43 datasets found
  1. S

    Zoning Districts

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Feb 8, 2021
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    Enterprise GIS (2021). Zoning Districts [Dataset]. https://data.sanjoseca.gov/dataset/zoning-districts
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    arcgis geoservices rest api, kml, html, csv, zip, geojsonAvailable download formats
    Dataset updated
    Feb 8, 2021
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    Land Use Zoning Districts in San Jose, CA.


    App: The data can be viewed in web map format at: Land use Zoning

    This interactive zoning map identifies the zoning district designations, as referenced in the Zoning Ordinance, of property within the City of San José's incorporated area (City limits). Additional details about the zoning and property can also be found at www.sjpermits.org.

    Data is published on Mondays on a weekly basis.

  2. a

    PCBs Old Industrial Areas

    • gisdata-csj.opendata.arcgis.com
    • data.sanjoseca.gov
    Updated May 8, 2023
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    City of San José (2023). PCBs Old Industrial Areas [Dataset]. https://gisdata-csj.opendata.arcgis.com/maps/4e14963d3c604aa28c98ee09813ecfe9
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    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    City of San José
    License

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

    Area covered
    Description

    Polychlorinated biphenyls (PCBs) are a group of legacy pollutants formerly used in commercial and industrial processes, with peak use between 1950 and 1980. "Old Industrial" indicates that an area's land use was Industrial prior to 1980 and has not yet been redeveloped. Regional monitoring data demonstrate higher loads of PCBs in stormwater runoff from Old Industrial areas, compared with other land uses types. In order to reduce PCBs runoff to the Bay, the City will investigate and treat Old Industrial areas, on a parcel-by-parcel basis. Investigation occurs through sample collection and lab testing, as well as desktop analysis. Treatment to control or abate PCBs runoff may include redevelopment, full trash capture device installation, enhanced street sweeping, and implementation of BMPs or cleanup on confirmed source properties. This layer shows the current investigation and treatment status for each Old Industrial parcel in San Jose. Data updated annually.

  3. S

    Storm Detention Areas

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Feb 8, 2021
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    Enterprise GIS (2021). Storm Detention Areas [Dataset]. https://data.sanjoseca.gov/dataset/storm-detention-areas
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    arcgis geoservices rest api, zip, html, geojson, kml, csvAvailable download formats
    Dataset updated
    Feb 8, 2021
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    An above ground or below ground facility, such as a pond or tank, that temporarily stores stormwater runoff and subsequently releases it at a slower rate than it is collected by the drainage facility system.

    Data is published on Mondays on a weekly basis.

  4. K

    City of San Jose Parks

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 5, 2018
    + more versions
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    City of San Jose, California (2018). City of San Jose Parks [Dataset]. https://koordinates.com/layer/95883-city-of-san-jose-parks/
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    mapinfo tab, kml, shapefile, csv, pdf, geodatabase, mapinfo mif, dwg, geopackage / sqliteAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset authored and provided by
    City of San Jose, California
    Area covered
    Description

    This layer was created as an update the existing San Jose Parks Layer (PRK.PARKS). The existing layer has been maintained by the City of San Jose Department of Public Works and had not been updated in some time. This layer is a draft as of (05.02.2014) and has not been fully reviewed to assure complete accuracy of boundaries. Nevertheless it is an improvement over the existing layer and has had park boundaries adjusted to reflect PRNS management authority to the curb and gutter. This layer is also primarily based upon satellite imagery and visible property lines with the Santa Clara County parcel layer used as a guide in certain circumstances where boundaries could not be identified. The PRK.PARKS layer on the other hand , appeared to be based upon the Santa Clara Parcel layer, which did not include sidewalk and curb areas of the parks. In addition many parcel maps features included sections of roadway or overlapped into neighboring properties when compared with the aerial. Park chains have yet to be reviewed and revised. It is our intent to adjust these features to show only secured or quasi-government lands in which development in unlikely to occur. In addition, park chain lands may be adjusted to reflect underpasses where trails and public access is permitted.

    © City of San Jose

  5. S

    Tract Boundaries

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Feb 8, 2021
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    Enterprise GIS (2021). Tract Boundaries [Dataset]. https://data.sanjoseca.gov/dataset/tract-boundaries
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    arcgis geoservices rest api, zip, kml, geojson, html, csvAvailable download formats
    Dataset updated
    Feb 8, 2021
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    Tract Boundaries represent the geographic extent of non-incorporated areas within and outside of San Jose.

    Data is published on Mondays on a weekly basis.

  6. S

    Annexation Areas

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Feb 7, 2021
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    Enterprise GIS (2021). Annexation Areas [Dataset]. https://data.sanjoseca.gov/dataset/annexation-areas
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    arcgis geoservices rest api, html, csv, kml, zip, geojsonAvailable download formats
    Dataset updated
    Feb 7, 2021
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    Approved annexations or disannexations to and from the City of San Jose.

    Data is published on Mondays on a weekly basis.

  7. t

    San Jose Zip Codes

    • tuscanaproperties.com
    Updated Feb 17, 2025
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    (2025). San Jose Zip Codes [Dataset]. https://www.tuscanaproperties.com/san-jose-zip-codes-map/
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    Dataset updated
    Feb 17, 2025
    Area covered
    San Jose
    Variables measured
    95110, 95111, 95112, 95113
    Description

    A dataset containing zip codes in San Jose, California, and their respective populations.

