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.
Geospatial data about City of San Diego, California Parcels. Export to CAD, GIS, PDF, CSV and access via API.
CDFW BIOS GIS Dataset, Contact: Emily Perkins, Description: The FPAs were designed to conserve as much of the Biological Core and Linkage Area (BCLA) as possible, minimize preserve fragmentation, maximize use of existing public lands and open space, and maintain private property rights and economic viability (MHCP Executive Summary 2003). Some areas are designated hardline and some softline. The hardline areas are designated primarily for conservation while the softline areas may be further delineated to development or conservation.
This resource is a member of a series. 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. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.
Point feature layer of City of San Diego library locations with associated website and contact information, created by the County of San Diego Department of Public Works GIS, in conjunction with San Diego County Library (SDCL).
This dataset comprises polygons of public parks in the County of San Diego, including open space parks and preserves.This dataset was created by merging parks datasets from the following sources: County of San Diego, City of San Diego, San Diego Port District, State Parks, SanGIS and 16 other incorporated cities in San Diego County.
This dataset comprises centerline segments for roads (both active and inactive, public and private, constructed or of record) in San Diego County based on data received from all official jurisdictions within the County (the County and 18 cities).
CDFW BIOS GIS Dataset, Contact: Emily Perkins, Description: This dataset was created for analytical purposes to assist in testing preserve design and levels of species conservation. The habitat linkages are linkages between the core resource areas. Core areas are defined in the MSCP plan as areas generally supporting a high concentration of sensitive biological resources which, if lost or fragmented, could not be replaced or mitigated elsewhere. Biological core areas identified in 1997 by the San Diego Multiple Species Conservation Program (MSCP).
The purpose of this project was to describe each of the native and naturalized vegetation types known to occur within western San Diego County and to provide the user a means to determine each type through direct observations of species composition. The classification presented herein is the result of a detailed analysis of data collected throughout the western San Diego County study area. Under contract to the San Diego Association of Governments (SANDAG), Biologists from AECOM, Conservation Biology Institute, and the California Department of Fish and Game (CDFG) Vegetation Classification and Mapping Program (VegCAMP) collaborated on these analyses, the definition of the classifications, and preparation of this manual. This classification study was conducted in a manner consistent with the recommendations for standardized data collection and analysis by CDFG VegCAMP (https://wildlife.ca.gov/Data/VegCAMP) and the methods used in the preparation of A Manual of California Vegetation, 2nd ed. (Sawyer; Keeler-Wolf; Evens 2009), published by the California Native Plant Society (CNPS). This projects classifications is in accordance with this larger work. A Manual of California Vegetation (MCV) is intentionally consistent within the larger context of the National Vegetation Classification System (NVCS), which has been adopted by federal agencies and nongovernmental organizations such as the US Geological Survey, National Park Service, and NatureServe. Thus each of these classifications can be compared in context with the others nationwide.
Geospatial data about City of San Diego, California Routes. Export to CAD, GIS, PDF, CSV and access via API.
Download Data Dictionary (CSV)This dataset comprises polygons representing current taxable parcels, including some non-taxable parcels, specifically within the city limits of Carlsbad. The data, sourced from SanGIS, contains parcels as shown on the Assessor Parcel Map (APM). It's important to note that parcels shown in this layer may lag behind the official APM by a number of weeks due to the timing of SanGIS being notified of newly created parcels and the publication schedule of the parcel layer. The City of Carlsbad GIS processes parcels monthly, adding another delay in the inclusion of newly created parcels.Point of Contact:For inquiries about land-use details and the implications of a property being within special zones/planning areas, overlay zones, including Coastal Zone, Redevelopment Zone, Beach Overlay Zone, Fire Zone, and Visitor Zone.City of Carlsbad Planning Division1635 Faraday AvenueCarlsbad, California 92008442-339-2610For the latest and most specific tax parcel information represented by parcel polygons, please refer to the SanGIS website or consult the San Diego County Assessor/Recorder/County Clerk (ARCC).SanGIS5510 Overland Avenue, Suite 230San Diego, California 92123858-874-7000
CDFW BIOS GIS Dataset, Contact: Eric Zahn, Description: This dataset represents a summary of SDTT data collected from 1996-2006. Any track or sign identified from 15 target animals was recorded. Surveys consisted of transects of approximately one mile in length and 30 feet in width along designated dirt trails and roads throughout open space lands in San Diego County.
These parcels are symbolized by SCAG land use codes for San Diego County. The work was done for a GIS Practicum project at Claremont Graduate University, Spring 2023.
Geospatial data about City of San Diego, California Rivers. Export to CAD, GIS, PDF, CSV and access via API.
The California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation classification and map of the Department's Oak Grove property, San Diego County, California following FGDC and National Vegetation Classification Standards. The vegetation classification was derived from floristic field survey data collected in the field in May 2010 and was based on previously described Alliances and Associations. The map was produced using true-color 2009 1-meter National Agricultural Imagery Program (NAIP) imagery as the base. Supplemental imagery including 2005 1-meter California Color Infrared (CIR) and true-color 1-foot aerial imagery available through GlobeXplorer ImageConnect were also used. The minimum mapping unit (MMU) is one acre, with the exception of wetland types, which were sometimes mapped to ½ acre. Field verification of 45 percent of the mapped polygons was conducted in June 2011; in combination with the 2010 sampling effort, 83 percent of the polygons were verified in the field.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year
Public transit routes in San Diego County managed by the San Diego County Metropolitan Transit System (MTS) and the North County Transit District (NCTD). Bus, commuter and light rail, and trolley routes managed and developed from the General Transit Feed Specification (GTFS) data available from the github mobility database. Routes are developed from the GTFS data available through Github Mobility Database (https://www.sdmts.com/google_transit_files/google_transit.zip and https://www.gonctd.com/google_transit.zip). GTFS data is provided to the exchange by the transit agencies and processed by SanGIS to create a consolidated GIS layer containing routes from both systems. SanGIS uses a publicly available ESRI ArcToolbox tool to create the GIS data layer. This data set is created using the ROUTES.txt and SHAPES.txt GTFS data files. Routes layers for MTS and NCTD are created separately and combined into a single layer using ArcGIS tools.
Geospatial data about City of San Diego, California Lakes. Export to CAD, GIS, PDF, CSV and access via API.
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 single polygon that depicts all of Bexar County and the Extra-Territorial Jurisdiction (ETJ) areas for the City of San Antonio. This is the minimum coverage area needed by the City for aerial imagery.
This data is being used as reference for the Aerial Imagery Service Request for Proposals (RFP).
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.