50 datasets found
  1. a

    Riverside County - Map My County

    • gis-wmwd.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 12, 2021
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    WMWD (2021). Riverside County - Map My County [Dataset]. https://gis-wmwd.hub.arcgis.com/documents/576b6a0f573845c19effc87f54b9af68
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    Dataset updated
    Mar 12, 2021
    Dataset authored and provided by
    WMWD
    Area covered
    Riverside County
    Description

    Riverside County's GIS web viewer that supplies various datasets containing parcel, transportation, environmental, and boundary layers and more.

  2. K

    Riverside County, California Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jan 14, 2024
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    Riverside County, California (2024). Riverside County, California Parcels [Dataset]. https://koordinates.com/layer/96844-riverside-county-california-parcels/
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    geodatabase, mapinfo tab, csv, shapefile, kml, dwg, geopackage / sqlite, pdf, mapinfo mifAvailable download formats
    Dataset updated
    Jan 14, 2024
    Dataset authored and provided by
    Riverside County, California
    Area covered
    Description

    Vector polygon map data of property parcels from Riverside County, California containing 846, 890 features.

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

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

    Available for viewing and sharing as a map 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.

    APN refers to Assessor's Parcel Number FLAG refers to a special designation for the parcel

  3. Vegetation - Western Riverside County - 2005 [ds170]

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +6more
    Updated Sep 10, 2021
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    California Department of Fish and Wildlife (2021). Vegetation - Western Riverside County - 2005 [ds170] [Dataset]. https://gis.data.ca.gov/datasets/CDFW::vegetation-western-riverside-county-2005-ds170-2
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    Dataset updated
    Sep 10, 2021
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Description

    The California Department of Fish and Game (CDFG) contracted with the California Native Plant Society (CNPS) and Aerial Information Systems (AIS) to produce an alliance-level, vegetation classification and map of Western Riverside County, California. The resulting classification and map products will be used to help establish a monitoring basis for the vegetation and habitats of the Western Riverside County Multi-Species Habitat Conservation Plan (MSHCP). The plan aims to conserve over 500,000 acres of land out of the 1.26 million acre total. This area is the largest MSHCP ever attempted and is an integral piece of the network of Southern California Habitat Conservation Plans and Natural Community Conservation Planning (Dudek 2001, Dudek 2003). Riverside County is one of the fastest growing counties in California, as well as one of the most biodiverse counties in the United States. A wide array of habitats are found within the non-developed lands in Western Riverside County, including coastal sage scrub, vernal pools, montane coniferous forest, chaparral, foothill woodland, annual grassland, and desert. In the CNPS contract, vegetation resources were assessed quantitatively through field surveys, data analysis, and final vegetation classification. Field survey data were analyzed statistically to come up with a floristically-based classification. Each vegetation type sampled was classified according to the National Vegetation Classification System to the alliance level (and association level if possible). The vegetation alliances were described floristically and environmentally in standard descriptions, and a final key was produced to differentiate among 101 alliances, 169 associations, and 3 unique stands (for final report, see https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=18245). In a parallel but separate effort by AIS (as reported in this dataset), vegetation mapping was undertaken through interpretation of ortho-rectified, aerial photographs for vegetation signatures in color infrared (CIR) and in natural color (imagery flown in winter or summer). A detailed map has been produced through the following process: 1) hand-delineation of polygons on base CIR imagery, 2) digitization of polygons, and 3) attribution of the vegetation types and overstory cover values. The map was created in a Geographic Information System (GIS) digital format, as was the database of field surveys. The dataset was produced through an on-screen photo interpretation procedure using three sets of geo-referenced imagery. The data is classified to a floristic classification derived through clustering analysis procedures based on species dominance and significance. The classification is based on the MCV (Manual of California Vegetation) in which 103 alliances and 169 floristic associations have been defined for the study area. Over 3300 full plot and reconnaissance points have been used in helping classify the mapped polygons. Mapped polygons are classified to either an association, alliance or mapping unit which may be an aggregation of associations or alliances. The dataset encompasses the western portions of Riverside County from the county boundary on the west eastward to the summit of the San Jacinto Mountains and Anza valley.

