This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.
This is SCAG’s 2019 city boundary data (v.1.0), updated as of July 6, 2021, including the boundaries for each of the 191 cities and 6 county unincorporated areas in the SCAG region. The original city boundary data was obtained from county LAFCOs to reflect the most current updates and annexations to the city boundaries. This data will be further reviewed and updated as SCAG continues to receive feedbacks from LAFCOs, subregions and local jurisdictions.Data-field description:COUNTY: County name COUNTY_ID: County FIPS CodeCITY: City NameCITY_ID: City FIPS CodeACRES: Area in acresSQMI: Area in square milesYEAR: Dataset year
This dataset contains the county boundaries that make up the Southern California Association of Governments service area. These county boundaries are consistent with the LAFCO city boundaries as of 08/2016 (Ver. 1.0).
https://www.icpsr.umich.edu/web/ICPSR/studies/2913/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2913/terms
The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological
This digital map database represents the general distribution of bedrock and surficial geologic units, and related data in the Fonts Point and Seventeen Palms 7.5’ quadrangles, California. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. This investigation delineates the geologic framework of an area of 75 square kilometers (km2) located west of the Salton Sea in southern California. The study area encompasses the south flank of the Santa Rosa Mountains and the eastern part of the Borrego Badlands. In this study area, regionally important stratigraphic and structural elements collectively inform the late Cenozoic geologic evolution of the Anza-Borrego sector of the Salton Trough province. This geodatabase contains all of the map information used to publish the Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California Pettinga, J.R., Dudash, S.L., and Cossette, P.M., 2023, Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern California: U.S. Geological Survey Open-File Report 2023–1076, scale 1:12,000, https://doi.org/10.3133/ofr20231076.
This map shows cases broken down by the county level and city level in Southern California.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Except as provided in Section 366, bear may be taken only as follows:(a) Areas:(1) Northern California: In the counties of Del Norte, Humboldt, Plumas, Shasta, Siskiyou, Tehama and Trinity; and those portions of Lassen and Modoc counties west of the following line: Beginning at Highway 395 and the Sierra-Lassen county line; north on Highway 395 to the junction of Highway 36; west on Highway 36 to the junction of Highway 139; north on Highway 139 to Highway 299; north on Highway 299 to County Road 87; west on County Road 87 to Lookout-Hackamore Road; north on Lookout-Hackamore Road to Highway 139; north on Highway 139 to the Modoc-Siskiyou county line; north on the Modoc-Siskiyou county line to the Oregon border.(2) Central California: In the counties of Alpine, Amador, Butte, Calaveras, Colusa, El Dorado, Glenn, Lake, Mendocino, Nevada, Placer, Sacramento, Sierra, Sutter, Yolo and Yuba and those portions of Napa and Sonoma counties northeast of Highway 128.(3) Southern Sierra: That portion of Kern County west of Highway 14 and east of the following line: Beginning at the intersection of Highway 99 and the Kern-Tulare county line; south on Highway 99 to Highway 166; west and south on Highway 166 to the Kern-Santa Barbara county line; and those portions of Fresno, Madera, Mariposa, Merced, Stanislaus, Tulare and Tuolumne counties east of Highway 99.(4) Southern California: In the counties of Los Angeles, Santa Barbara and Ventura; that portion of Riverside County north of Interstate 10 and west of Highway 62; and that portion of San Bernardino County south and west of the following line: Beginning at the intersection of Highway 18 and the Los Angeles-San Bernardino county line; east along Highway 18 to Highway 247; southeast on Highway 247 to Highway 62; southwest along Highway 62 to the Riverside-San Bernardino county line.(5) Southeastern Sierra: Those portions of Inyo and Mono counties west of Highway 395; and that portion of Madera County within the following line: Beginning at the junction of the Fresno-Madera-Mono county lines; north and west along the Madera-Mono county line to the boundary of the Inyo-Sierra National Forest; south along the Inyo-Sierra National Forest boundary to the Fresno-Madera county line; north and east on the Fresno-Madera county line to the point of beginning. Also, that portion of Inyo county west of Highway 395; and that portion of Mono county beginning at the intersection of Highway 6 and the Mono county line; north along Highway 6 to the Nevada state line; north along the Nevada state line to the Alpine county line; south along the Mono-Alpine county line to the Mono-Tuolumne county line and the Inyo National Forest Boundary; south along the Inyo National Forest Boundary to the Inyo-Sierra Forest boundary; south along the Inyo-Sierra Forest boundary to the Fresno-Madera county line; north and east along the Fresno-Madera county line to the junction of the Fresno-Madera-Mono county line; south along the Mono-Fresno county line to the Mono-Inyo County line; east along the Mono-Inyo county line to the point of beginning.
