Map Tiles is a reference dataset used to identify the spatial location of DWG contour data delivered to TLCGIS by Merrick. The attributes contained in the PAGE field in Map Tiles can be used to reference the name of the the individual DWG contour files.The individual DWG contour files are bundled into 4 quadrants for Leon County: NE, NW, SE, & SW. You may download these quadrants to use in conjuction with the Map Tiles data.

A vector tile package basemap of Tallahassee and Leon County, Florida. This vector tile package is a street map (basemap) that can be downloaded and deployed locally for use in ArcGIS Pro. This package is updated monthly. Be sure to check back for updates!

The Digital Surficial Geologic-GIS Map of Upper Delaware Scenic and Recreational River, New York and Pennsylvania is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (upde_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (upde_surficial_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (upde_surficial_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (upde_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (upde_surficial_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (upde_surficial_geology_metadata_faq.pdf). Please read the upde_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Pennsylvania Geological Survey, New York State Geological Survey and U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (upde_surficial_geology_metadata.txt or upde_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:50,000 and United States National Map Accuracy Standards features are within (horizontally) 25.4 meters or 83.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

A map tile layer featuring 2015 Color Digital Elevation Model (DEM) with Hillshade Model. This DEM was produced from airborne Lidar data collected between January 18 – February 5, 2015.Shaded relief maps (also known as hillshades) are a textured representation of the terrain surface. This is accomplished by using a hypothetical light source to enhance terrain visualization, allowing the user to easily interpret the landforms. Shaded relief can be displayed either using a gray-scale ramp, or by using a color ramp based on elevation. The shaded relief surfaces published by TLCGIS are produced from bare-earth elevation data collected using Lidar. The 2015 Lidar data was collected in January and February of 2015. The fundamental accuracy for this data was tested to meet 0.33 feet for unvegetated surfaces. What is a Color Relief Map?A color 3D representation of the terrain is created by merging the images from the color symbolized elevation model and hillshade model. This function uses the altitude and azimuth properties to specify the sun's position.Relief maps are usually more visually expressive than traditional topographical maps, since they are able to depict landforms more realistically in comparison to topographical maps, which typically rely on contour lines and spot heights to depict elevation. Using only contour lines to represent the earth’s surface can be hard to interpret, especially to those unfamiliar with cartography. Complex terrain can make interpretation harder still. Relief maps are easy to understand and interpret visually, proving very useful for accurately communicating a true representation of the landscape. Relief maps also require less technical knowledge to be understood.Shaded relief maps or hillshading, illustrate the real, three-dimensional landforms as accurately as possible, in a map’s two-dimensions. This is achieved by illuminating the earth’s surface with a hypothetical light source; most often from the upper-left corner. The light source casts shadows across the surface geography, resulting in a map that mirrors the landscape as if naturally observed from a considerable height, with peaks and aspects facing the light being brightly “illuminated,” and valleys being in the “shade.” Shaded relief maps create the illusion of a three-dimensional appearance on standard paper or a screen.This tile layer is also available for download as a tile package at: Leon County Color Relief 2015 - Map Tile Package