  4. d

    Electrical Resistivity Tomography GIS Data near Anza, Riverside County,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 27, 2025
    + more versions
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    U.S. Geological Survey (2025). Electrical Resistivity Tomography GIS Data near Anza, Riverside County, California, 2018 [Dataset]. https://catalog.data.gov/dataset/electrical-resistivity-tomography-gis-data-near-anza-riverside-county-california-2018
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    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Anza, California, Riverside County
    Description

    The Cahuilla Valley and Terwilliger Valley groundwater basins, 9-006 and 7-026 respectively (California Department of Water Resources 2016) located approximately 25 miles southwest of Palm Springs, are the sole-source for groundwater supply for the rural disadvantaged community and two Native American Tribes, the Ramona Band of Cahuilla and the Cahuilla. The characteristics and sustainable yield of the Cahuilla Valley and Terwilliger Valley groundwater basins are not well understood and are threatened by increasing water use and potential changes in water sustainability related to climate change. Previous USGS studies of the Cahuilla-Terwilliger Valley groundwater basins defined the thicknesses and characteristics of the alluvial sediments that constitute the main water-bearing unit of the aquifer system and identified where wells completed in the underlying fractured bedrock are located (Moyle, 1976; Landon and others, 2015; Woolfenden and Bright, 1988). However, although the fractured bedrock is an important part of the aquifer system for domestic and some irrigation supply, the thickness and hydraulic characteristics of the fractured bedrock are not well understood (Landon and others, 2015; Moyle 1976). Existing gravity data identified a possible conduit for groundwater flow beneath Cahuilla Creek in the Cahuilla and Durasno Valleys (Landon and others, 2015). Electrical resistivity tomography (ERT) data was collected in August 2018 to evaluate the cross-sectional depth to bedrock underlying a narrow section of Durasno Valley, and to help select locations for groundwater monitoring wells. Data from two transects were collected perpendicular to Cahuilla Creek, and offset by approximately 600 meters (m).

  5. Riverside 2025 Roll Year

    • gis.data.ca.gov
    • hub.arcgis.com
    • +1more
    Updated Jun 9, 2025
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    California Department of Tax and Fee Administration (2025). Riverside 2025 Roll Year [Dataset]. https://gis.data.ca.gov/maps/091bd41baccc47c1b50db505a9785702
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    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

    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

  6. c

    Animals, Multi-Species HCP - Western Riverside County [ds989] GIS Dataset

    • map.dfg.ca.gov
    Updated Aug 17, 2023
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    (2023). Animals, Multi-Species HCP - Western Riverside County [ds989] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0989.html
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    Dataset updated
    Aug 17, 2023
    Area covered
    Riverside County
    Description

    CDFW BIOS GIS Dataset, Contact: Karyn L Drennen, Description: The Biological Monitoring Program is a part of the Western Riverside County Multi-Species Habitat Conservation Plan (MSHCP), which was permitted in June, 2004. The Monitoring Program monitors the status of 146 Covered Species within a designated Conservation Area to provide information to permittees, land managers, the public, and wildlife agencies (i.e., the California Department of Fish and Wildlife and the U.S. Fish and Wildlife Service).

  7. a

    Riverside County 2019 State

    • gisopendata-countyofriverside.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 2, 2021
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    Riverside County Mapping Portal (2021). Riverside County 2019 State [Dataset]. https://gisopendata-countyofriverside.opendata.arcgis.com/datasets/CountyofRiverside::riverside-county-2019-state/about
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    Dataset updated
    Mar 2, 2021
    Dataset authored and provided by
    Riverside County Mapping Portal
    Area covered
    Description

    Riverside County 2019 images. 6 inch resolution. Projected to California State Plane Zone VI.

  8. U

    Topographic Map image of the San Gorgonio Pass area, Riverside County,...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Apr 13, 2004
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    United States Geological Survey (2004). Topographic Map image of the San Gorgonio Pass area, Riverside County, California. [Dataset]. http://doi.org/10.5066/P9HSH2G4
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    Dataset updated
    Apr 13, 2004
    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

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

    Time period covered
    Nov 1, 2001
    Area covered
    San Gorgonio Pass, Riverside County, California
    Description

    This Digital Raster Graphic (DRG) was created using scanned U.S. Geological Survey 7.5-minute 1 to 24,000 scale maps georeferenced in Universal Transverse Mercator (UTM) grid. DRGs can be acquired with or without collar information for use in Geographic Information System (GIS) environment. Collarless DRGs can be edge matched creating a continuous collection of topographic maps.

  9. Vegetation - Western Riverside County Update - 2012 [ds1196]

    • data.ca.gov
    • data.cnra.ca.gov
    • +2more
    Updated Apr 8, 2022
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    California Department of Fish and Wildlife (2022). Vegetation - Western Riverside County Update - 2012 [ds1196] [Dataset]. https://data.ca.gov/dataset/vegetation-western-riverside-county-update-2012-ds1196
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    zip, arcgis geoservices rest api, csv, kml, html, geojsonAvailable download formats
    Dataset updated
    Apr 8, 2022
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Riverside County
    Description

    Aerial Information Systems, Inc. (AIS) was contracted by the Western Riverside County Regional Conservation Authority to perform an update to their original 2005 Western Riverside Vegetation Map. The project was funded through a Local Assistance Grant from the California Department of Fish and Wildlife (CDFW). The original vegetation layer was created in 2005 using a baseline image dataset created from 2000/01 Emerge imagery flown in early spring. The original map has been used to monitor and evaluate the habitat in the Western Riverside County Multi-species Habitat Conservation Plan (MSHCP).