This digital geologic and tectonic database of the Death Valley ground-water model area, as well as its accompanying geophysical maps, are compiled at 1:250,000 scale. The map compilation presents new polygon, line, and point vector data for the Death Valley region. The map area is enclosed within a 3 degree X 3 degree area along the border of southern Nevada and southeastern California. In addition to the Death Valley National Park and Death Valley-Furnace Creek fault systems, the map area includes the Nevada Test Site, the southwest Nevada volcanic field, the southern end of the Walker Lane (from southern Esmeralda County, Nevada, to the Las Vegas Valley shear zone and Stateline fault system in Clark County, Nevada), the eastern California shear zone (in the Cottonwood and Panamint Mountains), the eastern end of the Garlock fault zone (Avawatz Mountains), and the southern basin and range (central Nye and western Lincoln Counties, Nevada). This geologic map improves on previous geologic mapping in the area by providing new and updated Quaternary and bedrock geology, new interpretation of mapped faults and regional structures, new geophysical interpretations of faults beneath the basins, and improved GIS coverages. The basic geologic database has tectonic interpretations imbedded within it through attributing of structure lines and unit polygons which emphasize significant and through-going structures and units. An emphasis has been put on features which have important impacts on ground-water flow. Concurrent publications to this one include a new isostatic gravity map (Ponce and others, 2001), a new aeromagnetic map (Ponce and Blakely, 2001), and contour map of depth to basement based on inversion of gravity data (Blakely and Ponce, 2001).
This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain, TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Maxar's Precision3D covering parts of the globe.Topography sources listed in the table below are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only. Data Source Native Pixel Size Approximate Pixel Size (meters) Coverage Primary Source Country/Region
Topography
Australia 1m 1 meter 1 Partial areas of Australia Geoscience Australia Australia
Moreton Bay, Australia 1m 1 meter 1 Moreton Bay region, Australia Moreton Bay Regional Council Australia
New South Wales, Australia 5m 5 meters 5 New South Wales State, Australia DFSI Australia
SRTM 1 arc second DEM-S 0.0002777777777779 degrees 31 Australia Geoscience Australia Australia
Burgenland 50cm 0.5 meters 0.5 Burgenland State, Austria Land Burgenland Austria
Upper Austria 50cm 0.5 meters 0.5 Upper Austria State, Austria Land Oberosterreich Austria
Austria 1m 1 meter 1 Austria BEV Austria
Austria 10m 10 meters 10 Austria BEV Austria
Wallonie 50cm 0.5 meters 0.5 Wallonie state, Belgium Service public de Wallonie (SPW) Belgium
Vlaanderen 1m 1 meter 1 Vlaanderen state, Belgium agentschap Digitaal Vlaanderen Belgium
Canada HRDEM 1m 1 meter 1 Partial areas of Canada Natural Resources Canada Canada
Canada HRDEM 2m 2 meter 2 Partial areas of the southern part of Canada Natural Resources Canada Canada
Denmark 40cm 0.4 meters 0.4 Denmark KDS Denmark
Denmark 10m 10 meters 10 Denmark KDS Denmark
England 1m 1 meter 1 England Environment Agency England
Estonia 1m 1 meter 1 Estonia Estonian Land Board Estonia
Estonia 5m 5 meters 5 Estonia Estonian Land Board Estonia
Estonia 10m 10 meters 10 Estonia Estonian Land Board Estonia
Finland 2m 2 meters 2 Finland NLS Finland
Finland 10m 10 meters 10 Finland NLS Finland
France 1m 1 meter 1 France IGN-F France
Bavaria 1m 1 meter 1 Bavaria State, Germany Bayerische Vermessungsverwaltung Germany
Berlin 1m 1 meter 1 Berlin State, Germany Geoportal Berlin Germany
Brandenburg 1m 1 meter 1 Brandenburg State, Germany GeoBasis-DE/LGB Germany
Hamburg 1m 1 meter 1 Hamburg State, Germany LGV Hamburg Germany
Hesse 1m 1 meter 1 Hesse State, Germany HVBG Germany
Nordrhein-Westfalen 1m 1 meter 1 Nordrhein-Westfalen State, Germany Land NRW Germany
Saxony 1m 1 meter 1 Saxony State, Germany Landesamt für Geobasisinformation Sachsen (GeoSN) Germany
Sachsen-Anhalt 2m 2 meters 2 Sachsen-Anhalt State, Germany LVermGeo LSA Germany
Hong Kong 50cm 0.5 meters 0.5 Hong Kong CEDD Hong Kong SAR
Italy TINITALY 10m 10 meters 10 Italy INGV Italy
Japan DEM5A *, DEM5B * 0.000055555555 degrees 5 Partial areas of Japan GSI Japan
Japan DEM10B * 0.00011111111 degrees 10 Japan GSI Japan
Latvia 1m 1 meters 1 Latvia Latvian Geospatial Information Agency Latvia
Latvia 10m 10 meters 10 Latvia Latvian Geospatial Information Agency Latvia