  8. S

    Council District

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Jun 13, 2023
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    Enterprise GIS (2023). Council District [Dataset]. https://data.sanjoseca.gov/dataset/council-district
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    html, arcgis geoservices rest api, geojson, csv, zip, kmlAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    Since 1978, voters have elected council members from among candidates living within their district, plus the mayor who is elected at large citywide. With the subsequent release of decennial census data by the US Census Bureau in the years 1980, 1990, 2000, and 2010, City Council District boundaries have been adjusted to meet legal requirements and San Jose's own redistricting criteria. The City Council District boundaries are updated every ten years.


    This layer includes the current Council Districts for City of San Jose, which went into effect February 11, 2022. Data is updated as needed to reflect annexations or other boundary changes.

  9. O

    San Jose 40 Chains To An Inch Mine Map Provisional 1967

    • data.qld.gov.au
    Updated May 8, 2023
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    Geological Survey of Queensland (2023). San Jose 40 Chains To An Inch Mine Map Provisional 1967 [Dataset]. https://www.data.qld.gov.au/geoscience/mr007960
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    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    Geological Survey of Queensland
    License

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

    Description

    URL: https://geoscience.data.qld.gov.au/dataset/mr007960

    The SAN JOSE Mine map was published in 1967, charted in 1971 at 40 Chains to an Inch as part of the PARISH series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Bajool (9050) 1:100 000 map area.
    The map product is available to all government agencies, industry and the public for reference.
    Title and Image reference number is SAN JOSE_1924.

    Cancelled 1973

  10. d

    Digital subsurface data from USGS Regional Aquifer System Analysis of the...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Digital subsurface data from USGS Regional Aquifer System Analysis of the San Juan basin and adjacent areas, Utah, Colorado, Arizona, and New Mexico [Dataset]. https://catalog.data.gov/dataset/digital-subsurface-data-from-usgs-regional-aquifer-system-analysis-of-the-san-juan-basin-a
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Arizona, Utah, New Mexico
    Description

    The San Juan basin is a significant physical and structural element in the southeastern part of the Colorado Plateau physiographic province. The San Juan basin is in New Mexico, Colorado, Arizona, and Utah and has an area of about 21,600 square miles. The basin is about 140 miles wide and about 200 miles long. In the 1980’s and 1990’s, the San Juan basin was the focus of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) study. Investigation of the San Juan structural basin began in October 1984 with an objective, among others, to define and evaluate the aquifer system. As part of this analysis, a multi-publication series of reports were produced as Hydrologic Atlas 720 (HA-720) that described on 1:1,000,000-scale maps the subsurface configuration and hydrogeology of the San Jose, Nacimiento, and Animas Formations (Levings and others, 1990; HA-720-A), the Ojo Alamo Sandstone (Thorn and others, 1990; HA-720-B), the Kirtland Shale and Fruitland Formation (Kernodle and others, 1990; HA-720-C), the Pictured Cliffs Sandstone (Dam and others, 1990; HA-720-D), the Cliff House Sandstone (Thorn and others, 1990; HA-720-E), the Menefee Formation (Levings and others, 1990; HA-720-F), the Point Lookout Sandstone (Craigg and others, 1990; HA-720-G), the Gallup Sandstone (Kernodle and others, 1990; HA-720-H), the Dakota Sandstone (Craigg and others, 1990; HA-720-I), and the Morrison Formation (Dam and others, 1990; HA-720-J). This digital dataset contains spatial datasets corresponding to the contoured subsurface maps produced by the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) San Juan basin study. The data define the elevation, thickness, and extent of principal stratigraphic units of the basin. The digital data describe the following stratigraphic units: the San Jose Formation, the Ojo Alamo Sandstone, the Kirtland Shale and Fruitland Formation, the Pictured Cliffs Sandstone, the Cliff House Sandstone, the Menefee Formation, the Point Lookout Sandstone, the Gallup Sandstone, the Dakota Sandstone, and the Morrison Formation. Digital data for each unit are contained in individual features classes within a geodatabase (also saved as individual shapefiles). Feature classes have a single attribute, either elevation or thickness, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters.

  11. O

    San Jose 40 Chains To An Inch Mine Map Provisional 1930

    • data.qld.gov.au
    Updated May 10, 2023
    + more versions
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    Geological Survey of Queensland (2023). San Jose 40 Chains To An Inch Mine Map Provisional 1930 [Dataset]. https://www.data.qld.gov.au/dataset/mr007957
    Explore at:
    Dataset updated
    May 10, 2023
    Dataset authored and provided by
    Geological Survey of Queensland
    License

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

    Area covered
    San Jose
    Description

    URL: https://geoscience.data.qld.gov.au/dataset/mr007957

    The SAN JOSE Mine map was published in 1930 at 40 Chains to an Inch as part of the PARISH series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Bajool (9050) 1:100 000 map area.
    The map product is available to all government agencies, industry and the public for reference.
    Title and Image reference number is SAN JOSE_1920.

  12. d

    Geology and geomorphology--Offshore of Tomales Point Map Area, California.