    An update to the original map was needed to address changes in vegetation makeup that have occurred in the intervening years due to widespread and multiple burns in the mapping area, urban expansion, and broadly occurring vegetation succession.

    The update conforms to the standards set by the National Vegetation Classification System (NVCS) published in 2008 by the Federal Geographic Data Committee. (FGDC-STD-005-2008, Vegetation Subcommittee, Federal Geographic Data Committee, February 2008) The update also adheres to the vegetation types as represented in the 2008-second edition of the Manual of California Vegetation (MCV2). Extensive ground based field data both within and nearby the western Riverside County mapping area has been acquired since the completion of the project in 2005. This additional data has resulted in the reclassification of several vegetation types that are addressed in the updated vegetation map.

    The mapping area covers 1,017,364 acres of the original 1.2 million acres mapped in the 2005 study. The new study covers portions of the Upper Santa Ana River Valley, Perris Plain, and the foothills of the San Jacinto and Santa Ana Mountains but excludes US Forest Service land. The final geodatabase includes an updated 2012 vegetation map. Vegetative and cartographic comparisons between the newly created 2012 image-based map and the original vegetation map produced in 2005 are described in this report.

    The Update mapping was performed using baseline digital imagery created in 2012 by the US Department of Agriculture – Farm Service Agency’s National Agricultural Imagery Program (NAIP). Vegetation units were mapped using the National Vegetation Classification System (NVCS) to the Alliance and Association level as depicted in the MCV2. Approximately 55 percent of the study area is classified to vegetated or naturally occurring sparsely vegetated types; the remaining 45 percent is unvegetated, with over a third (36 percent) in urban development and an additional 9 percent in agriculture.

    The major tasks for the Update project consisted of updating the original mapping classification to conform to the changes and refinements to the MCV2 classification, updating the existing vegetation map to 2012 conditions, retroactively correcting the 2005 vegetation interpretations, creating the final report and project metadata, and producing the final vegetation geodatabase.

    After completion of the original 2005 vegetation map, CDFW crosswalked the original mapping units to the NVCS hierarchical names as defined in the Manual of California Vegetation (MCV).The original crosswalk was revised during the Update effort to reflect changes in the original MCV classification as depicted in the second edition (MCV2). Changes were minor and did not result in a significant effort in the updating process.

    The updating process in many steps is similar to the creation of the original vegetation map. First, photo interpreters review the study area for terrain, environmental features, and probable vegetation types present. Questionable photo signatures on the new baseline imagery (2012 NAIP) were compared to the original 2000/01 Emerge imagery. Photo signatures for a given vegetation polygon were correlated between the two image datasets.

    Production level updates to the linework and labeling commenced following the correlation of the two baseline image datasets and the subsequent refinement of photo interpretation criteria and biogeographical descriptions of the types. Existing datasets depicting topography, fire history, climate and past vegetation gathering efforts aided photo interpreters in their delineations and floristic assignments during the updating effort. The production updating effort took approximately 11 months.

  10. a

    2019 Regional Land Use Information for Riverside County

    • hub.arcgis.com
    • hub.scag.ca.gov
    Updated Aug 30, 2024
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    rdpgisadmin (2024). 2019 Regional Land Use Information for Riverside County [Dataset]. https://hub.arcgis.com/datasets/d6aaeefb45174e08bf25f091b4a0266c
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    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    rdpgisadmin
    License

