This dataset was created by the Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) for planning and asset inventory purposes, as well as for visualization and general mapping. County boundaries were digitized by TxDOT using USGS quad maps, and converted to line features using the Feature to Line tool. This dataset depicts a generalized coastline.Update Frequency: As NeededSource: Texas General Land OfficeSecurity Level: PublicOwned by TxDOT: FalseRelated LinksData Dictionary PDF [Generated 2025/03/14]

Vector polygon map data of property parcels from the City of San Antonio, Texas containing 629,531 features.

Parcel map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Attributes for this data layer include: Shape_area, GlobalID, Shape_len, Shape, ModifiedDate, ParcelKey, and ModifiedUID.

Available for viewing and sharing in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

This is a graphical polygon dataset depicting the polygon boundaries of Cities within Bexar County Texas and Surrounding Counties. (excluding San Antonio)Updated per Ordinance No. 564, No. 565, and No. 567 on April 9, 2015 extending the Helotes City limits with the annexation of four parcels of vacant property known as Bricewood Subdivision. Updated previously per Resolution No 2012-007-R From the City of Somerset .Updated per ordinance 2014-09-04-0657 (Savano Park ETJ ONLY release)Updated per ordinance 2014-09-04-0658 (Live Oak City Limit release)Updated per ordinance 2014-08-21-0614 (Fair Oaks Ranch ETJ ONLY release.

FOR PLAT MAPS AND OTHER LAND DOCUMENTS, PLEASE VISIT THE COUNTY CLERK’S OFFICIAL RECORDS SEARCH: HTTPS://BEXAR.TX.PUBLICSEARCH.US.The Bexar County GIS Team does not have purview over plat maps and other land records. Please visit the Bexar County Clerk’s Official Records Search.

Approximate Hail Swath Map for Bexar County, Texas on 25 April 2016. More details on this event can be found in the Weather Event History PDF here: https://www.weather.gov/media/ewx/wxevents/ewx-20160425.pdfThis map supports the following mapping application:San Antonio/Bexar County Hail Swath Comparison April 2016

This is a geographical polygon dataset depicting the polygon boundaries of all mandatory detention areas within the City of San Antonio, and Bexar County, Texas.

Census Tract boundaries within Bexar County. A census tract is a geographic region defined for the purpose of taking a census. Usually these coincide with the limits of cities, towns or other administrative areas and several tracts commonly exist within a county. In unincorporated areas of the United States these are often arbitrary, except for coinciding with political lines. In the United States, census tracts are subdivided into block groups and census blocks. According to the U.S. Census Bureau: Census tracts are designed to be relatively homogeneous units with respect to population characteristics, economic status, and living conditions, census tracts average about 4,000 inhabitants.

Bexar County Census Block Groups boundaries. A census block group is a geographical unit used by the United States Census Bureau which is between the census tract and the census block. It is the smallest geographical unit for which the bureau publishes sample data, i.e data which is only collected from a fraction of all households.Please see the 2020 Census Block Groups Data Dictionary for an explanation of field attributes.

City, Town, and Village boundary file, digitized from the Oswego County, NY tax maps as originally drawn by Stewart Mapping Services, Inc of San Antonio Texas, but with topology corrected by Oswego County Department of Real Property Tax Services.