    • datadiscoverystudio.org
    • data.usgs.gov
    • +2more
    Updated Jun 8, 2018
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    (2018). Geology and geomorphology--Offshore of Tomales Point Map Area, California. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/81c08b5b9669454a90a90e1159261c72/html
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    Dataset updated
    Jun 8, 2018
    Area covered
    California
    Description

    description: This part of DS 781 presents data for the geologic and geomorphic map of the Offshore of Tomales Point map area, California. The vector data file is included in "Geology_OffshoreTomalesPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreTomalesPoint/data_catalog_OffshoreTomalesPoint.html. The morphology and the geology of the offshore part of the Offshore of Tomales Point map area result from the interplay between tectonics, sea-level rise, local sedimentary processes, and oceanography. The map area is cut by the northwest-trending San Andreas Fault, the right-lateral transform boundary between the North American and Pacific tectonic plates. The San Andreas strikes through Tomales Bay, the northern part of a linear valley that extends from Bolinas through Olema Valley to Bodega Bay, separating mainland California from the Point Reyes Peninsula. Onshore investigations indicate that this section of the San Andreas Fault has an estimated slip rate of about 17 to 25 mm/yr (Bryant and Lundberg, 2002; Grove and Niemi, 2005). The devastating Great 1906 California earthquake (M 7.8) is thought to have nucleated on the San Andreas Fault about 50 kilometers south of this map area offshore of San Francisco (e.g., Bolt, 1968; Lomax, 2005), with the rupture extending northward through the Offshore of Tomales Point map area to the south flank of Cape Mendocino (Lawson, 1908; Brown and Wolfe, 1972). The Point Reyes Peninsula is bounded to the south and west in the offshore by the north- and east-dipping Point Reyes Thrust Fault (McCulloch, 1987; Heck and others, 1990), which lies about 20 km west of Tomales Point. Granitic basement rocks are offset about 1.4 km on this thrust fault offshore of Point Reyes (McCulloch, 1987), and this uplift combined with west-side-up offset on the San Andreas Fault (Grove and Niemi, 2005) resulted in uplift of the Point Reyes Peninsula, including Tomales Point and the adjacent continental shelf. Grove and others (2010) reported uplift rates of as much as 1 mm/yr for the south flank of the Point Reyes Peninsula based on marine terraces, but reported no datable terrace surfaces that could constrain uplift for the flight of 4-5 terraces exposed farther north along Tomales Point. Because of this Quaternary uplift and relative lack of sediment supply from coastal watersheds, there is extensive rugged, rocky seafloor beneath the continental shelf in the Offshore of Tomales Point map area. Granitic rocks (unit Kg) on the seafloor are mapped on the basis of massive character, roughness, extensive fractures, and high backscatter (see Backscattter A to D--Offshore of Tomales Point, California, DS 781, for more information). Neogene sedimentary rocks (units Tl and Tu) commonly form distinctive "ribs," created by differential seafloor erosion of dipping beds of variable resistance. The more massive offshore outcrops of unit Tu in the southern part of the map area are inferred to represent more uniform lithologies. Slopes on the granitic seafloor (generally 1 to 1.3 degrees) are greater than those over sedimentary rock (generally about 0.5 to 0.6 degrees). Sediment-covered areas occur in gently sloping (less than about 0.6 degrees) mid-shelf environments west and north of Tomales Point, and at the mouth of Tomales Bay. Sediment supply is local, limited to erosion from local coastal bluffs and dunes, small coastal watersheds, and sediment flux out of the mouth of Tomales Bay. Shelf morphology and evolution largely reflects eustacy; sea level has risen about 125 to 130 m over about the last 21,000 years (for example, Lambeck and Chappell, 2001; Peltier and Fairbanks, 2005), leading to broadening of the continental shelf, progressive eastward migration of the shoreline and wave-cut platform, and associated transgressive erosion and deposition. Given present exposure to high wave energy, modern nearshore to mid-shelf sediments are mostly sand (unit Qms) and a mix of sand, gravel, and cobbles (units Qmsc and Qmsd). These sediments are distributed between rocky outcrops at water depths of as much as 65 m (see below). The more coarse-grained sands and gravels (units Qmsc and Qmsd) are primarily recognized on the basis of bathymetry and high backscatter. Unit Qmsd forms erosional lags in scoured depressions that are bounded by relatively sharp contacts with bedrock or sharp to diffuse contacts with units Qms and Qmsc. These scoured depressions are typically a few tens of centimeters deep and range in size from a few 10's of sq m to more than one sq km. Similar unit Qmsd scour depressions are common along this stretch of the California coast (see, for example, Cacchione and others, 1984; Hallenbeck and others, 2012) where surficial offshore sandy sediment is relatively thin (thus unable to fill the depressions) due to both lack of sediment supply and to erosion and transport of sediment during large northwest winter swells. Such features have been referred to as rippled-scour depressions (see, for example, Cacchione and others, 1984) or sorted bedforms (see, for example, Goff and others, 2005; Trembanis and Hume, 2011). Although the general areas in which both unit Qmsd scour depressions and surrounding mobile sand sheets occur are not likely to change substantially, the boundaries of the individual Qmsd depressions are likely ephemeral, changing seasonally and during significant storm events. Unit Qmsf consists primarily of mud and muddy sand and is commonly extensively bioturbated. The location of the inboard contact at water depths of about 65 m is based on meager sediment sampling and photographic data and the inference that if must lie offshore of the outer boundary of coarse-grained units Qmsd and Qmsc. This is notably deeper than the inner contact of unit Qmsf offshore of the nearby Russian River (about 50 m; Klise, 1983) which could may reflect both increased wave energy and significantly decreased supply of muddy sediment. There are two areas of high-backscatter, rough seafloor at water depths of 65 to 70 m west of northern Tomales Point. These areas are notable in that each includes several small (less than about 20,000 sq m), randomly distributed to northwest-trending, irregular "mounds," with as much as 1 m of positive relief above the seafloor (unit Qsr). Seismic-reflection data (see field activity S-15-10-NC) reveal this lumpy material rests on several meters of latest Pleistoce to Holocene sediment and is thus not bedrock outcrop. Rather, it seems likely that this material is marine debris, possibly derived from one (or more) of the more than 60 shipwrecks that have occurred offshore of the Point Reyes Peninsula between 1849 and 1940 (National Park Service, 2012). It is also conceivable that this lumpy terrane consists of biological "hardgrounds" Units Qsw, Qstb, Qdtb, and Qsdtb comprise sediments in Tomales Bay. Anima and others (2008) conducted a high-resolution bathymetric survey of Tomales Bay and noted that strong tidal currents at the mouth of the bay had created a large field of sandwaves, dunes, and flats (unit Qsw). Unit Qkdtb is a small subaqueous sandy delta deposited at the mouth of Keys Creek, the largest coastal watershed draining into this northern part of Tomales Bay. Unit Qstb occurs south of units Qsw and Qdtb, and comprises largely flat seafloor underlain by mixed sand and silt. Unit Qdtb consists of depressions within the sedimentary fill of Tomales Bay. These depressions commonly occur directly offshore of coastal promontories, cover as much as 74,000 sq m, and are as deep as 9 m. Map unit polygons were digitized over underlying 2-meter base layers developed from multibeam bathymetry and backscatter data (see Bathymetry--Offshore of Tomales Point, California and Backscattter A to D--Offshore of Tomales Point, California, DS 781). The bathymetry and backscatter data were collected between 2006 and 2010. References Cited Anima, R. A., Chin, J.L., Finlayson, D.P., McGann, M.L., and Wong, F.L., 2008, Interferometric sidescan bathymetry, sediment and foraminiferal analyses; a new look at Tomales Bay, Califorina: U.S. Geological Survey Open-File Report 2008 - 1237, 33 p. Brown, R.D., Jr., and Wolfe, E.W., 1972, Map showing recently active breaks along the San Andreas Fault between Point Delgada and Bolinas Bay, California: U.S. Geological Survey Miscellaneous Investigations Map I-692, scale 1:24,000. Bryant, W.A., and Lundberg, M.M., compilers, 2002, Fault number 1b, San Andreas fault zone, North Coast section, in Quaternary fault and fold database of the United States: U.S. Geological Survey website, accessed April 4, 2013 at http://earthquakes.usgs.gov/hazards/qfaults. Cacchione, D.A., Drake, D.E., Grant, W.D., and Tate, G.B., 1984, Rippled scour depressions of the inner continental shelf off central California: Journal of Sedimentary Petrology, v. 54, p. 1,280-1,291. Grove, K., and Niemi, T.M., 2005, Late Quaternary deformation and slip rates in the northern San Andreas fault zone at Olema Valley, Marin County, California: Tectonophysics, v. 401, p. 231-250. Grove, K, Sklar, L.S., Scherer, A.M., Lee, G., and Davis, J., 2010, Accelerating and spatially-varying crustal uplift and its geomorphic expression, San Andreas fault zone north of San Francisco, California: Tectonophysics, v. 495, p. 256-268. Klise, D.H., 1984, Modern sedimentation on the California continental margin adjacent to the Russian River: M.S. thesis, San Jose State University, 120 p. Hallenbeck, T.R., Kvitek, R.G., and Lindholm, J., 2012, Rippled scour depressions add ecologically significant heterogeneity to soft-bottom habitats on the continental shelf: Marine Ecology Progress Series, v. 468, p. 119-133. Lambeck, K., and Chappell, J., 2001, Sea level change through the last glacial cycle: Science, v. 292, p. 679-686, doi: 10.1126/science.1059549. Lawson, A.C., ed., 1908, The California earthquake of April 18, 1906, Report of the State Earthquake Investigation Commission:

