This sample Web Scene demonstrates how you can bring a Maritime Chart Service web service into a 3D scene. For this example, the ENC land features are turned off to allow for the display of 3D land features.ArcGIS Maritime server extension's Maritime Chart Service (MCS) capability is a Server Object Extension that provides both OGC WMS and Esri RESTful web services to quickly view and query your S-57 or S-63 encrypted datasets.The primary ENC data in this web service was downloaded from NOAA's public site. Datasets are not guaranteed to be kept up-to-date and are for demonstration purposes only. To learn more about this product visit ArcGIS Maritime.
This dataset is a collection of the current base zone designations applied to property in the City of San Diego, as per the Official Zoning Map adopted by the City Council on February 28, 2006, and all subsequent updates.Residential Base Zones (RE, RS, RX, RT, RM) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division04.pdf Areas designated for single and multi-family residences. More information about Residential Base Zone regulations are available from https://www.sandiego.gov/development-services/zoning/zoninginfo/zoninginfo130104 Commercial Base Zones (CN, CR, CO, CV, CP, CC) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division05.pdf Areas intended for businesses that provide consumer goods and services as well as a wide variety of commercial, retail, office and recreational uses. Industrial Base Zones (IP, IL, IH, IS, IBT) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division06.pdf Areas intended for research and development, factories, warehousing and other industrial uses. Mixed-Use Base Zones (RMX, EMX) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division07.pdf
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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
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).
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.
The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.
SD2017_4inch Metadata
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).
The Digital Geologic-GIS Map of San Antonio Missions National Historical Park and Vicinity, Texas 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 (saan_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 (saan_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 (saan_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 (saan_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (saan_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 (saan_geology_metadata_faq.pdf). Please read the saan_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: Texas Bureau of Economic Geology, University of Texas at Austin and Texas Water Development Board. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (saan_geology_metadata.txt or saan_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 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 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).
These data were automated to provide an accurate high-resolution historical shoreline of San Diego, California 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 survey. The NGS att...
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
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
Geospatial data about City of San Diego, California Canyons. Export to CAD, GIS, PDF, CSV and access via API.
This dataset comprises road centerlines for all roads in San Diego County. Road centerline information is collected from recorded documents (subdivision and parcel maps) and information provided by local jurisidictions (Cities in San Diego County, County of San Diego). Road names and address ranges are as designated by the official address coordinator for each jurisidcition. Jurisdictional information is created from spatial overlays with other data layers (e.g. Jurisdiction, Census Tract).The layer contains both public and private roads. Not all roads are shown on official, recorded documents. Centerlines may be included for dedicated public roads even if they have not been constructed. Public road names are the official names as maintained by the addressing authority for the jurisdiction in which the road is located. Official road names may not match the common or local name used to identify the road (e.g. State Route 94 is the official name of certain road segments commonly referred to as Campo Road).Private roads are either named or unnamed. Named private roads are as shown on official recorded documents or as directed by the addressing authority for the jurisdiction in which the road is located. Unnamed private roads are included where requested by the local jurisidiction or by SanGIS JPA members (primarily emergency response dispatch agencies). Roads are comprised of road segments that are individually identified by a unique, and persistent, ID (ROADSEGID). Roads segments are terminated where they intersect with each other, at jurisdictional boundaries (i.e. city limits), certain census tract and law beat boundaries, at locations where road names change, and at other locations as required by SanGIS JPA members. Each road segment terminates at an intersection point that can be found in the ROADS_INTERSECTION layer.Road centerlines do not necessarily follow the centerline of dedicated rights-of-way (ROW). Centerlines are adjusted as needed to fit the actual, constructed roadway. However, many road centerline segments are created intially based on record documents prior to construction and may not have been updated to meet as-built locations. Please notify SanGIS if the actual location differs from that shown. See the SanGIS website for contact information and reporting problems (http://www.sangis.org/contact/problem.html).Note, the road speeds in this layer are based on road segment class and were published as part of an agreement between San Diego Fire-Rescue, the San Diego County Sheriff's Department, and SanGIS. The average speed is based on heavy fire vehicles and may not represent the posted speed limit.
Geospatial data about City of San Diego, California Parcels. Export to CAD, GIS, PDF, CSV and access via API.
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
Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.
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.
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Local jurisdctions in the San Diego region based on the MUNICIPAL_BOUNDARIES layer in the Regional GIS Data Warehouse.
Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.
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).
This sample Web Scene demonstrates how you can bring a Maritime Chart Service web service into a 3D scene. For this example, the ENC land features are turned off to allow for the display of 3D land features.ArcGIS Maritime server extension's Maritime Chart Service (MCS) capability is a Server Object Extension that provides both OGC WMS and Esri RESTful web services to quickly view and query your S-57 or S-63 encrypted datasets.The primary ENC data in this web service was downloaded from NOAA's public site. Datasets are not guaranteed to be kept up-to-date and are for demonstration purposes only. To learn more about this product visit ArcGIS Maritime.