period between January 2019 and February 2021 compiled for Broward and Miami-Dade Counties, Florida. Attributes for each field include a general or specific crop type, irrigation system, and primary water source for irrigation.

  8. K

    Miami-Dade County, Florida Property Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 7, 2018
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    Miami-Dade County, Florida (2018). Miami-Dade County, Florida Property Boundaries [Dataset]. https://koordinates.com/layer/96274-miami-dade-county-florida-property-boundaries/
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    mapinfo mif, kml, geopackage / sqlite, mapinfo tab, shapefile, pdf, csv, geodatabase, dwgAvailable download formats
    Dataset updated
    Sep 7, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

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

  9. a

    On Premise Web Map

    • mdc.hub.arcgis.com
    Updated Jul 11, 2017
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    Miami-Dade County, Florida (2017). On Premise Web Map [Dataset]. https://mdc.hub.arcgis.com/maps/045105d098f74d6aa997a7c35c7d52a5
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    Dataset updated
    Jul 11, 2017
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    On Premise - hybrid mobile/web-based application developed using Web AppBuilder with custom widgets. The application can be downloaded from the Apple or Google mobile stores.For questions, please contact Miami-Dade County GIS.

  10. 2018 Miami-Dade ITD Lidar DEM: Miami-Dade County, FL

    • fisheries.noaa.gov
    geotiff
    Updated Oct 4, 2019
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    OCM Partners (2019). 2018 Miami-Dade ITD Lidar DEM: Miami-Dade County, FL [Dataset]. https://www.fisheries.noaa.gov/inport/item/64424
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    geotiffAvailable download formats
    Dataset updated
    Oct 4, 2019
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Apr 25, 2018 - Dec 5, 2018
    Area covered
    Description

    The project limits cover 615 square miles of Miami-Dade County. The project was divided into two phases: Collection and classification of LiDAR data and creation of 5-foot cell spaced hydro enforced mosaic DEM of the project area.

    The lidar point, DEM, and breakline data were provided to the Office for Coastal Management (OCM) by the Miami-Dade County Information Technology Department (OTD) f...

  11. a

    County Zoning

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Aug 7, 2018
    + more versions
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    Miami-Dade County, Florida (2018). County Zoning [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/county-zoning-1
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    Dataset updated
    Aug 7, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A polygon feature class of the county zoning boundaries and overlays derived from the zoning maps and other layers from the parcel model. This dataset should┬аnot be used for applications requiring accurate plat survey information such as zone and overlay dimension and area.Updated: Weekly-Sat The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  12. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    Updated Jun 13, 2017
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    U.S. Geological Survey - ScienceBase (2017). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/df11047147c04ae49ad1907a10ac0299/html
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    Dataset updated
    Jun 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  13. d

    Aerial photo mosaic of the Nehalem River, Oregon in 1939

    • catalog.data.gov
    Updated Oct 5, 2024
    + more versions
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    U.S. Geological Survey (2024). Aerial photo mosaic of the Nehalem River, Oregon in 1939 [Dataset]. https://catalog.data.gov/dataset/aerial-photo-mosaic-of-the-nehalem-river-oregon-in-1939
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    Dataset updated
    Oct 5, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Oregon, Nehalem River
    Description

    The Tillamook Bay subbasins and Nehalem River basins encompass 1,369 and 2,207 respective square kilometers of northwestern Oregon and drain to the Pacific Ocean. The Tillamook, Trask, Wilson, Kilchis, and Miami Rivers flow into Tillamook Bay near the towns of Tillamook and Garibaldi. The Wilson and Trask River basins cover the largest areas (500 and 451 square kilometers, respectively) whereas the Tillamook and Kilchis Rivers encompass similar sized areas (156 and 169 square kilometers, respectively) and the Miami River the smallest area (94 square kilometers). In cooperation with the U.S. Army Corps of Engineers, the U.S. Geological Survey completed a reconnaissance-level assessment of channel condition and bed-material transport relevant to the permitting of in-stream gravel extraction along the major alluvial portions of six river systems, including the lowermost 14.1 km of the Tillamook River, 16.3 km of the Trask River, 15.2 km of the Wilson River, 7.8 km of the Kilchis River, 11.6 km of the Miami River, and 31.4 km of the Nehalem River. To support these analyses, digital channel maps were produced to depict channel and floodplain conditions in the Tillamook Bay sub-basins and Nehalem River basin from different time periods. GIS layers defining the wetted channel and bar features and channel centerline in the study area were developed for four time periods: 1939, 1967, 2005, and 2009. For this project, the active channel was defined as area typically inundated during annual high flows, and includes the low-flow channel as well as side channels, islands, and channel-flanking gravel bars. The wetted channel and bar feature datasets were developed by digitizing from aerial photographs. Aerial photographs from 1939 and 1967 were scanned, rectified, and mosaicked for this project (See metadata for each photograph set for more information on the rectification process and resolution of each dataset). Digital orthophotographs from 2005 and 2009 are publicly available.