  13. S

    Neighborhood Business Districts

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Jan 27, 2023
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    Enterprise GIS (2023). Neighborhood Business Districts [Dataset]. https://data.sanjoseca.gov/dataset/neighborhood-business-districts
    Explore at:
    csv, kml, html, arcgis geoservices rest api, geojson, zipAvailable download formats
    Dataset updated
    Jan 27, 2023
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    These are commercial areas along both sides of a street, which function in their neighborhoods or communities as central business districts, providing community focus and identity through the delivery of goods and services. In addition, Neighborhood Business Districts may include adjacent non-commercial land uses. Neighborhood Business Districts (NBDs) contain a variety of commercial and noncommercial uses which contribute to neighborhood identity by serving as a focus for neighborhood activity. This designation facilitates the implementation of a NBD Program by identifying target areas. The NBD Program seeks to preserve, enhance, and revitalize San José’s neighborhood-serving commercial areas through the coordination of public and private improvements, such as streetscape beautification, facade upgrading, business organization activities, business development, and promotional events. Consistent with its Implementation and Community Design Policies, the City will schedule, coordinate, and design public improvements in Neighborhood Business Districts so that allocated funding is consistent with the City’s growth strategies.

    The NBD designation functions as an “overlay” designation which is applied to predominantly commercial land use designations. It is typically applied to two types of commercial areas. The first is older commercial areas where connected buildings create a predominant pattern of a continuous street façade with no, or very small setbacks from the sidewalk. Examples of this include Lincoln Avenue between Coe and Minnesota Avenues, Jackson Street between 4th and 6th Streets, and the segment of Alum Rock Avenue between King Road and Interstate 680. The second commercial area where the NBD overlay is applied typically contains a series of one or more of the following development types: parking lot strips (buildings set back with parking in front), neighborhood centers (one or two anchors plus smaller stores in one complex), or traditional, older commercial areas as described in the first NBD typology.

    NBDs generally surround Main Street designations on the Transportation Network Diagram. The exceptions are The Alameda and East Santa Clara Street, which are noted as Grand Boulevards. NBDs can extend beyond the parcels immediately adjacent to a Main Street or Grand Boulevard, and they often overlap with Urban Village Boundary Area designations. Within an NBD overlay, residential and commercial uses, together with related parking facilities, are seen to be complementary uses, although commercial uses oriented to occupants of vehicles, such as drive-through service windows, are discouraged along major thoroughfares within NBD areas. In areas with an NBD overlay designation, any new development or redevelopment must conform to the underlying land use designation and applicable Urban Village Plans, Land Use Policies, and Community Design Policies. Such development must also conform to design guidelines adopted by the City.

    Data has never been updated.

