City of Fresno, CA City Limits

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19221
51
Added
12 Sep 2018

This dataset was first added to Koordinates on 12 Sep 2018.

This layer is sourced from gis4u.fresno.gov.

Layer ID 96890
Data type Vector multipolygon
Feature count 1
Services Vector Query API

Orange County, CA Liquefaction Zones

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14892
52
Added
04 Oct 2018

This dataset was first added to Koordinates on 04 Oct 2018.

This layer is a component of Address Grid.

Layer ID 98182
Data type Vector polygon
Feature count 229
Services Vector Query API

Riverside County, CA Parcels

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11845
108
Updated
21 Jul 2022

This dataset was last updated on Koordinates on 21 Jul 2022.

Polygon feature class graphically representing taxable parcels of land within Riverside County.

Field information:
APN - Assessor's Parcel Number
FLAG - A special designation for the parcel (condos, mobile homes, etc).

© Riverside County Assessor / RCIT

This layer is a component of AsessorTables.

Layer ID 96844
Data type Vector multipolygon
Feature count 845062
Services Vector Query API

California Hillshade (30m)

Licence
10825
1076
Updated
04 Apr 2009

This dataset was last updated on Koordinates on 04 Apr 2009.

California grey-shade hillshade at 30m resolution.

Source: www.atlas.ca.gov/download.html

Layer ID 692
Data type Image/Raster
Resolution 30.000m
Services Raster Tiles Query API

Orange County, CA Parcels

Licence

Copyright may apply. Please check source.

10263
182
Added
04 Oct 2018

This dataset was first added to Koordinates on 04 Oct 2018.

This layer is a component of County of Orange, Supervisorial Districts.

Legal Lots (Parcels)

© OC Public Works, OC Survey, Geospatial Services

Layer ID 98184
Data type Vector multipolygon
Feature count 699877 (incl. 4 with empty or null geometries)
Services Vector Query API

Riverside County, CA Fire Hazard Severity Zones

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Copyright may apply. Please check source.

9390
40
Added
12 Sep 2018

This dataset was first added to Koordinates on 12 Sep 2018.

Government Code 51175-89 directs the California Department of Forestry and Fire Protection (CAL FIRE) to identify areas of very high fire hazard severity zones within Local Responsibility Areas (LRA). Mapping of the areas, referred to as Very High Fire Hazard Severity Zones (VHFHSZ), is based on data and models of, potential fuels over a 30-50 year time horizon and their associated expected fire behavior, and expected burn probabilities to quantify the likelihood and nature of vegetation fire exposure (including firebrands) to buildings. Details on the project and specific modeling methodology can be found at frap.cdf.ca.gov/projects/hazard/methods.html. Local Responsibility Area VHFHSZ maps were initially developed in the mid-1990s and are now being updated based on improved science, mapping techniques, and data. This specific geographic information system dataset depicts final CAL FIRE recommendations for Very High FHSZs within the local jurisdiction. The process of finalizing these boundaries involved an extensive local review process, the details of which are available at frap.cdf.ca.gov/projects/hazard/btnet/ (click on "Continue as guest without logging in"). Local government has 120 days to designate, by ordinance, very high fire hazard severity zones within its jurisdiction after receiving the recommendation. Local government can add additional VHFHSZs. There is no requirement for local government to report their final action to CAL FIRE when the recommended zones are adopted. Consequently, users are directed to the appropriate local entity (county, city, fire department, or Fire Protection District) to determine the status of the local fire hazard severity zone ordinance. To display the areas of VHFHSZ recommended by CAL FIRE, simply display on the attribute HAZ_CLASS, as that has been filtered to represent only areas in the Very High Class, and only for areas that are in Local Responsibility Area (LRA) status.

© CAL FIRE recoginzes the important contribution of various local government entities that contributed data, maps, and comments that were critical components of the FHSZ mapping process.

This layer is a component of PlanningData.

Layer ID 96850
Data type Vector multipolygon
Feature count 780
Services Vector Query API

California Liquefaction Zones

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9223
78
Updated
26 Jun 2019

This dataset was last updated on Koordinates on 26 Jun 2019.

This layer is a component of Web server for AP and SHZ zones.

This is a digital Seismic Hazard Zone Map presenting areas where liquefaction and landslides may occur during a strong earthquake. Three types of geological hazards, referred to as seismic hazard zones, may be featured on the map: 1) liquefaction, 2) earthquake-induced landslides, and 3) overlapping liquefaction and earthquake-induced landslides. In addition, a fourth feature may be included representing areas not evaluated for liquefaction or earthquake-induced landslides. Developers of properties falling within any of the three zones may be required to investigate the potential hazard and mitigate its threat during the local permitting process.