  14. a

    Urban Infill Area 1998

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 6, 2018
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    Miami-Dade County, Florida (2018). Urban Infill Area 1998 [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/urban-infill-area-1998
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    Dataset updated
    Jun 6, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A line feature class of the Urban Infill Area lines conforming the boundaries of the Urban Infill Area polygons within Miami-Dade County. Created by the Planning and Zoning Department (1998).Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  15. d

    Selected water conductivity profiles, used to evaluate rate of movement of...

    • datadiscoverystudio.org
    • data.usgs.gov
    • +5more
    Updated May 20, 2018
    + more versions
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    (2018). Selected water conductivity profiles, used to evaluate rate of movement of the saltwater interface in the Model Land area of southeast Miami-Dade County, Florida.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/832e114af24a4c14a1b835fdf8e43930/html
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    Dataset updated
    May 20, 2018
    Description

    description: The dataset consists of selected water conductivity profiles in text file format from well Sec34-MW-02-FS, which were used to evaluate the rate of movement of the saltwater interface. 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.; abstract: The dataset consists of selected water conductivity profiles in text file format from well Sec34-MW-02-FS, which were used to evaluate the rate of movement of the saltwater interface. 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.

  16. d

    Data from: Geologic Map of the Gerald Hills Area, Globe-Miami Area, Gila...

    • datadiscoverystudio.org
    Updated Jan 1, 1995
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    Skotnicki, J. S. (1995). Geologic Map of the Gerald Hills Area, Globe-Miami Area, Gila County, Arizona [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ae91f25ce4d04ecdaf3309a81f861bf7/html
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    Dataset updated
    Jan 1, 1995
    Authors
    Skotnicki, J. S.
    Area covered
    Description

    The purpose of this study is to provide detailed geologic information about part of theGerald Hills, north of Globe, to facilitate the relocation of a section of State Highway 88. Themap area includes parts of the following 1:24,000 scale USGS 7.5' topographic quadrangles:Globe, Inspiration, Salt River Peak, and Rockinstraw Mountain. Field work was done duringJuly, 1995.

  17. a

    Storm Surge Planning Zone - Web Map

    • mdc.hub.arcgis.com
    Updated Sep 5, 2017
    + more versions
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    Miami-Dade County, Florida (2017). Storm Surge Planning Zone - Web Map [Dataset]. https://mdc.hub.arcgis.com/maps/09a5cc18febc40deb731a39be67bb636
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    Dataset updated
    Sep 5, 2017
    Dataset authored and provided by
    Miami-Dade County, Florida
    Area covered
    Description

    The Miami-Dade County storm surge planning zones are drawn using Sea, Lake and Overland Surge from Hurricanes (SLOSH) model grids that incorporate local physical features such as geographic coastal area, bay and river shapes, water depths, bridges, etc. Areas in Miami-Dade along canals, rivers and further inland have been identified as being at risk for storm surge based on this data. The Miami-Dade County storm surge planning zones are drawn using Sea, Lake and Overland Surge from Hurricanes (SLOSH) model grids that incorporate local physical features such as geographic coastal area, bay and river shapes, water depths, bridges, etc.Areas in Miami-Dade along canals, rivers and further inland have been identified as being at risk for storm surge based on this data. Each zone or portions will be evacuated depending on the hurricane’s track and projected storm surge, independent of the hurricane’s category. Upon identification of a threat the EOC or County Mayor will use local media to relay pertinent information, such as evacuations and shelter openings. It is important that you monitor the news for this information

  18. n

    Data from: Vegetation Map of the SICS area

    • cmr.earthdata.nasa.gov
    html
    Updated Apr 20, 2017
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    (2017). Vegetation Map of the SICS area [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231552065-CEOS_EXTRA.html
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    htmlAvailable download formats
    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1997 - Dec 31, 1999
    Area covered
    Description

    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.

  19. a

    Miami Gardens District

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 5, 2018
    + more versions
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    Miami-Dade County, Florida (2018). Miami Gardens District [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/MDC::miami-gardens-district
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    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    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

  20. a

    Recycling Zone

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 1, 2020
    + more versions
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    Miami-Dade County, Florida (2020). Recycling Zone [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/recycling-zone
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    Dataset updated
    Jun 1, 2020
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This curbside recycling zones boundaries layer is a polygon feature class created for the Miami-Dade Department of Solid Waste Management (DSWM). It contains the boundaries of the curbside recycling zone boundaries. Its extent covers the areas included in the DSWM Service Area and the in municipalities having Interlocal Agreements with DSWM.Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

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CityMiamiFL (2019). Miami 21 Zoning [Dataset]. https://datahub-miamigis.opendata.arcgis.com/datasets/m21-zoning/data

Miami 21 Zoning

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29 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 19, 2019
Dataset authored and provided by
CityMiamiFL
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Miami,
Description

The purpose of this layer is to provide users with a spatial representation of the Transect Zones, in the Miami 21 (form-based) zoning code, and their consolidated amendments in the City of Miami. Transects are areas of varying Density whose character is determined by the requirements for Use, Height, Setback and Building Form. This dataset is comprised of boundary geometry representing transect zones of the Miami 21 Zoning code currently in force and effect. Updates are performed regularly by the Planning Department.

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