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

    Area covered
    Description

    This is SCAG 2019 Regional Land Use dataset developed for the final 2024 Connect SoCal, the 2024-2050 Regional Transportation Plan/Sustainable Communities Strategy (RTP/SCS), including general plan land use, specific plan land use, zoning code, and existing land use at parcel-level (approximately five million parcels) for 197 local jurisdictions in the SCAG region.The regional land use dataset is developed (1) to aid in SCAG’s regional transportation planning, scenario planning and growth forecasting, (2) facilitate policy discussion on various planning issues, and (3) enhance information database to better serve SCAG member jurisdictions, research institutes, universities, developers, general public, etc. It is the most frequently and widely utilized SCAG geospatial data. From late 2019 to early 2020, SCAG staff obtained the 2019 parcel boundary GIS file and tax roll property information from county assessor’s offices. After months of data standardization and clean-up process, SCAG staff released the 2019 parcel boundary GIS files along with the 2019 Annual Land Use dataset in February 2021. In December 2021, SCAG staff successfully developed the preliminary dataset of the 2019 regional land use data and released the draft SCAG Data/Map Book in May 2022. The preliminary land use data was reviewed by local jurisdictions during the Local Data Exchange (LDX) process for Connect SoCal 2024. As a part of the final 2019 regional land use data development process, SCAG staff made every effort to review the local jurisdictions’ inputs and comments and incorporated any updates to the regional land use datasets. The products of this project has been used as one of the key elements for Connect SoCal 2024 plan development, growth forecasting, scenario planning, and SCAG’s policy discussion on various planning issues, as well as Connect SoCal key growth strategy analysis.Note: This dataset is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, currentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Users should consult with each local jurisdiction directly to obtain the official land use information.2019 SCAG Land Use Codes: LegendLand Use Description Single Family Residential1110 Single Family Residential 1111 High Density Single Family Residential (9 or more DUs/ac) 1112 Medium Density Single Family Residential (3-8 DUs/ac) 1113 Low Density Single Family Residential (2 or less DUs/ac)Multi-Family Residential1120 Multi-Family Residential 1121 Mixed Multi-Family Residential1122 Duplexes, Triplexes and 2- or 3-Unit Condominiums and Townhouses1123 Low-Rise Apartments, Condominiums, and Townhouses1124 Medium-Rise Apartments and Condominiums1125 High-Rise Apartments and CondominiumsMobile Homes and Trailer Parks1130 Mobile Homes and Trailer Parks1131 Trailer Parks and Mobile Home Courts, High-Density1132 Mobile Home Courts and Subdivisions, Low-DensityMixed Residential1140 Mixed Residential1100 ResidentialRural Residential 1150 Rural ResidentialGeneral Office1210 General Office Use 1211 Low- and Medium-Rise Major Office Use 1212 High-Rise Major Office Use 1213 SkyscrapersCommercial and Services1200 Commercial and Services1220 Retail Stores and Commercial Services 1221 Regional Shopping Center 1222 Retail Centers (Non-Strip With Contiguous Interconnected Off-Street Parking) 1223 Retail Strip Development1230 Other Commercial 1231 Commercial Storage 1232 Commercial Recreation 1233 Hotels and MotelsFacilities1240 Public Facilities1241 Government Offices1242 Police and Sheriff Stations1243 Fire Stations1244 Major Medical Health Care Facilities1245 Religious Facilities1246 Other Public Facilities1247 Public Parking Facilities1250 Special Use Facilities1251 Correctional Facilities1252 Special Care Facilities1253 Other Special Use FacilitiesEducation1260 Educational Institutions1261 Pre-Schools/Day Care Centers1262 Elementary Schools1263 Junior or Intermediate High Schools1264 Senior High Schools1265 Colleges and Universities1266 Trade Schools and Professional Training FacilitiesMilitary Installations1270 Military Installations1271 Base (Built-up Area)1272 Vacant Area1273 Air Field1274 Former Base (Built-up Area)1275 Former Base Vacant Area1276 Former Base Air FieldIndustrial1300 Industrial 1310 Light Industrial1311 Manufacturing, Assembly, and Industrial Services1312 Motion Picture and Television Studio Lots1313 Packing Houses and Grain Elevators1314 Research and Development1320 Heavy Industrial1321 Manufacturing1322 Petroleum Refining and Processing1323 Open Storage1324 Major Metal Processing1325 Chemical Processing1330 Extraction1331 Mineral Extraction - Other Than Oil and Gas1332 Mineral Extraction - Oil and Gas1340 Wholesaling and WarehousingTransportation, Communications, and Utilities1400 Transportation, Communications, and Utilities 1410 Transportation1411 Airports1412 Railroads1413 Freeways and Major Roads1414 Park-and-Ride Lots1415 Bus Terminals and Yards1416 Truck Terminals1417 Harbor Facilities1418 Navigation Aids1420 Communication Facilities1430 Utility Facilities1431 Electrical Power Facilities1432 Solid Waste Disposal Facilities1433 Liquid Waste Disposal Facilities1434 Water Storage Facilities1435 Natural Gas and Petroleum Facilities1436 Water Transfer Facilities 1437 Improved Flood Waterways and Structures1438 Mixed Utilities1440 Maintenance Yards1441 Bus Yards1442 Rail Yards1450 Mixed Transportation1460 Mixed Transportation and UtilityMixed Commercial and Industrial1500 Mixed Commercial and IndustrialMixed Residential and Commercial1600 Mixed Residential and Commercial 1610 Residential-Oriented Residential/Commercial Mixed Use 1620 Commercial-Oriented Residential/Commercial Mixed UseOpen Space and Recreation1800 Open Space and Recreation 1810 Golf Courses 1820 Local Parks and Recreation 1830 Regional Parks and Recreation 1840 Cemeteries 1850 Wildlife Preserves and Sanctuaries 1860 Specimen Gardens and Arboreta 1870 Beach Parks 1880 Other Open Space and Recreation 1890 Off-Street TrailsAgriculture2000 Agriculture2100 Cropland and Improved Pasture Land2110 Irrigated Cropland and Improved Pasture Land2120 Non-Irrigated Cropland and Improved Pasture Land2200 Orchards and Vineyards2300 Nurseries2400 Dairy, Intensive Livestock, and Associated Facilities2500 Poultry Operations2600 Other Agriculture2700 Horse RanchesVacant3000 Vacant3100 Vacant Undifferentiated3200 Abandoned Orchards and Vineyards3300 Vacant With Limited Improvements3400 Beaches (Vacant)1900 Urban VacantWater4000 Water4100 Water, Undifferentiated4200 Harbor Water Facilities4300 Marina Water Facilities4400 Water Within a Military Installation4500 Area of Inundation (High Water)Specific Plan7777 Specific PlanUnder Construction1700 Under ConstructionUndevelopable or Protected Land8888 Undevelopable or Protected LandUnknown9999 Unknown