High Quality Successional and Native Forests of Tallahassee and Leon County, Florida. This feature class was created as part of the Environmentally Sensitive Areas (ESA) Mapping Project.The Native and High Quality Successional Forests were mapped in GIS as part of a larger Environmentally Sensitive Areas (ESA) mapping project, which was a collaborative effort between the city and county growth management departments, the planning department and TLCGIS. This project was driven out of a need for better data that was standardized county-wide to support environmental resource planning, protection and regulation, etc. It was also needed to support public works and emergency management. Additionally, the Tallahassee-Leon County Comprehensive Plan Conservation Element Objectives and Policies required compilation and maintenance of maps of conservation and preservation features, effective 1990--the same year that the GIS Interlocal office was created. Prior to this in 1988, the original ESA data layers were mapped by environmental professionals and stormwater engineers working in what was then called the Leon County Department of Public Works. The data was drawn onto USGS quad maps (base) using mylar overlays (scale 24,000)--drainage basins were also mapped. It was supported by a Department of Community Affairs grant, and there was assistance from the FSU Geography Department. The Native and HQS Forests were identified using DOT Vegetation Inventory Maps, USFS Soils and Vegetation maps, some aerial photo review, and ground truthing.In 1996 a proposal was brought to the GIS Executive Committee by the departments as an ESA Remap Project that would map the layers (also Greenways) at larger scales of 1,200 and 2,400 using the new GIS base map. The project was funded by the TLCGIS. The layers were mapped by OPS environmental/biology students and graduates with oversight by the departments.Native and HQS Forests originally mapped on the quad maps were then heads up digitized into the GIS using base map data and two sets of digital aerial photos from '94 & '96. Hard copy aerials from '37 and '76 were also used for comparison. In the southeastern US mixed hardwood/beech-magnolia forests have a fairly distinct spectral signature on the false color infrared imagery which staff learned and were trained to recognize, with ground truthing where possible (property owners were called for access). The upland pine/longleaf and pine oak hickory signatures were not as easy to identify. The goal of the ESA Remap was to identify forests that had been continually forested since at least '37 (less so for longleaf forests where bulk of the diversity is in the groundcover). The soil and contour layers, with the aerials were used to find additional areas that hadn't been previously mapped. So, essentially it was a process of identifying a specific signature and also the environmental conditions (soils, slope, aspect, topography) that would have supported or allowed a forest type to have been protected throughout history. For example, beech-magnolia forests are often found on steep slopes that were historically difficult to access for logging or around wetland/floodplain areas that would have potentially limited logging due to saturated soils. Florida Natural Areas Inventory Element Occurrence data and Florida Fish and Wildlife Conservation Commission Closing the Gaps data were also used.

Geographic layers

Geographic layers on which the different data records are geo-referenced (e.g. mobility, COVID-19 cases). The different layers can be grouped into those that cover the whole territory of pain (e.g. municipalities) and those that are restricted to a specific region (Table1). Among those that cover the full territory of Spain, the record accounts for the first four levels of administrative division, that is, autonomous communities, provinces, municipalities and districts.

Visit https://flowmaps.life.bsc.es/flowboard/data for more information about the data.

Layers (geo-json format):

• cnig_ccaa : Comunidades Autónomas CNIG
• cnig_provincias : Provincias CNIG
• cnig_municipios : Municipios CNIG
• ine_sec : Secciones censales INE
• mitma_mov : Áreas de movilidad MITMA
• zbs_07 : Zonas Básicas de Salud de Cy
• abs_09 : Àrees Bàsiques de Salut GenCat
• zon_bas_13 : Zonas básicas sanitarias de Madrid
• oe_16 : Osasun Eremuak (Zonas de Salud) Euskadi
• zbs_15 : Zonas Básicas de Salud del Servicio Navarro de Salud

We present an interactive web map of Luquillo-CZO GIS data available for download.

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Sierra Leone. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

Input files required for Hydrogen Map workflow

This feature layer, often referred to as PARNAL, displays tax parcel boundaries for Tallahassee and Leon County, Florida as provided by the Leon County Property Appraisers Office. NAL refers to the Name, Address, and Legal Description fields that are included as part of this layer's attribute information. This layer is extracted from LCPAO's production database and refreshed every weekday.Interested in downloading parcel data from the Leon County Property Appraiser? Leon County Property Appraiser's Official Download Site

Input files required for Hydrogen Map workflow in the project "Wasserstoffatlas Deutschland", funded by the BMBF.

This feature layer displays active project locations as tracked by engineering staff at Leon County Public Works. This feature layer is a subset (view) of a parent hosted feature layer that is updated twice daily from a cloud (Azure) hosted SQL database that is administered by Leon County Applications team and maintained by engineering staff at Leon County Public Works.