Latvia 20m 20 meters 20 Latvia Latvian Geospatial Information Agency Latvia
Lithuania 1m 1 meters 1 Lithuania NZT Lithuania
Lithuania 10m 10 meters 10 Lithuania NZT Lithuania
Netherlands (AHN3/AHN4) 50cm 0.5 meters 0.5 Netherlands AHN Netherlands
Netherlands (AHN3/AHN4) 10m 10 meters 10 Netherlands AHN Netherlands
New Zealand 1m 1 meters 1 Partial areas of New Zealand Land Information New Zealand (Sourced from LINZ. CC BY 4.0) New Zealand
Northern Ireland 10m 10 meters 10 Northern Ireland OSNI Northern Ireland
Norway 10m 10 meters 10 Norway NMA Norway
Poland 1m 1 meter 1 Partial areas of Poland GUGIK Poland
Poland 5m 5 meters 5 Partial areas of Poland GUGIK Poland
Scotland 1m 1 meter 1 Partial areas of Scotland Scottish Government et.al Scotland
Slovakia 1m 1 meter 1 Slovakia ÚGKK SR Slovakia
Slovakia 10m 10 meters 10 Slovakia GKÚ Slovakia
Slovenia 1m 1 meter 1 Slovenia ARSO Slovenia
Madrid City 1m 1 meter 1 Madrid city, Spain Ayuntamiento de Madrid Spain
Spain 2m (MDT02 2019 CC-BY 4.0 scne.es) 2 meters 2 Partial areas of Spain IGN Spain
Spain 5m 5 meters 5 Spain IGN Spain
Spain 10m 10 meters 10 Spain IGN Spain
Varnamo 50cm 0.5 meters 0.5 Varnamo municipality, Sweden Värnamo Kommun Sweden
Canton of Basel-Landschaft 25cm 0.25 meters 0.25 Canton of Basel-Landschaft, Switzerland Geoinformation Kanton Basel-Landschaft Switzerland
Grand Geneva 50cm 0.5 meters 0.5 Grand Geneva metropolitan, France/Switzerland SITG Switzerland and France
Switzerland swissALTI3D 50cm 0.5 meters 0.5 Switzerland and Liechtenstein swisstopo Switzerland and Liechtenstein
Switzerland swissALTI3D 10m 10 meters 10 Switzerland and Liechtenstein swisstopo Switzerland and Liechtenstein
OS Terrain 50 50 meters 50 United Kingdom Ordnance Survey United Kingdom
Douglas County 1ft 1 foot 0.3048 Douglas County, Nebraska, USA Douglas County NE United States
Lancaster County 1ft 1 foot 0.3048 Lancaster County, Nebraska, USA Lancaster County NE United States
Sarpy County 1ft 1 foot 0.3048 Sarpy County, Nebraska, USA Sarpy County NE United States
Cook County 1.5 ft 1.5 foot 0.46 Cook County, Illinois, USA ISGS United States
3DEP 1m 1 meter 1 Partial areas of the conterminous United States, Puerto Rico USGS United States
NRCS 1m 1 meter 1 Partial areas of the conterminous United States NRCS USDA United States
San Mateo County 1m 1 meter 1 San Mateo County, California, USA San Mateo County CA United States
FEMA LiDAR DTM 3 meters 3 Partial areas of the conterminous United States FEMA United States
NED 1/9 arc second 0.000030864197530866 degrees 3 Partial areas of the conterminous United States USGS United States
3DEP 5m 5 meter 5 Alaska, United States USGS United States
NED 1/3 arc second 0.000092592592593 degrees 10 conterminous United States, Hawaii, Alaska, Puerto Rico, and Territorial Islands of the United States USGS United States
NED 1 arc second 0.0002777777777779 degrees 31 conterminous United States, Hawaii, Alaska, Puerto Rico, Territorial Islands of the United States; Canada and Mexico USGS United States
NED 2 arc second 0.000555555555556 degrees 62 Alaska, United States USGS United States
Wales 1m 1 meter 1 Wales Welsh Government Wales
WorldDEM4Ortho 0.00022222222 degrees 24 Global (excluding the countries of Azerbaijan, DR Congo and Ukraine) Airbus Defense and Space GmbH World
SRTM 1 arc second 0.0002777777777779 degrees 31 all land areas between 60 degrees north and 56 degrees south except Australia NASA World
EarthEnv-DEM90 0.00083333333333333 degrees 93 Global N Robinson,NCEAS World
SRTM v4.1 0.00083333333333333 degrees 93 all land areas between 60 degrees north and 56 degrees south except Australia CGIAR-CSI World
GMTED2010 7.5 arc second 0.00208333333333333 degrees 232 Global USGS World
GMTED2010 15 arc second 0.00416666666666666 degrees 464 Global USGS World
GMTED2010 30 arc second 0.0083333333333333 degrees 928 Global USGS World
Bathymetry
Canada west coast 10 meters 10 Canada west coast Natural Resources Canada Canada
Gulf of Mexico 40 feet 12 Northern Gulf of Mexico BOEM Gulf of Mexico
MH370 150 meters 150 MH370 flight search area (Phase 1) of Indian Ocean Geoscience Australia Indian Ocean
Switzerland swissBATHY3D 1 - 3 meters 1, 2, 3 Lakes of Switzerland swisstopo Switzerland
NCEI 1/9 arc second 0.000030864197530866 degrees 3 Puerto Rico, U.S Virgin Islands and partial areas of eastern and western United States coast NOAA NCEI United States
NCEI 1/3 arc second 0.000092592592593 degrees 10 Partial areas of eastern and western United States coast NOAA NCEI United States