  11. a

    CREST General Table

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Nov 8, 2019
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    Riverside County Mapping Portal (2019). CREST General Table [Dataset]. https://hub.arcgis.com/maps/CountyofRiverside::crest-general-table
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    Dataset updated
    Nov 8, 2019
    Dataset authored and provided by
    Riverside County Mapping Portal
    Area covered
    Description

    New CREST General Table to replace current General table from the Assessor.

  12. c

    BOE TRA 2024 co33

    • gis.data.ca.gov
    • hub.arcgis.com
    • +1more
    Updated May 31, 2024
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    California Department of Tax and Fee Administration (2024). BOE TRA 2024 co33 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::boe-tra-2024-co33
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    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in Riverside County for the specified assessment roll year. Boundary alignment is based on the 2017 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

  13. n

    Geologic Map of the Corona North 7.5' Quadrangle Riverside and San...

    • access.earthdata.nasa.gov
    Updated Apr 21, 2017
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    (2017). Geologic Map of the Corona North 7.5' Quadrangle Riverside and San Bernardino Counties, California, USGS OFR 02-22 [Dataset]. https://access.earthdata.nasa.gov/collections/C2231552842-CEOS_EXTRA
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    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 2002 - Dec 31, 2002
    Area covered
    Description

    The data set for the Corona North 7.5' quadrangle was prepared under the U.S. Geological Survey Southern California Areal Mapping Project (SCAMP) as part of an ongoing effort to develop a regional geologic framework of southern California, and to utilize a Geographic Information System (GIS) format to create regional digital geologic databases. These regional databases are being developed as contributions to the National Geologic Map Database of the National Cooperative Geologic Mapping Program of the USGS.

    This data set maps and describes the geology of the Corona North 7.5' quadrangle, Riverside and San Bernardino Counties, California. Created using Environmental Systems Research Institute's ARC/INFO software, the data base consists of the following items: (1) a map coverage containing geologic contacts and units, (2) a coverage containing structural data, (3) a coverage containing geologic unit annotation and leaders, and (4) attribute tables for geologic units (polygons), contacts (arcs), and site-specific data (points). In addition, the data set includes the following graphic and text products: (1) a postscript graphic plot-file containing the geologic map, topography, cultural data, a Correlation of Map Units (CMU) diagram, a Description of Map Units (DMU), and a key for point and line symbols, and (2) PDF files of the Readme (including the metadata file as an appendix), and the graphic produced by the Postscript plot file.

    The Corona North quadrangle is located near the northern end of the Peninsular Ranges Province. All but the southeastern tip of the quadrangle is within the Perris block, a relatively stable, rectangular in plan area located between the Elsinore and San Jacinto fault zones. The southeastern tip of the quadrangle is barely within the Elsinore fault zone.

    The quadrangle is underlain by Cretaceous plutonic rocks that are part of the composite Peninsular Ranges batholith. These rocks are exposed in a triangular-shaped area bounded on the north by the Santa Ana River and on the south by Temescal Wash, a major tributary of the Santa Ana River. A variety of mostly silicic granitic rocks occur in the quadrangle, and are mainly of monzogranite and granodioritic composition, but range in composition from micropegmatitic granite to gabbro. Most rock units are massive and contain varying amounts of meso- and melanocratic equant-shaped inclusions. The most widespread granitic rock is monzogranite of the Cajalco pluton, a large pluton that extends some distance south of the quadrangle. North of Corona is a body of micropegmatite that appears to be unique in the batholith rocks.

    Diagonally bisecting the quadrangle is the Santa Ana River. North of the Santa Ana River alluvial deposits are dominated by the distal parts of alluvial fans emanating from the San Gabriel Mountains north of the quadrangle. Widespread areas of the fan deposits are covered by a thin layer of wind blown sand.