A map tile layer featuring 2018 Color Digital Elevation Model (DEM) with Hillshade Model. This DEM was produced from airborne Lidar data collected between February 8 – April 25, 2018. The Quality Level of the 2018 Lidar survey is certified to be Quality Level 0, which is the highest accuracy level for airborne Lidar recognized by the USGS. Because of the high density of sampling, the DEM shows both natural and man-made ground features to a very high level of detail. The resolution (cell size) of the 2018 DEM is 2.5 feet. The accuracy of the elevations in the DEM is 0.24 feet (2.9 inches).Shaded relief maps (also known as hillshades) are a textured representation of the terrain surface. This is accomplished by using a hypothetical light source to enhance terrain visualization, allowing the user to easily interpret the landforms. Shaded relief can be displayed either using a gray-scale ramp, or by using a color ramp based on elevation. The shaded relief surfaces published by TLCGIS are produced from bare-earth elevation data collected using Lidar. The 2018 Lidar data was collected in February – April of 2018. The fundamental accuracy for this data was tested to meet 0.24 feet for unvegetated surfaces.What is a Color Relief Map?A color 3D representation of the terrain is created by merging the images from the color symbolized elevation model and hillshade model. This function uses the altitude and azimuth properties to specify the sun's position.Relief maps are usually more visually expressive than traditional topographical maps, since they are able to depict landforms more realistically in comparison to topographical maps, which typically rely on contour lines and spot heights to depict elevation. Using only contour lines to represent the earth’s surface can be hard to interpret, especially to those unfamiliar with cartography. Complex terrain can make interpretation harder still. Relief maps are easy to understand and interpret visually, proving very useful for accurately communicating a true representation of the landscape. Relief maps also require less technical knowledge to be understood.Shaded relief maps or hillshading, illustrate the real, three-dimensional landforms as accurately as possible, in a map’s two-dimensions. This is achieved by illuminating the earth’s surface with a hypothetical light source; most often from the upper-left corner. The light source casts shadows across the surface geography, resulting in a map that mirrors the landscape as if naturally observed from a considerable height, with peaks and aspects facing the light being brightly “illuminated,” and valleys being in the “shade.” Shaded relief maps create the illusion of a three-dimensional appearance on standard paper or a screen.This tile layer is also available for download as a tile package at: Leon County Color Relief 2018 - Map Tile Package

These data were automated to provide an accurate high-resolution historical shoreline of Holly Hill to Ponce de Leon Inlet, FL suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field surv...

This is a feature layer view of parcel center locations from the official Leon County Real Estate Portfolio as maintained by Leon County Real Estate Department (LCRED). This view displays only features that are coded as "Parks and Recreation".

Environmentally sensitive areas mapping NHW (Normal High Water) for waterbodies in Tallahassee and Leon County, Florida. These features are updated with imagery, digital elevation models (Lidar), and field observations on and as needed basis. While some waterbody features like stormwater ponds are not considered environmentally sensative, they have been inincluded in this set of features as reference and because they do participate in the drainage sytems of Tallahassee and Leon County. Methodology: The initial data source was the original waterbody data from the 1988 ESA maps. Additionally, Hydro features Type=215 from 2009, 2012, and 2015 Landbase datasets are added. The newly added waterbodies are examined to determine if they normally hold water by comparing aerial photography. Sources used as reference for the delineation process are the 2009 DEM, 2012 DEM, and the 2015 DEM, Leon County Soil Survey, National Wetlands Inventory (NWI) features which have Water1 attribute classifications of F, G, or H, 1996 Additional data sources include , USGS Digital Ortho Quarter Quadrangle imagery, orthoimagery from 1996, 2009, 2012, and 2015, permit files, and field verification. All polygon features are attributed and assigned a confidence interval. 4=walked boundary; 3=field verified, 2=sources agree, 1=sources disagree. Confidence intervals can change as a result of further investigation. Supplemental Information Waterbody features were obtained through remote sensing and topographic analysis. Site specific study needed to verify the normal high water line.