  14. Travel Model Super Districts

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Mar 19, 2018
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    MTC/ABAG (2018). Travel Model Super Districts [Dataset]. https://opendata.mtc.ca.gov/datasets/travel-model-super-districts
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    Dataset updated
    Mar 19, 2018
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    Descriptions of Metropolitan Transportation Commission's 34 Super DistrictsSuper District #1 - Greater Downtown San Francisco: This area, the northeastern quadrant of the city, is bounded by Van Ness Avenue on the west, 11th Street on the southwest, and Townsend Street on the south. This Super District includes the following neighborhoods and districts: Financial District, Union Square, Tenderloin, Civic Center, South of Market, South Park, Rincon Hill, Chinatown, Jackson Square, Telegraph Hill, North Beach, Nob Hill, Russian Hill, Polk Gulch and Fisherman's Wharf. Treasure Island and Yerba Buena Island are also part of Super District #1.Super District #2 - Richmond District: This area, the northwestern quadrant of the city, is bounded by Van Ness Avenue on the east, Market Street on the southeast, and 17th Street, Stanyan Street, and Lincoln Way on the south. Super District #2 includes the following neighborhoods and districts: the Presidio, the Western Addition District, the Marina, Cow Hollow, Pacific Heights, Cathedral Hill, Japantown, Hayes Valley, Duboce Triangle, the Haight-Ashbury, the Richmond District, Inner Richmond, Outer Richmond, Laurel Heights, Sea Cliff, and the Golden Gate Park.Super District #3 - Mission District: This area, the southeastern quadrant of the city, is bounded by Townsend Street, 11th Street, Market Street, 17th Street, Stanyan Street, and Lincoln Way on the northern boundary; 7th Avenue, Laguna Honda, Woodside Avenue, O'Shaughnessy Boulevard and other smaller streets (Juanita, Casita, El Verano, Ashton, Orizaba) on the western boundary; and by the San Mateo County line on the southern boundary. Super District #3 includes the following neighborhoods and districts: China Basin, Potrero Hill, Inner Mission, Outer Mission, Twin Peaks, Parnassus Heights, Dolores Heights, Castro, Eureka Valley, Noe Valley, Bernal Heights, Glen Park, Ingleside, Ocean View, the Excelsior, Crocker-Amazon, Visitacion Valley, Portola, Bayview, and Hunters Point.Super District #4 - Sunset District: This area, the southwestern quadrant of the city, is bounded by Lincoln Way (Golden Gate Park) on the north; 7th Avenue, Laguna Honda, Woodside Avenue, O'Shaughnessy Boulevard and other smaller streets (Juanita, Casita, El Verano, Ashton, Orizaba) on the eastern boundary; and by the San Mateo County line on the southern boundary. Super District #4 includes the following neighborhoods and districts: Inner Sunset, the Sunset District, Sunset Heights, Parkside, Lake Merced District, Park-Merced, Ingleside Heights, West Portal and St. Francis Wood.Super District #5 - Daly City/San Bruno: This northern San Mateo County Super District includes the communities of Daly City, Colma, Brisbane, South San Francisco, Pacifica, San Bruno, Millbrae, and the north part of Burlingame. The boundary between Super District #5 and Super District #6 is Broadway, Carmelita Avenue, El Camino Real, Easton Drive, the Hillsborough / Burlingame city limits, Interstate 280, Skyline Boulevard, the Pacifica city limits, and the Montara Mountain ridgeline extending to Devil's Slide on the coast.Super District #6 - San Mateo/Burlingame: The central San Mateo County Super District includes the communities of Hillsborough, San Mateo, Foster City, Belmont, the southern part of Burlingame, and the coastside communities of Montara, Moss Beach, El Granada, and Half Moon Bay. The southern boundary of Super District #6 is the Foster City city limits, the Belmont/San Carlos city limits, Interstate 280, Kings Mountain, Lobitos Creek extending to Martins Beach on the coast.Super District #7 - Redwood City/Menlo Park: The southern San Mateo County Super District includes the communities of San Carlos, Redwood Shores, Redwood City, Atherton, Menlo Park, East Palo Alto, Woodside, Portola Valley, and the coastside communities of San Gregorio and Pescadero.Super District #8 - Palo Alto/Los Altos: This Santa Clara County Super District includes the communities of Palo Alto, Los Altos, Los Altos Hills, and the western part of Mountain View. Boundaries include the San Mateo County line, US-101 on the north, and Cal-85 (Stevens Creek Freeway) and Stevens Creek on the east.Super District #9 - Sunnyvale/Mountain View: This is the "Silicon Valley" Super District and includes the communities of Mountain View (eastern part and shoreline), Sunnyvale, Santa Clara (northern part), Alviso, and San Jose (northern part). Also included in this Super District is the "Golden Triangle" district. Super District #9 is bounded by US-101, Cal-85, Stevens Creek on the western boundary; Homestead Road on the southern boundary; Pierce Street, Civic Center Drive and the SP tracks in Santa Clara City; and Interstate 880 as the eastern boundary.Super District #10 - Cupertino/Saratoga: This Super District is located in south central Santa Clara County and includes the communities of Cupertino, Saratoga, Santa Clara City (southern part), Campbell (western part), San Jose (western part), Monte Sereno, Los Gatos and Redwood Estates. This area is bounded by Stevens Creek and the Santa Cruz Mountains on the west, Homestead Road on the north, Interstate 880/California Route 17 on the east; Union Avenue, Camden Avenue and Hicks Road (San Jose) also on the eastern boundary; and the Santa Clara/Santa Cruz county line on the south.Super District #11 - Central San Jose: This central Santa Clara County Super District is comprised of San Jose (central area), Santa Clara City (downtown area), and Campbell (east of Cal-17). The general boundaries of Super District #11 are Interstate 880/California Route 17 on the west; US-101 on the east; and the Capitol Expressway, Hillsdale Avenue, Camden Avenue, and Union Avenue on the south boundary.Super District #12 - Milpitas/East San Jose: This eastern Santa Clara County Super District includes the City of Milpitas, and the East San Jose communities of Berryessa, Alum Rock, and Evergreen. Boundaries include Interstate 880 and US-101 freeways on the west; San Jose City limits (Evergreen) on the south; and the mountains on the east.Super District #13 - South San Jose: This south-central Santa Clara County Super District includes the southern part of San Jose including the Almaden and Santa Teresa neighborhoods. Super District #13 is surrounded by Super District #10 on the west; Super District #11 on the north; Super District #12 on the northeast; and Super District #14 on the south at Metcalf Road (Coyote).Super District #14 - Gilroy/Morgan Hill: This area of Santa Clara County is also known as "South County" and includes the communities of Gilroy, Morgan Hill, San Martin and the Coyote Valley. Also included in this Super District are Loma Prieta (western boundary of the Super District) and Mount Hamilton in the northeastern, rural portion of Santa Clara County. This area is bounded by Santa Cruz and San Benito Counties on the south, and Merced and Stanislaus Counties on the eastern border.Super District #15 - Livermore/Pleasanton: This is the eastern Alameda County Super District including the Livermore and Amador Valley communities of Livermore, Pleasanton, Dublin, San Ramon Village, and Sunol. This Super District includes all of eastern Alameda County east of Pleasanton Ridge and Dublin Canyon.Super District #16 - Fremont/Union City: The southern Alameda County Super District includes the communities of Fremont, Newark and Union City. The boundaries for this Super District are the Hayward/Union City city limits on the north side; the hills to the immediate east; the Santa Clara/Alameda County line on the south; and the San Francisco Bay on the west.Super District #17 - Hayward/San Leandro: This southern Alameda County Super District includes the communities of Hayward, San Lorenzo, San Leandro, Castro Valley, Cherryland, and Ashland. The northern border is the San Leandro/Oakland city limits.Super District #18 - Oakland/Alameda: This northern Alameda County Super District includes the island city of Alameda, Oakland, and Piedmont. The Oakland neighborhoods of North Oakland and Rockridge are in the adjacent Super District #19. The border between Super Districts #18 and #19 are the Oakland/Emeryville city limits; 52nd and 51st Streets; Broadway; and Old Tunnel Road.Super District #19 - Berkeley/Albany: This northern Alameda County Super District includes all of Emeryville, Berkeley, and Albany, and the Oakland neighborhoods in North Oakland and Rockridge. The Super District is surrounded by the Alameda/Contra Costa County lines; the San Francisco Bay; and the Oakland Super District.Super District #20 - Richmond/El Cerrito: This is the western Contra Costa Super District. It includes the communities of Richmond, El Cerrito, Kensington, Richmond Heights, San Pablo, El Sobrante, Pinole, Hercules, Rodeo, Crockett, and Port Costa. The eastern boundary to Super District #20 is defined as the Carquinez Scenic Drive (east of Port Costa); McEwen Road; California Route 4; Alhambra Valley Road; Briones Road through the Regional Park; Bear Creek Road; and Wildcat Canyon Road to the Alameda/Contra Costa County line.Super District #21 - Concord/Martinez: This is one of three central Contra Costa County Super Districts. Super District #21 includes the communities of Concord, Martinez, Pleasant Hill, Clayton, and Pacheco. This area is bounded by Suisun Bay on the north; Willow Pass and Marsh Creek on the east; Mt Diablo on the southeast; and Cowell Road, Treat Boulevard, Oak Grove Road, Minert Road, Bancroft Road, Oak Park Boulevard, Putnam Boulevard, Geary Road, and Pleasant Hill Road on the south; and Briones Park, Alhambra Valley Road and Cal-4 on the west.Super District #22 - Walnut Creek: This central Contra Costa County Super District includes the communities of Walnut Creek, Lafayette, Moraga and Orinda. The latter three communities are more popularly known as Lamorinda. The border with Super District #23 generally follows the southern city limits of Walnut Creek.Super