This map includes the re-evaluated Karst Zones and Karst Fauna Regions associated with the eight federally endangered karst invertebrates in Bexar County, Texas. These data were produced by Veni, Cooper, and Dickerson (2024). The map also includes the critical habitat designated in 2012 for the eight endangered karst invertebrates. Detailed descriptions of each data layer are embedded individually by layer with accompanying metadata. A broad overview of each data type is written below. For additional information on these layers, associated publications, and on endangered karst invertebrates in Texas, see https://www.fws.gov/library/collections/terrestrial-karst-invertebrates.Karst ZonesKarst Zones are delineated areas that inform the likelihood of rare or endangered species being present. Each Karst Zone is delineated within the boundaries of an established Karst Fauna Region, primarily based on lithology (i.e., general physical characteristics of rock types). The Zone definitions are as follows:Karst Zone 1. Areas known to contain endangered karst invertebrate species.Karst Zone 2. Areas having a high probability of suitable habitat for endangered or other endemic karst invertebrate species.Karst Zone 3a. Areas suitable for endangered karst invertebrate species but which have a low probability of containing endangered karst species because the habitat is occupied by other karst invertebrate species.Karst Zone 3b. Areas which have a low probability of containing endangered karst invertebrate species because they are poorly suited for karst invertebrate species.Karst Zone 4a. Areas suitable for karst invertebrate species but which do not contain endangered karst species because the habitat is occupied by other karst invertebrate species.Karst Zone 4b. Areas which do not contain karst invertebrate species.Karst Fauna RegionsFor the purpose of the Bexar County Karst Invertebrates Recovery Plan, Karst Fauna Regions (KFRs) are geographic areas delineated based on potential environmental and biological barriers or restrictions that control the distribution of karst invertebrates.Six formal KFRs occupied by federally endangered karst invertebrates were originally established by Veni (1994) and are revised here: Stone Oak, UTSA, Helotes, Government Canyon, Culebra Anticline, and Alamo Heights.Six additional informal KFRs have been defined here, which are occupied by non-listed karst invertebrates: Western Comal, Northern Bexar, New Braunfels, IH 35, Central San Antonio, and Central Medina (Veni, Cooper, and Dickerson 2024).Critical HabitatCritical Habitat was designated in 2012 for areas known to be occupied by any of the federally endangered karst invertebrates in Bexar County, Texas. These Critical Habitat Units (CHUs) include the cave footprint, surface and subsurface drainage areas of the cave (where known), a cave cricket foraging area, and an area of at least 100 acres around the cave footprint of undisturbed or restorable vegetation as recommended by the Bexar County Karst Invertebrates Recovery Team.

This layer contains parcels data for Oswego County, NY as taken from the current digitized version of the county tax maps. Originally drawn by Stewart Mapping Services, Inc of San Antonio Texas in 1975, but with digital topology corrected by Oswego County's Department of Real Property Tax Services from 1996-present. Contains taxable parcels attributed with assessment data taken from local assessment rolls.Geography is based upon the taxable status date of March 1st, 2025. Assessment attributes are from the latest final assessment roll (2024) except ownership which is updated bi-monthly on Fridays to reflect the most current owners of record. Click here to retrieve a data dictionary for decoding fields.Note: The original tax maps that these files were digitized from only had an accuracy between 10-20 feet on ground. While every effort is made to maintain this geographic data in an accurate format, the lines drawn from this data are fundamentally informational in nature and are not equivalent to survey grade. Geoprocessing has been applied to this specific web layer to allow faster drawing of lines which can further degrade the accuracy of their geometry. Finally, these parcels are used to create county tax maps which have the sole use case of giving assistance for local municipal assessors in the fulfillment of their duties, there is no warranty (expressed or implied) for any other use.

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEM includes the 'best available' lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Corpus Christi TX Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The counties within this boundary are: Kleberg, Nueces, San Patricio, Aransas, Refugio, Victoria, and Calhoun.For all counties, except for Kleberg, the DEM is derived from LiDAR data sets collected for the Texas Water Development Board (TWDB) in 2005 and 2006 with a point density of 1.4 m GSD. The LiDAR data for Kleberg County is based on the US Geological Survey (USGS) National Elevation Dataset (NED) 1/9 arc-second elevation data. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the data sets. Hydrography for Kleberg County is based on the National Hydrography Dataset (NHD) and the National Wetlands Inventory (NWI). The DEM is hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Victoria, Calhoun, Aransas, Refugio, San Patricio, Nueces, and Kleberg counties.

Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for selected communities of Texas that experienced flooding in August and September, 2017. The mapped area boundary, flood inundation extents, depth rasters, and coastal surge layer were created to provide an estimated extent of flood inundation in Coastal basins including East and West Matagorda Bay Subbasins, East and West San Antonio Bay Subbasins, and Aransas Bay Subbasin, Texas. The mapped area of the Coastal basins were separated into three sections based on the availability and location of high-water marks. The maps of the eastern part of the East Matagorda Bay Subbasin include a 17-mi reach of Peyton Creek and a 16-mi reach of Big Boggy Creek, and flood-inundation map for 6-mi reach of Little Boggy Creek in Matagorda County. The maps of the western part of East Matagorda Bay Subbasin include a 13.5-mi reach of West Carancahua Creek, 14.5-mi reach of East Carancahua Creek, and 9.6-mi reach of Keller Creek within Matagorda, Jackson, and Calhoun Counties. The maps of the middle part of the East Matagorda Bay Subbasin are for a 21-mi reach of the Tres Palacios River within Matagorda County. These geospatial data include the following items: 1. bnd_emb1, bnd_emb2, and bnd_tres_palacios; shapefiles containing the polygon showing the mapped area boundary for the Coastal basins flood maps, 2. hwm_emb_1, hwm_emb2, and hwm_tres_palacios; shapefiles containing high-water mark points used for inundation maps, 3. polygon_emb1, polygon_emb_2, and polygon_tres_palacios; shapefiles containing mapped extent of flood inundation for the Coastal basins, derived from the water-surface elevation surveyed at high-water marks, 4. depth_emb1, depth_emb2, and depth_tres; raster files for the flood depths derived from the water-surface elevation surveyed at high-water marks, and 5. coastal_surge.lyr; a layer file generated from the depth raster depicting water height above ground recorded at the high-water marks. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). The HWM elevation data from the USGS Short-tern Network (STN) was used to create the flood water-surface raster file (U.S. Geological Survey [USGS], 2018, Short-Term Network Data Portal: USGS flood information web page, accessed February 13, 2018, at https://water.usgs.gov/floods/FEV.). The water-surface raster was the basis for the creation of the final flood inundation polygon and depth layer to support the development of flood inundation map for the Federal Emergency Management Agency's (FEMA) response and recovery operations.

Feature layer showing a swath of large hail that affected Bexar County, Texas on April 25, 2016.This layer supports the following maps:San Antonio/Bexar County Hail 25 April 2016San Antonio/Bexar County Hail Swath Comparison April 2016

A previously developed groundwater flow model (https://doi.org/10.5066/P9051RUT) was slightly modified to estimate the risk-based discrete relation between groundwater extraction and surface-water/groundwater exchange. Previously, the concept of a ''capture map'' has been put forward as a means to effectively summarize this relation for decision-making consumption. While capture maps have enjoyed success in the environmental simulation industry, they are deterministic, ignoring uncertainty in the underlying model. Furthermore, capture maps are not typically calculated in a manner that facilitates analysis of varying combinations of extraction locations and/or reaches.
That is, they are typically constructed with focus on a single reach or group of reaches. The former of these limitations is important for conveying risk to decision makers, while the latter is important for decision-making support related to surface-water management, where future foci may include reaches that were not the focus of the original capture analysis.

Herein, we use a MODFLOW-NWT groundwater/surface-water model of the lower San Antonio River, Texas, USA to demonstrate a technique to estimate risk-based and spatially discrete streamflow depletion potential. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.1111/gwat.13080)

The primary purpose of the USGS National Assessment of Coastal Change Project is to provide accurate representations of pre-storm ground conditions for areas that are designated high priority because they have dense populations or valuable resources that are at risk from storm waves. A secondary purpose of the project is to develop a geomorphic (land feature) coastal classification that, with only minor modification, can be applied to most coastal regions in the United States.

A Coastal Classification Map describing local geomorphic features is the first step toward determining the hazard vulnerability of an area. The Coastal Classification Maps of the National Assessment of Coastal Change Project present ground conditions such as beach width, dune elevations, overwash potential, and density of development. In order to complete a hazard-vulnerability assessment, that information must be integrated with other information, such as prior storm impacts and beach stability. The Coastal Classification Maps provide much of the basic information for such an assessment and represent a critical component of a storm-impact forecasting capability.

The map above shows the areas covered by this web site. Click on any of the location names or outlines to view the Coastal Classification Map for that area.

[Summary provided by the USGS.]

This layer originated from The Texas Historical Commision and has been updated over time by Texas Department of Transportation staff for use in the County Map Book. Date valid as of: 5/4/2015 Publish Date: 5/4/2015 Update Frequency: InfrequentlySecurity Level: Public

OVERVIEWStudents will use the Texas Counties Population and Agriculture Dashboard to complete this activity. They will gather mathematical data from a digital history website and complete dot-plot graphs. They will also use that data to then write a brief narrative about life in Bexar County after the Civil War. If there is time, an optional handout requiring students to compare Bexar County to others is also provided.LEARNING OBJECTIVESBy the end of this lesson, you will be able to…Use a map to gather statistics on farming in Bexar County.Create graphs of that data.Use the data to speculate about what you may have done if you lived in Bexar County!TEKS COVEREDSocial Studies 7A, B, 9B, 11A, 19A, B, C, 20A, B, 21A, C, DMath: 1A, 2B, C, 4G, 9A, B MATERIALS NEEDED: • Laptop or computer with internet access • Pencil and Handout • Attached Job Aid