    Alluvial deposits in the triangular-shaped area between the Santa Ana River and Temescal Wash are quite varied, but consist principally of locally derived older alluvial fan deposits. These deposits rest on remnants of older, early Quaternary or late Tertiary age, nonmarine sedimentary deposits that were derived from both local sources and sources as far away as the San Bernardino Mountains. These deposits in part were deposited by an ancestral Santa Ana River. Older are a few scattered remnants of late Tertiary (Pliocene) marine sandstone that include some conglomerate lenses. Clasts in the conglomerate include siliceous volcanic rocks exotic to this part of southern California. This sandstone was deposited as the southeastern-most part of the Los Angeles sedimentary marine basin and was deposited along a rocky shoreline developed in the granitic rocks, much like the present day shoreline at Monterey, California. Most of the sandstone and granitic paleoshoreline features have been removed by quarrying and grading in the area of Porphyry north to Highway 91. Excellent exposures in highway road cuts still remain on the north side of Highway 91 just east of the 91-15 interchange and on the east side of U.S. 15 just north of the interchange.

    South of Temescal Wash is a series of both younger and older alluvial fan deposits emanating from the Santa Ana Mountains to the southeast. In the immediate southwest corner of the quadrangle is a small exposure of sandstone and pebble conglomerate of the Sycamore Canyon member of the Puente Formation of early Pliocene and Miocene age and sandstone and conglomerate of undivided Sespe and Vaqueros Formations of early Miocene, Oligocene, and late Eocene age.

    The geologic map data base contains original U.S. Geological Survey data generated by detailed field observation recorded on 1:24,000 scale aerial photographs. The map was created by transferring lines from the aerial photographs to a 1:24,000 scale topographic base. The map was digitized and lines, points, and polygons were subsequently edited using standard ARC/INFO commands. Digitizing and editing artifacts significant enough to display at a scale of 1:24,000 were corrected. Within the database, geologic contacts are represented as lines (arcs), geologic units are polygons, and site-specific data as points. Polygon, arc, and point attribute tables (.pat, .aat, and .pat, respectively) uniquely identify each geologic datum.

  14. c

    Riverside 2023 Roll Year

    • gis.data.ca.gov
    • hub.arcgis.com
    • +1more
    Updated May 16, 2023
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    California Department of Tax and Fee Administration (2023). Riverside 2023 Roll Year [Dataset]. https://gis.data.ca.gov/maps/06fc4693e5fc479e9c68c6fd6ca85708
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    Dataset updated
    May 16, 2023
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    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

  15. d

    Geologic Map of the Riverside East 7.5' Quadrangle, Riverside County,...

    • search.dataone.org
    • data.wu.ac.at
    Updated Oct 29, 2016
    + more versions
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    Douglas M. Morton; Brett F. Cox (2016). Geologic Map of the Riverside East 7.5' Quadrangle, Riverside County, California [Dataset]. https://search.dataone.org/view/b164c5be-3c59-43c6-8820-f51902969925
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Douglas M. Morton; Brett F. Cox
    Area covered
    Variables measured
    DIP, SHD, LABL, NAME, LTYPE, PLABL, L-SYMB, P-SYMB, PTTYPE, SHDFIL, and 1 more
    Description