© Seismic Hazards Progam, California Geological Survey, California Department of Conservation

Layer ID 97126
Data type Vector polygon
Feature count 1696
Services Vector Query API

San Mateo County, CA City Boundaries

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9178
29
Added
12 Sep 2018

This dataset was first added to Koordinates on 12 Sep 2018.

This layer is sourced from maps.smcgov.org.

Layer ID 97043
Data type Vector multipolygon
Feature count 64
Services Vector Query API

California 2020 Projected Urban Growth

Licence
9663
159
Updated
02 Apr 2009

This dataset was last updated on Koordinates on 02 Apr 2009.

20 year Projected Urban Growth scenarios. Base year is 2000. Projected year in this dataset is 2020.

By 2020, most forecasters agree, California will be home to between 43 and 46 million residents-up from 35 million today. Beyond 2020 the size of California's population is less certain. Depending on the composition of the population, and future fertility and migration rates, California's 2050 population could be as little as 50 million or as much as 70 million. One hundred years from now, if present trends continue, California could conceivably have as many as 90 million residents.

Where these future residents will live and work is unclear. For most of the 20th Century, two-thirds of Californians have lived south of the Tehachapi Mountains and west of the San Jacinto Mountains-in that part of the state commonly referred to as Southern California. Yet most of coastal Southern California is already highly urbanized, and there is relatively little vacant land available for new development. More recently, slow-growth policies in Northern California and declining developable land supplies in Southern California are squeezing ever more of the state's population growth into the San Joaquin Valley.

How future Californians will occupy the landscape is also unclear. Over the last fifty years, the state's population has grown increasingly urban. Today, nearly 95 percent of Californians live in metropolitan areas, mostly at densities less than ten persons per acre. Recent growth patterns have strongly favored locations near freeways, most of which where built in the 1950s and 1960s. With few new freeways on the planning horizon, how will California's future growth organize itself in space? By national standards, California's large urban areas are already reasonably dense, and economic theory suggests that densities should increase further as California's urban regions continue to grow. In practice, densities have been rising in some urban counties, but falling in others.

These are important issues as California plans its long-term future. Will California have enough land of the appropriate types and in the right locations to accommodate its projected population growth? Will future population growth consume ever-greater amounts of irreplaceable resource lands and habitat? Will jobs continue decentralizing, pushing out the boundaries of metropolitan areas? Will development densities be sufficient to support mass transit, or will future Californians be stuck in perpetual gridlock? Will urban and resort and recreational growth in the Sierra Nevada and Trinity Mountain regions lead to the over-fragmentation of precious natural habitat? How much water will be needed by California's future industries, farms, and residents, and where will that water be stored? Where should future highway, transit, and high-speed rail facilities and rights-of-way be located? Most of all, how much will all this growth cost, both economically, and in terms of changes in California's quality of life?

Clearly, the more precise our current understanding of how and where California is likely to grow, the sooner and more inexpensively appropriate lands can be acquired for purposes of conservation, recreation, and future facility siting. Similarly, the more clearly future urbanization patterns can be anticipated, the greater our collective ability to undertake sound city, metropolitan, rural, and bioregional planning.

Consider two scenarios for the year 2100. In the first, California's population would grow to 80 million persons and would occupy the landscape at an average density of eight persons per acre, the current statewide urban average. Under this scenario, and assuming that 10% percent of California's future population growth would occur through infill-that is, on existing urban land-California's expanding urban population would consume an additional 5.06 million acres of currently undeveloped land. As an alternative, assume the share of infill development were increased to 30%, and that new population were accommodated at a density of about 12 persons per acre-which is the current average density of the City of Los Angeles. Under this second scenario, California's urban population would consume an additional 2.6 million acres of currently undeveloped land. While both scenarios accommodate the same amount of population growth and generate large increments of additional urban development-indeed, some might say even the second scenario allows far too much growth and development-the second scenario is far kinder to California's unique natural landscape.

This report presents the results of a series of baseline population and urban growth projections for California's 38 urban counties through the year 2100. Presented in map and table form, these projections are based on extrapolations of current population trends and recent urban development trends. The next section, titled Approach, outlines the methodology and data used to develop the various projections. The following section, Baseline Scenario, reviews the projections themselves. A final section, entitled Baseline Impacts, quantitatively assesses the impacts of the baseline projections on wetland, hillside, farmland and habitat loss.

Layer ID 670
Data type Vector polygon
Feature count 9097
Services Vector Query API

Los Angeles Sewer Lines

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6952
63
Updated
21 Jul 2022

This dataset was last updated on Koordinates on 21 Jul 2022.

This layer is sourced from lacitydbs.org.

Layer ID 98169
Data type Vector linestring
Feature count 159353
Services Vector Query API
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