CRM 1 arc second (Version 2) 0.0002777777777779 degrees 31 Southern California coast of United States NOAA United States
NCEI 1 arc second 0.0002777777777779 degrees 31 Partial areas of northeastern United States coast NOAA NCEI United States
CRM 3 arc second 0.00083333333333333 degrees 93 United States Coast NOAA United States
NCEI 3 arc second 0.00083333333333333 degrees 93 Partial areas of northeastern United States coast NOAA NCEI United States
Power Outages by County
description: This data set maps and describes the geology of the Cucamonga Peak 7.5' quadrangle, San Bernardino County, California. Created using Environmental Systems Research Institute's ARC/INFO software, the database consists of the following items: (1) a map coverage containing geologic contacts and units, (2) a coverage containing site-specific structural data, (3) a coverage containing geologic-unit label leaders and their associated 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), an index map, a regional geologic and structure map, and a key for point and line symbols; (2) PDF files of this Readme (including the metadata file as an appendix) and the graphic produced by the PostScript plot file. The Cucamonga Peak quadrangle includes part of the boundary between two major physiographic provinces of California, the Transverse Ranges Province to the north and the Peninsular Ranges Province to the south. The north part of the quadrangle is in the eastern San Gabriel Mountains, and the southern part includes an extensive Quaternary alluvial-fan complex flanking the upper Santa Ana River valley, the northernmost part of the Peninsular Ranges Province. Thrust faults of the active Cucamonga Fault zone along the the south margin of the San Gabriel Mountains are the rejuvenated eastern terminus of a major old fault zone that bounds the south side of the western and central Transverse Ranges (Morton and Matti, 1993). Rejuvenation of this old fault zone, including the Cucamonga Fault zone, is apparently in response to compression in the eastern San Gabriel Mountains resulting from initiation of right-lateral slip on the San Jacinto Fault zone in the Peninsular Ranges. Within the northern part of the quadrangle are several arcuate-in-plan faults that are part of an antiformal, schuppen-like fault complex of the eastern San Gabriel Mountains. Most of these arcuate faults are reactivated and deformed older faults that probably include the eastern part of the San Gabriel Fault. The structural grain within the San Gabriel Mountains, as defined by basement rocks, is generally east striking. Within the Cucamonga Peak quadrangle, these basement rocks include a Paleozoic schist and gneiss sequence which occurs as large, continuous and discontinuous bodies intruded by Cretaceous granitic rocks. Most of the granitic rocks are of tonalitic composition, and many are mylonitic. South of the granitic rocks is a comple assemblage of Proterozoic(?) metamorphic rocks, at least part of which is metasedimentary. This assemblage is intruded by Cretaceous tonalite on its north side, and by charnockitic rocks near the center of the mass. The charnockitic rocks are in contact with no other Cretaceous granitic rocks. Consequently, their relative position in the intrusive sequence is unknown. The Proterozoic(?) assemblage was metamorphosed to upper amphibolite and lower granulite grade, and subsequently to a lower metamorphic grade. It is also intensely deformed by mylonitization characterized by an east-striking, north-dipping foliation, and by a pronounced subhorizontal lineation that plunges shallowly east and west. The southern half of the quadrangle is dominated by extensive, symmetrical alluvial-fan complexes, particularly two emanating from Day and Deer Canyons. Other Quaternary units ranging from early Pleistocene to recent are mapped, and represent alluvial-fan, landslide, talus, and wash environments. The geologic map database contains original U.S. Geological Survey data generated by detailed field observation and by interpretation of aerial photographs. This digital Open-File map supercedes an older analog Open-File map of the quadrangle, and includes extensive new data on the Quaternary deposits, and revises some fault and bedrock distribution within the San Gabriel Mountains. The digital map was compiled on a base-stable cronoflex copy of the Cucamonga Peak 7.5' topographic base and then scribed. This scribe guide was used to make a 0.007 mil blackline clear-film, from which lines and point were hand digitized. Lines, points, and polygons were subsequently edited at the