    This data set maps and describes the geology of the Riverside East 7.5' quadrangle, Riverside County, California. Created using Environmental Systems Research Institute's ARC/INFO software, the data base consists of the following items: (1) a map coverage containing geologic contacts and units, (2) a coverage containing structural data, (3) a coverage containing geologic unit annotation and leaders, and (4) attribute tables for geologic units (polygons), contacts (arcs), and site-specific data (points). In addition, the data set includes the following graphic and text products: (1) a postscript graphic plot-file containing the geologic map, topography, cultural data, a Correlation of Map Units (CMU) diagram, a Description of Map Units (DMU), and a key for point and line symbols, and (2) PDF files of the Readme (including the metadata file as an appendix), and the graphic produced by the Postscript plot file. The Riverside East quadrangle is located in the northern part of the Peninsular Ranges Province within the central part of the Perris block, a relatively stable, rectangular in plan area located between the Elsinore and San Jacinto fault zones. The quadrangle is underlain predominantly by Cretaceous plutonic rocks which are part of the composite Peninsular Ranges batholith. Within the quadrangle, the batholithic rocks represent a wide variety of mafic to intermediate composition granitic rocks ranging in composition from monzogranite to gabbro, but tonalite predominates. Most of the granitic rocks are faintly to intensely foliated. Many are heterogenous and contain varying amounts of meso-and melanocratic discoidal-shaped inclusions. Some rock is composed almost wholly of inclusion material and some are migmatitic. Included within these granitic rocks are a few septa of Paleozoic(?) biotite schist, marble, and calcsilicate rock of upper amphibolite metamorphic grade. Metamorphic rocks of Paleozoic(?) age occur primarily in the northwest part of the quadrangle. These rocks include coarse-grained marble bodies that have been quarried in the past. North Hill, at the northwest corner of the quadrangle is the site of the 'Old City' quarry, where tonalite intrudes marble producing pyroxene-hornfels grade garnet-pyroxene skarn. South of Riverside several disconnected bodies of marble, impure quartzite, and calcsilicate rock were quarried at the 'New City' (Victoria Ave) quarry. There, the thicker of the two marble bodies was quarried exposing skarn developed at a contact between the marble and intrusive biotite-hornblende tonalite. The composition of the skarn is highly varied and includes pyroxene-grarnet, idocrase, scapolite-pyroxene, and magnetite-pageite skarns. Biotite-hornblende tonalite of the relatively large Val Verde pluton dominates the quadrangle west of Interstate 215. In most places this tonalite has a northwest oriented crude to well developed planar fabric produced by oriented biotite and hornblende. In the northern part of the pluton northeast striking planar fabric dominates. Schlieren and massive clots of mafic tonalite occur locally. Discoidal-to pancake-shaped mafic inclusions are widespread and are oriented in the plane of the biotite and hornblende. Typically, the planar fabric dips moderately to the northeast, but is locally horizontal to subhorizontal or grades to an isotropic fabric. Granitic rocks in the northeastern part of the quadrangle are part of the Box Springs plutonic complex. This composite intrusion is an elliptical, flat-floored granitic complex centered on the Box Springs Mountains. The exposed part of the complex is apparently the lower part of a granitic diapir. In the center of the complex massive to indistinctly primarily layered biotite tonalite grades outward into well foliated biotite tonalite. Further outward the rocks are a heterogeneous assemblage of primarily granodioritic plutonic rocks. The geologic map data base contains original U.S. Geological Survey data generated by detailed field observation recorded on 1:24,000 scale aerial photographs. The map was created by transferring lines from the aerial photographs to a 1:24,000 scale topographic base. The map was digitized and lines, points, and polygons were subsequently edited using standard ARC/INFO commands. Digitizing and editing artifacts significant enough to display at a scale of 1:24,000 were corrected. Within the database, geologic contacts are represented as lines (arcs), geologic units are polygons, and site-specific data as points. Polygon, arc, and point attribute tables (.pat, .aat, and .pat, respectively) uniquely identify each geologic datum.

  16. a

    Water Map Sheet Index

    • geodata-cityofriverside.opendata.arcgis.com
    Updated Apr 6, 2023
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    City of Riverside, CA (2023). Water Map Sheet Index [Dataset]. https://geodata-cityofriverside.opendata.arcgis.com/datasets/water-map-sheet-index
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    Dataset updated
    Apr 6, 2023
    Dataset authored and provided by
    City of Riverside, CA
    License

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

    Area covered
    Description

    City of Riverside Open Data for use in the city.

  17. Utility Solar Generation by Type and County: 2020

    • catalog.data.gov
    • data.cnra.ca.gov
    • +4more
    Updated Jul 24, 2025
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    California Energy Commission (2025). Utility Solar Generation by Type and County: 2020 [Dataset]. https://catalog.data.gov/dataset/utility-solar-generation-by-type-and-county-2020-ab9ec
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

    Solar electrical generation data is reported for commercial power plants: those with a nameplate capacity of 1 MW or more. Counties in gray reported no generation in 2020. San Bernardino and Riverside county had solar thermal electric generation. Map and data from the California Energy Commission. Data is classified using the Jenk’s Natural Break’s method. Data is current as of November 22, 2021. Contact Rebecca Vail at (916)651- 0477 or John Hingtgen at (916) 510-9747 with questions.

  18. i08 FaultCrossings StateWaterProject

    • gis.data.cnra.ca.gov
    • data.ca.gov
    • +6more
    Updated May 17, 2024
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    Carlos.Lewis@water.ca.gov_DWR (2024). i08 FaultCrossings StateWaterProject [Dataset]. https://gis.data.cnra.ca.gov/datasets/50a94db621764d778bee19ff900a05fa
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    Dataset updated
    May 17, 2024
    Dataset provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Authors
    Carlos.Lewis@water.ca.gov_DWR
    Area covered
    Description

    Approximate locations of faults crossing the California Aqueduct, Coastal Branch, North Bay Aqueduct, and South Bay Aqueduct. Taken from "State Water Project, California Aqueduct Fault Crossings" report (PG Report 50-00-06) and supplemental maps (PG Report 50-00-06A) dated November 18, 1965. Fault crossings were collected before and during construction of the State Water Project (SWP) to inform design, and have been compiled in this database for future use in repairs and design. This compilation covers the SWP from North of San Francisco Bay in Solano County to Riverside County, and includes the California Aqueduct, North and South Bay Aqueducts, Coastal Branch, and West Branch.