  15. s

    Land surface temperature for CRI-San Jose March-May 2021

    • datahub.shiftcities.org
    Updated Apr 14, 2022
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    World Resources Institute (2022). Land surface temperature for CRI-San Jose March-May 2021 [Dataset]. https://datahub.shiftcities.org/maps/land-surface-temperature-for-cri-san-jose-march-may-2021/about
    Explore at:
    Dataset updated
    Apr 14, 2022
    Dataset authored and provided by
    World Resources Institute
    Area covered
    Description

    A map of mean land surface temperature is derived for this study region and period using algorithms from Ermida et al. (https://doi.org/10.3390/rs12091471) applied through Google Earth Engine to imagery collected by the Landsat series of remote sensing satellites. The resulting map provides estimates of mean land surface temperature in degrees Celsius for March through May 2021, in the hottest months in the San Jose region that year. Estimates are unavailable for some areas with persistent cloud cover. Click here to download TIF version of layer

  16. California Building Climate Zones

    • gis.data.ca.gov
    • data.ca.gov
    • +6more
    Updated Sep 29, 2017
    + more versions
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    California Energy Commission (2017). California Building Climate Zones [Dataset]. https://gis.data.ca.gov/datasets/549017ee96e341d2bbb3dd0c291a9112
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    Dataset updated
    Sep 29, 2017
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

    https://www.energy.ca.gov/conditions-of-usehttps://www.energy.ca.gov/conditions-of-use

    Area covered
    Description

    Building Climates Zones of California Climate Zone Descriptions for New Buildings - California is divided into 16 climatic boundaries or climate zones, which is incorporated into the Energy Efficiency Standards (Energy Code). Each Climate zone has a unique climatic condition that dictates which minimum efficiency requirements are needed for that specific climate zone. The numbers used in the climate zone map don't have a title or legend. The California climate zones shown in this map are not the same as what we commonly call climate areas such as "desert" or "alpine" climates. The climate zones are based on energy use, temperature, weather and other factors.This is explained in the Title 24 energy efficiency standards glossary section:"The Energy Commission established 16 climate zones that represent a geographic area for which an energy budget is established. These energy budgets are the basis for the standards...." "(An) energy budget is the maximum amount of energy that a building, or portion of a building...can be designed to consume per year.""The Energy Commission originally developed weather data for each climate zone by using unmodified (but error-screened) data for a representative city and weather year (representative months from various years). The Energy Commission analyzed weather data from weather stations selected for (1) reliability of data, (2) currency of data, (3) proximity to population centers, and (4) non-duplication of stations within a climate zone."Using this information, they created representative temperature data for each zone. The remainder of the weather data for each zone is still that of the representative city." The representative city for each climate zone (CZ) is:CZ 1: ArcataCZ 2: Santa RosaCZ 3: OaklandCZ 4: San Jose-ReidCZ 5: Santa MariaCZ 6: TorranceCZ 7: San Diego-LindberghCZ 8: FullertonCZ 9: Burbank-GlendaleCZ10: RiversideCZ11: Red BluffCZ12: SacramentoCZ13: FresnoCZ14: PalmdaleCZ15: Palm Spring-IntlCZ16: Blue Canyon

  17. Evening Air Temperature in Cities - Urban Heat Islands

    • heat.gov
    • community-climatesolutions.hub.arcgis.com
    • +3more
    Updated Nov 8, 2021
    + more versions
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    NOAA GeoPlatform (2021). Evening Air Temperature in Cities - Urban Heat Islands [Dataset]. https://www.heat.gov/datasets/4653db8862ab4230acdf618903fd28c5
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    Dataset updated
    Nov 8, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: air temperatureUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Air Temperature and Afternoon Air Temperature. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Evening Air Temperature Observations in Floating-Point (°F)

  18. S

    Data from: Planning Areas

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 26, 2022
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    Enterprise GIS (2022). Planning Areas [Dataset]. https://data.sanjoseca.gov/dataset/planning-areas
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    zip, arcgis geoservices rest api, kml, geojson, html, csvAvailable download formats
    Dataset updated
    Apr 26, 2022
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    The Planning Areas Map includes fifteen (15) planning areas, which are large sub-areas of San José. Due to their permanent boundaries, these areas are especially valuable in the collection and analysis of data over long periods of time. For example, the Planning Division uses planning areas to monitor the supply and absorption of vacant land and to track and forecast development activity.