USGS 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 as polygons, and site-specific data as points. Polygon, arc, and point attribute tables (.pat, .aat, and .pat, respectively) uniquely identify each geologic datum.; abstract: This data set maps and describes the geology of the Cucamonga Peak 7.5' quadrangle, San Bernardino County, California. Created using Environmental Systems Research Institute's ARC/INFO software, the database consists of the following items: (1) a map coverage containing geologic contacts and units, (2) a coverage containing site-specific structural data, (3) a coverage containing geologic-unit label leaders and their associated 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), an index map, a regional geologic and structure map, and a key for point and line symbols; (2) PDF files of this Readme (including the metadata file as an appendix) and the graphic produced by the PostScript plot file. The Cucamonga Peak quadrangle includes part of the boundary between two major physiographic provinces of California, the Transverse Ranges Province to the north and the Peninsular Ranges Province to the south. The north part of the quadrangle is in the eastern San Gabriel Mountains, and the southern part includes an extensive Quaternary alluvial-fan complex flanking the upper Santa Ana River valley, the northernmost part of the Peninsular Ranges Province. Thrust faults of the active Cucamonga Fault zone along the the south margin of the San Gabriel Mountains are the rejuvenated eastern terminus of a major old fault zone that bounds the south side of the western and central Transverse Ranges (Morton and Matti, 1993). Rejuvenation of this old fault zone, including the Cucamonga Fault zone, is apparently in response to compression in the eastern San Gabriel Mountains resulting from initiation of right-lateral slip on the San Jacinto Fault zone in the Peninsular Ranges. Within the northern part of the quadrangle are several arcuate-in-plan faults that are part of an antiformal, schuppen-like fault complex of the eastern San Gabriel Mountains. Most of these arcuate faults are reactivated and deformed older faults that probably include the eastern part of the San Gabriel Fault. The structural grain within the San Gabriel Mountains, as defined by basement rocks, is generally east striking. Within the Cucamonga Peak quadrangle, these basement rocks include a Paleozoic schist and gneiss sequence which occurs as large, continuous and discontinuous bodies intruded by Cretaceous granitic rocks. Most of the granitic rocks are of tonalitic composition, and many are mylonitic. South of the granitic rocks is a comple assemblage of Proterozoic(?) metamorphic rocks, at least part of which is metasedimentary. This assemblage is intruded by Cretaceous tonalite on its north side, and by charnockitic rocks near the center of the mass. The charnockitic rocks are in contact with no other Cretaceous granitic rocks. Consequently, their relative position in the intrusive sequence is unknown. The Proterozoic(?) assemblage was metamorphosed to upper amphibolite and lower granulite grade, and subsequently to a lower metamorphic grade. It is also intensely deformed by mylonitization characterized by an east-striking, north-dipping foliation, and by a pronounced subhorizontal lineation that plunges shallowly east and west. The southern half of the quadrangle is dominated by extensive, symmetrical alluvial-fan complexes, particularly two emanating from Day and Deer Canyons. Other Quaternary units ranging from early Pleistocene to recent are mapped, and represent alluvial-fan, landslide, talus, and wash environments. The geologic map database contains original U.S. Geological Survey data generated by detailed field observation and by interpretation of aerial photographs. This digital Open-File map supercedes an older analog Open-File map of the quadrangle, and includes extensive new data on the Quaternary deposits, and revises some fault and bedrock distribution within the San Gabriel Mountains. The digital map was compiled on a base-stable cronoflex copy of the Cucamonga Peak 7.5' topographic base and then scribed. This scribe guide was used to make a 0.007 mil blackline clear-film, from which lines and point were hand digitized. Lines, points, and polygons were subsequently edited at the USGS 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 as polygons, and site-specific data as points. Polygon, arc, and point attribute tables (.pat, .aat, and .pat, respectively) uniquely identify each geologic datum.