  19. a

    Riverside County 2012 State

    • gisopendata-countyofriverside.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 2, 2021
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    Riverside County Mapping Portal (2021). Riverside County 2012 State [Dataset]. https://gisopendata-countyofriverside.opendata.arcgis.com/datasets/3ba413f1ac7e4d2fa754c97ae572f5c1
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    Dataset updated
    Mar 2, 2021
    Dataset authored and provided by
    Riverside County Mapping Portal
    Area covered
    Description

    Riverside County 2012 images. 1 foot resolution. Projected to California State Plane Zone VI

  20. d

    Data from: Geologic map and digital database of the San Bernardino Wash 7.5...

    • search.dataone.org
    • data.doi.gov
    • +1more
    Updated Oct 29, 2016
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    Robert E. Powell (2016). Geologic map and digital database of the San Bernardino Wash 7.5 minute quadrangle, Riverside County, California [Dataset]. https://search.dataone.org/view/724e6948-9413-4ce0-a8d3-b67514466cbc
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Robert E. Powell
    Time period covered
    Jan 1, 1964 - Jan 1, 2002
    Area covered
    Variables measured
    AGE, SLIP, SYMB, ANGLE, BASIS, SOURCE, FLTNAME, FLT_SEG, MOD_SEQ, AGE_PREF, and 36 more
    Description

    This data set maps and describes the geology of the San Bernardino Wash 7.5 minute quadrangle, Riverside County, southern California. The quadrangle, situated in Joshua Tree National Park in the eastern Transverse Ranges physiographic and structural province, encompasses parts of the northwestern Eagle Mountains, east-central Pinto Basin, and eastern Pinto Mountains. The quadrangle is underlain by a basement terrane comprising metamorphosed Proterozoic strata, Mesozoic plutonic rocks, and Jurassic and Mesozoic and (or) Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Pinto and Eagle Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, a cover of Miocene sedimentary deposits and basalt overlie the erosion surface. A sequence of at least three Quaternary pediments is planed into the north piedmont of the Eagle Mountains, each in turn overlain by successively younger residual and alluvial, surficial deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults in the Pinto and Eagle Mountains and an east-west trending system of high-angle dip- and left-slip faults along the range fronts facing Pinto Basin. In and around the San Bernardino Wash quadrangle, faults of the north-northwest-trending set displace Miocene sedimentary rocks and basalt deposited on the Tertiary erosion surface and some of the faults may offset Pliocene and (or) Pleistocene deposits that accumulated on the oldest pediment. Faults of this system appear to be overlain by Pleistocene deposits that accumulated on younger pediments. East-west trending faults are younger than and perhaps in part coeval with faults of the northwest-trending set. The San Bernardino Wash database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database comprises five coverages: (1) a geologic layer showing the distribution of geologic contacts and units; (2) a structural layer showing the distribution of faults (arcs) and fault ornamentation data (points); (3) a layer showing the distribution of dikes (arcs); a structural point data layer showing (4) bedding and metamorphic foliation attitudes, and (5) cartographic map elements, including unit label leaders and geologic unit annotation. The dataset also includes a scanned topographic base at a scale of 1:24,000. Within the database coverages, geologic contacts , faults, and dikes are represented as lines (arcs and routes), geologic units as areas (polygons and regions), and site-specific data as points. Polygon, region, arc, route, and point attribute tables uniquely identify each geologic datum and link it to descriptive tables that provide more detailed geologic information. The digital database is accompanied by two derivative maps: (1) A portable document file (.pdf) containing a navigable graphic of the geologic map on a 1:24,000 topographic base and (2) a PostScript graphic-file containing the geologic map on a 1:24,000 topographic base. Each of these map products is accompanied by a marginal explanation consisting of a Description of Map Units (DMU), a Correlation of Map Units (CMU), and a key to point and line symbols. The database is further accompanied by three document files: (1) a readme that lists the contents of the database and describes how to access it, (2) a pamphlet file that describes the geology of the quadrangle and (3) this metadata file.

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WMWD (2021). Riverside County - Map My County [Dataset]. https://gis-wmwd.hub.arcgis.com/documents/576b6a0f573845c19effc87f54b9af68

Riverside County - Map My County

Explore at:
Dataset updated
Mar 12, 2021
Dataset authored and provided by
WMWD
Area covered
Riverside County
Description

Riverside County's GIS web viewer that supplies various datasets containing parcel, transportation, environmental, and boundary layers and more.

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