    Data has never been updated.

  19. a

    Public Right of Way

    • gisdata-csj.opendata.arcgis.com
    • data.sanjoseca.gov
    Updated Aug 11, 2020
    + more versions
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    City of San José (2020). Public Right of Way [Dataset]. https://gisdata-csj.opendata.arcgis.com/maps/public-right-of-way
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    Dataset updated
    Aug 11, 2020
    Dataset authored and provided by
    City of San José
    License

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

    Area covered
    Description

    Public right of way line on which one side has parcels and the other is a public street. This dataset represents easements areas where the City of San Jose can perform projects for example digging out pipes or clean utility manholes.Data is published on Mondays on a weekly basis.

  20. d

    Geologic Map of the Nelson SW Quadrangle, Clark County, Nevada, NBMG M134

    • datadiscoverystudio.org
    • data.wu.ac.at
    pdf, zip
    Updated Jan 1, 2002
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    Eric L. Olson; John W. Bell; James E. Faulds (2002). Geologic Map of the Nelson SW Quadrangle, Clark County, Nevada, NBMG M134 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/5b7906fa94d24e748fd9441891745bbe/html
    Explore at:
    pdf, zipAvailable download formats
    Dataset updated
    Jan 1, 2002
    Authors
    Eric L. Olson; John W. Bell; James E. Faulds
    Area covered
    Description

    1:24,000 scale Geologic Map of the Nelson Quadrangle, Clark County, Nevada. Nevada Bureau of Mines Map 134. Detailed Geologic Mapping By Jame s E . Faulds, John W. Bell, and Eric L. Olson in 2002. Field work done 1999. Map includes two cross sections and 42 geologic units. The quadrangle includes part of the Highland range, Eldorado Valley, and Piute Valley. It contains excellent exposures of early to middle Miocene volcanic and sedimentary rocks, the upper part of the ~16.6 Ma Searchlight. Mining district. The Miocene section rests nonconformably on Early Proterozoic gneiss. As a result of the middle Miocene extension, Tertiary strata are moderately to steeply tilted and cut by complex arrays of normal faults. Flat-lying Quaternary alluvial-fan deposits dominate Eldorado and Piute Valleys and onlap tilted Miocene strata in the Highland Range. The GIS work was in support of the U.S. Geological Survey COGEOMAP program. Office Reviewers: Frank Hillemeyer, La Cuesta International, Inc., Kingman, AZ.; Jonathan Miller, Dept. of Geology, San Jose State University, San Jose, CA.; Alan Ramelli, NBMG; Eugene Smith, Dept. of Geoscience, UNLV. Field Reviewers: Frank Hillemeyer, La Cuesta International, Inc., Kingman, AZ.; Werner Hellmer, Dept. of Building, Clark County; Ryan Murphy, Dept. of Geological Sciences , University of Nevada; John Peck, Consulting Geologist, Las Vegas , NV.; Jonathan Price, NBMG; Alan Ramelli, NBMG. The geologic mapping was supported by the U.S. Geological Survey STATEMAP Program (Agreement No. HQ-AG-2036) and a grant from the National Science Foundation (E AR 98-96032). The 40Ar/39Ar dates were obtained through geochronology labs at the U.S. Geological Survey in Denver, for which we thank Steve Harlan, and the New Mexico Bureau of Mines, for which we thank Bill McIntosh and Matt Heizler. We greatly appreciated the hospitality of several landowners in the area, including Barney and Elaine Reagan, Gene Lambert, and John Kuyger. We also thank the Lake Mead National Recreation Area for providing housing during part of this study. Base map: U.S. Geological Survey Nelson SW 7.5' Quadrangle. To download and view this map resource, map text, and associated GIS zipped data-set, please see the links provided.

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Enterprise GIS (2021). Zoning Districts [Dataset]. https://data.sanjoseca.gov/dataset/zoning-districts

Zoning Districts

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arcgis geoservices rest api, kml, html, csv, zip, geojsonAvailable download formats
Dataset updated
Feb 8, 2021
Dataset provided by
City of San José
Authors
Enterprise GIS
License

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

Description

Land Use Zoning Districts in San Jose, CA.


App: The data can be viewed in web map format at: Land use Zoning

This interactive zoning map identifies the zoning district designations, as referenced in the Zoning Ordinance, of property within the City of San José's incorporated area (City limits). Additional details about the zoning and property can also be found at www.sjpermits.org.

Data is published on Mondays on a weekly basis.

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