This geodatabase includes the boundaries of the California Natural Resource Agency’s State Conservancies. The collection of the State Conservancies boundaries was initiated in January 2012 by the Sierra Nevada Conservancy, and the geodatabase was updated in 2022 to include Sierra Nevada Conservancy boundary expansion. The geodatabase was constructed from GIS data requested from each of the State Conservancies. The following documentation describes the contacts who provided data, and where available, the type of spatial information provided. Baldwin Hills Conservancy: A shapefile of the Baldwin Hills Conservancy boundary was requested and received from Amanda Recinos, amanda@greeninfo.org, of GreenInfo Network on behalf of the Executive Officer of the Baldwin Hills Conservancy, David McNeill, on 10 January 2012. This boundary has not been modified from the original boundary provided. California State Coastal Conservancy: The California State Coastal Conservancy was updated by San Jenniches, sjenniches@scc.ca.gov, of the Coastal Conservancy in Fiscal Year 2014-2015. The SNC did not receive the boundary directly from the Coastal Conservancy; the feature class was provided by Nickolas Perez, Nickolas.Perez@water.ca.gov, of the California Natural Resources Agency to the SNC on 30 April 2015. Coachella Valley Mountains Conservancy: A shapefile of the Coachella Valley Mountains Conservancy boundary was requested and received fromKerrie Godrey, kgodfrey@cvmc.ca.gov, of the Coachella Valley Mountains Conservancy on 10 January 2012. This boundary has not been modified from the original boundary provided. Delta Conservancy: A shapefile of the legal Delta and Suisun Marsh boundaries were provided by Elisa Sabatina with the Delta Conservancy, Elisa.Sabatini@deltaconservancy.ca.gov, on 10 January 2012. This boundary has not been modified from the original boundary provided. Rivers and Mountains Conservancy (San Gabriel/Lower LA): A shapefile of the Rivers and Mountains Conservancy was provided by Luz Torres, ltorres@rmc.ca.gov, of the Rivers and Mountains Conservancy on 10 January 2012. This boundary has not been modified from the original boundary provided. San Diego River Conservancy: Michael Nelson, mnelson@sdrc.ca.gov, the Executive Officer of the San Diego River Conservancy reported via email on 11 January 2012 that no prior GIS boundary existed for the Conservancy. Mr. Nelson provided written consent to the SNC, via an email dated 11 January 2012, to develop the San Diego River Conservancy GIS boundary from a PDF document supplied by Mr. Nelson that showed the general location of the San Diego River Conservancy’s boundary as occupying a one half mile buffer from the San Diego River. This boundary has not been modified from the original boundary provided. San Joaquin River Conservancy: The San Joaquin River Conservancy boundary was created from using both the legislation description of the boundary and a pdf version of the San Joaquin River Conservancy boundary provided by Marile Colindres, marile.colindres@sjrc.ca.gov, of the San Joaquin Conservancy on 24 February 2012. This boundary has not been modified from the since the creation of the boundary from the legal description in 2012. Santa Monica Mountains Conservancy: The SNC was not able to acquire GIS data from the Santa Monica Mountains Conservancy staff; therefore, the SNC created a boundary to represent the Santa Moninca Mountains Conservancy by using the description of the Conservancy from their website. Specifically, the SNC used the text from their website to select watersheds for GIS boundary: “the Santa Monica Mountains Conservancy zone covers an area from the edge of the Mojave Desert to the Pacific Ocean. The zone encompasses the whole of the Santa Monica Mountains, the Simi Hills, the Verdugo Mountains and significant portions of the Santa Susana and San Gabriel Mountains. In addition, the Mountains Recreation and Conservation Authority also owns or manages thousands of acres in the Sierra Pelona Mountains and in the Whittier-Puente Hills. From north to south, these areas drain into the Santa Clara River, Calleguas Creek, numerous smaller coastal watersheds in the Santa Monica Mountains, and the Los Angeles River and Rio Hondo.The Sierra Nevada Conservancy (SNC) boundary was mapped to correspond with statute AB 2600 (2004) and as re-defined in SB 208 (2022). Work on the boundary was completed by CalFire, GreenInfo Network, and the California Department of Fish and Game. Meets and bounds description of the area as defined in statute: PRC Section 33302 (f) defines the Sierra Nevada Region as the area lying within the Counties of Alpine, Amador, Butte, Calaveras, El Dorado, Fresno, Inyo, Kern, Lassen, Madera, Mariposa, Modoc, Mono, Nevada, Placer, Plumas, Shasta, Sierra, Siskiyou, Tehama, Trinity, Tulare, Tuolumne, and Yuba, described as the area bounded as follows: On the east by the eastern boundary of the State of California; the crest of the White/Inyo ranges; and State Routes 395 and 14 south of Olancha; on the south by State Route 58, Tehachapi Creek, and Caliente Creek; on the west by the line of 1,250 feet above sea level from Caliente Creek to the Kern/Tulare County line; the lower level of the western slope’s blue oak woodland, from the Kern/Tulare County line to the Sacramento River near the mouth of Seven-Mile Creek north of Red Bluff; the Sacramento River from Seven-Mile Creek north to Cow Creek below Redding; Cow Creek, Little Cow Creek, Dry Creek, and up to the southern boundary of the Pit River watershed where Bear Creek Mountain Road and Dry Creek Road intersect; the southern boundary of the Pit River watershed; the western boundary of the upper Trinity watershed in the County of Trinity; on the north by the boundary of the upper Trinity watershed in the County of Trinity and the upper Sacramento, McCloud, and Pit River watersheds in the County of Siskiyou; and within the County of Modoc, the easterly boundary of the Klamath River watershed; and on the north in the County of Modoc by the northern boundary of the State of California; excluding both of the following: (1) The Lake Tahoe Region, as described in Section 6605.5 of the Government Code, where it is defined as "region" (2) The San Joaquin River Parkway, as described in Section 32510. According to GreenInfo Network and the California Department of Fish and Game, the blue oak woodland used to define a portion of the Sierra Nevada Conservancy's western boundary was delineated using referenced vegetation and imagery data.The Tahoe Conservancy boundary was created by using the Tahoe Regional Planning Agency (TRPA) boundary received from the Tahoe Conservancy staff and clipping the TRPA boundary to the State of California boundary, using the Teale Albers projection. The TRPA boundary was received by the SNC from the Tahoe Conservancy staff in 2011, and the Tahoe Conservancy boundary was created by the SNC in 2012. Notes:Some conservancy boundaries overlap.