This map service displays Soils of Tallahassee - Leon County. With scale dependent draw and labeling. Best used with an alpha setting of 0.7 or transparency of 30%.SSURGO (Soil Survey Geographic database) refers to digital soils data produced and distributed by the Natural Resources Conservation Service (NRCS) - National Cartography and Geospatial Center (NCGC).This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.SSURGO Metadata Document

This polygon feature layer displays significant landmarks in Tallahassee and Leon County, Florida. This layer is used for cartographic effect as labeling and shading in TLCGIS's basemap layers and label overlays. The labels extended by this layer are intended to provide a visual reference that assists our users with spatial context as they view TLCGIS maps. This layer is also provided to ESRI in a standardized schema at regular intervals as part of the Community Maps Program. Accordingly, these features and labels also appear in ESRI basemaps. This layer is maintained by TLCGIS staff and is updated on an as needed basis.Landmark Categories:Amusement ParkCemeteryEducational InstitutionEmergency ResponseGolf CourseGovernment CenterHospitalIndustrial AreaLaw EnforcementLibraryMilitaryPrisonPublic AttractionsRetail CenterStadiumTransportationZoos

A map tile layer featuring 2018 Color Digital Elevation Model (DEM) with Hillshade Model. This DEM was produced from airborne Lidar data collected between February 8 – April 25, 2018. The Quality Level of the 2018 Lidar survey is certified to be Quality Level 0, which is the highest accuracy level for airborne Lidar recognized by the USGS. Because of the high density of sampling, the DEM shows both natural and man-made ground features to a very high level of detail. The resolution (cell size) of the 2018 DEM is 2.5 feet. The accuracy of the elevations in the DEM is 0.24 feet (2.9 inches).Shaded relief maps (also known as hillshades) are a textured representation of the terrain surface. This is accomplished by using a hypothetical light source to enhance terrain visualization, allowing the user to easily interpret the landforms. Shaded relief can be displayed either using a gray-scale ramp, or by using a color ramp based on elevation. The shaded relief surfaces published by TLCGIS are produced from bare-earth elevation data collected using Lidar. Three dates of shaded-relief surfaces are available: 2012, 2015, and 2018. The 2018 Lidar data was collected in February – April of 2018. The fundamental accuracy for this data was tested to meet 0.24 feet for unvegetated surfaces.This tile layer is also available for download as a tile package at: Leon County Color Relief 2018 - Map Tile Package

A map tile layer featuring 2020 Color Digital Elevation Model (DEM) with Hillshade Model. This DEM was produced from airborne Lidar data collected in January of 2020. Shaded relief maps (also known as hillshades) are a textured representation of the terrain surface. This is accomplished by using a hypothetical light source to enhance terrain visualization, allowing the user to easily interpret the landforms. Shaded relief can be displayed either using a gray-scale ramp, or by using a color ramp based on elevation. The shaded relief surfaces published by TLCGIS are produced from bare-earth elevation data collected using Lidar. The source Lidar for this DEM and hillshade model was collected in January of 2020.What is a Color Relief Map?A color 3D representation of the terrain is created by merging the images from the color symbolized elevation model and hillshade model. This function uses the altitude and azimuth properties to specify the sun's position.Relief maps are usually more visually expressive than traditional topographical maps, since they are able to depict landforms more realistically in comparison to topographical maps, which typically rely on contour lines and spot heights to depict elevation. Using only contour lines to represent the earth’s surface can be hard to interpret, especially to those unfamiliar with cartography. Complex terrain can make interpretation harder still. Relief maps are easy to understand and interpret visually, proving very useful for accurately communicating a true representation of the landscape. Relief maps also require less technical knowledge to be understood.Shaded relief maps or hillshading, illustrate the real, three-dimensional landforms as accurately as possible, in a map’s two-dimensions. This is achieved by illuminating the earth’s surface with a hypothetical light source; most often from the upper-left corner. The light source casts shadows across the surface geography, resulting in a map that mirrors the landscape as if naturally observed from a considerable height, with peaks and aspects facing the light being brightly “illuminated,” and valleys being in the “shade.” Shaded relief maps create the illusion of a three-dimensional appearance on standard paper or a screen.This tile layer is also available for download as a tile package at: Leon County Color Relief 2020 - Map Tile Package