description: This data set maps and describes the geology of the Conejo Well 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 part of the northern Eagle Mountains and part of the south flank of Pinto Basin. It is underlain by a basement terrane comprising Proterozoic metamorphic rocks, Mesozoic plutonic rocks, and Mesozoic and Mesozoic or Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Eagle Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, Miocene basalt overlies 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 deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults in the Eagle Mountains and an east-west trending system of high-angle dip- and left-slip faults. In and adjacent to the Conejo Well quadrangle, faults of the northwest-trending set displace Miocene sedimentary rocks and basalt deposited on the Tertiary erosion surface and 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 Conejo Well database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database consists of the following items: (1) a map coverage showing faults and geologic contacts and units, (2) a separate coverage showing dikes, (3) a coverage showing structural data, (4) a point coverage containing line ornamentation, and (5) a scanned topographic base at a scale of 1:24,000. The coverages include attribute tables for geologic units (polygons and regions), contacts (arcs), and site-specific data (points). The database, accompanied by a pamphlet file and this metadata file, also includes the following graphic and text products: (1) A portable document file (.pdf) containing a navigable graphic of the geologic map on a 1:24,000 topographic base. The map is accompanied by a marginal explanation consisting of a Description of Map and Database Units (DMU), a Correlation of Map and Database Units (CMU), and a key to point-and line-symbols. (2) Separate .pdf files of the DMU and CMU, individually. (3) A PostScript graphic-file containing the geologic map on a 1:24,000 topographic base accompanied by the marginal explanation. (4) A pamphlet that describes the database and how to access it. Within the database, geologic contacts , faults, and dikes are represented as lines (arcs), geologic units as polygons and regions, and site-specific data as points. Polygon, arc, and point attribute tables (.pat, .aat, and .pat, respectively) uniquely identify each geologic datum and link it to other tables (.rel) that provide more detailed geologic information.; abstract: This data set maps and describes the geology of the Conejo Well 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 part of the northern Eagle Mountains and part of the south flank of Pinto Basin. It is underlain by a basement terrane comprising Proterozoic metamorphic rocks, Mesozoic plutonic rocks, and Mesozoic and Mesozoic or Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Eagle Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, Miocene basalt overlies 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 deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults in the Eagle Mountains and an east-west trending system of high-angle dip- and left-slip faults. In and adjacent to the Conejo Well quadrangle, faults of the northwest-trending set displace Miocene sedimentary rocks and basalt deposited on the Tertiary erosion surface and 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 Conejo Well database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database consists of the following items: (1) a map coverage showing faults and geologic contacts and units, (2) a separate coverage showing dikes, (3) a coverage showing structural data, (4) a point coverage containing line ornamentation, and (5) a scanned topographic base at a scale of 1:24,000. The coverages include attribute tables for geologic units (polygons and regions), contacts (arcs), and site-specific data (points). The database, accompanied by a pamphlet file and this metadata file, also includes the following graphic and text products: (1) A portable document file (.pdf) containing a navigable graphic of the geologic map on a 1:24,000 topographic base. The map is accompanied by a marginal explanation consisting of a Description of Map and Database Units (DMU), a Correlation of Map and Database Units (CMU), and a key to point-and line-symbols. (2) Separate .pdf files of the DMU and CMU, individually. (3) A PostScript graphic-file containing the geologic map on a 1:24,000 topographic base accompanied by the marginal explanation. (4) A pamphlet that describes the database and how to access it. Within the database, geologic contacts , faults, and dikes are represented as lines (arcs), geologic units as polygons and regions, and site-specific data as points. Polygon, arc, and point attribute tables (.pat, .aat, and .pat, respectively) uniquely identify each geologic datum and link it to other tables (.rel) that provide more detailed geologic information.
While Southern California Edison makes every effort to ensure the accuracy of DRPEP, the data provided is for information purposes only. Southern California Edison makes no guarantee, expressly or implied, for the outcome of an interconnection request.
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License information was derived automatically
This map is designated as Final.
Land-Use Data Quality Control
Every published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process.
Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.
Provisionaldata sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.
The 2004 Stanislaus County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM). Land use data was gathered and reviewed by DWR staff using extensive field visits, 2004 National Agriculture Imagery Program (NAIP) aerial photography and Landsat 5 imagery. NAIP imagery from 2004 was used for data review. Land use polygons in agricultural areas were mapped in greater detail than areas of urban or native vegetation. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters, under the leadership of Jean Woods, and North Central Region, under the supervision of: Kim Rosmaier. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of central and eastern Stanislaus County. The northern, eastern and southern boundaries are defined by the Stanislaus County boundary. The western extent of the survey area extends to the western edges of the Solyo (U.S.G.S. No. 37121E3) and Howard Ranch (U.S.G.S. No. 37121B1) 7.5’ quadrangles and is also bounded by the western and southern borders of the Copper Mountain (U.S.G.S. No. 37121D3) and Orestimba Peak (U.S.G.S. No. 37121C2) quadrangles. Land use boundaries were developed by updating line work from DWR's 2004 land use survey of Stanislaus County. Boundaries were modified on a quadrangle by quadrangle basis. Roads were delineated using the U.S. Census Bureau's TIGER®(Topologically Integrated Geographic Encoding and Referencing) database as guidelines. Other land use boundaries were adjusted and new fields were added based upon 2009 NAIP imagery. Field boundaries were drawn to depict observable areas of the same crop or other land uses and are not intended to represent legal parcel (ownership) boundaries. In this survey, some areas of creeks and rivers were included within polygons of riparian areas and not delineated separately. The primary field data collection for this survey was conducted between July 2010 and February 2011 by DWR staff from the South Central Region Office who visited each field and noted what was grown at that time. Supplemental field visits took place from April 28 through June 14, 2010 and from July 12 through August 3, 2010 when randomly selected fields were visited by SIWM staff to collect data for mapping crops using Landsat imagery analysis. For field data collection, 2009 NAIP imagery and vector files of land use boundaries were loaded onto laptop computers that, in most cases, were used as the field data collection tools. Some surveyors also used Landsat 5 imagery for the field survey. GPS units connected to the laptops were used to confirm the surveyors’ locations with respect to the fields. Virtually all agricultural fields were visited to positively identify the land use. Land use codes were entered in the field on laptop computers using ESRI ArcMAP software, version 9.3. Some staff took printed aerial photos into the field and wrote directly onto these photo field sheets. Attribute data from photo field sheets were coded and entered back in the office. Any necessary field boundary changes were digitized at the same time. In addition to the identification of crops through the collection of data in the field, a supervised classification of Landsat 5 data was used to identify fields with winter crops. The Landsat images of a selection of fields mapped by surveyors as grain, spinach, lettuce or fallow were reviewed using a time series of Landsat 5 images to confirm that the pattern of vegetation over time was consistent with the expected pattern for these crops. The selected fields were then used to develop spectral signatures for the represented crop categories using ERDAS Imagine and eCognition Developer software. Two Landsat 5 images, March 16, 2010 and April 17, 2010, were selected for identifying winter crops using a maximum likelihood supervised classification. The classified images were used to calculate zonal attributes for fields mapped during the summer survey as field crops, truck crops or fallow. Fields mapped during the survey as winter truck crops or grains were also included. For the fields that were classified as winter crops, a time series of Landsat imagery was reviewed for consistency with the classification results. Fields for which the identified winter crops were confirmed by the review of time series data were added to the shapefile database using the special condition “U”, indicating that they were identified by a method other than having been mapped during the field survey. To identify fields with summer crops that were missed during the field survey, fields identified as fallow were reviewed using 2010 NAIP and Landsat 5 imagery. Where the imagery indicated that crops had been produced, the attributes of these fields were changed to identify them as cropped. They are also labeled with special condition "U". Before final processing, standard quality control procedures were performed jointly by staff at DWR’s North Central Region, and at DSIWM headquarters under the leadership of Jean Woods. Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.
description: Contra Costa County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by Carquinez Strait, through which flows 27 percent of California's surface water runoff. San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and the Livermore Valley forms the southern boundary. Contra Costa is one of the nine Bay Area counties with streams that are tributaries to San Francisco Bay. Most of the county is mountainous with steep rugged topography. Mount Diablo, in the center of the county, is one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). Contra Costa County is covered by twenty-five 7.5' topographic Quadrangles shown on the index map (ccq_quad or Sheet 2). However, two of the quadrangles (Hayward and Petaluma Point) contain no Quaternary deposits in Contra Costa County, and so are not discussed herein. The Quaternary deposits in Contra Costa County comprise two distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta deposits, is mapped in the western four-fifths of the county. The second, forming a combination of eolian dune and river delta deposits, is mapped in the San Joaquin Valley in the eastern part of the county.; abstract: Contra Costa County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by Carquinez Strait, through which flows 27 percent of California's surface water runoff. San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and the Livermore Valley forms the southern boundary. Contra Costa is one of the nine Bay Area counties with streams that are tributaries to San Francisco Bay. Most of the county is mountainous with steep rugged topography. Mount Diablo, in the center of the county, is one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). Contra Costa County is covered by twenty-five 7.5' topographic Quadrangles shown on the index map (ccq_quad or Sheet 2). However, two of the quadrangles (Hayward and Petaluma Point) contain no Quaternary deposits in Contra Costa County, and so are not discussed herein. The Quaternary deposits in Contra Costa County comprise two distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta deposits, is mapped in the western four-fifths of the county. The second, forming a combination of eolian dune and river delta deposits, is mapped in the San Joaquin Valley in the eastern part of the county.
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This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.