Chula Vista zoning

Planning Area boundaries for Open Data Portal. View of the maintained landdev open data dataset.

Zoning Districts within Sarpy County & the cities of Bellevue, Gretna, La Vista, Papillion, & Springfield, NebraskaData current as of the last business day.

Zoning Overlay Districts within Sarpy County & the cities of Bellevue, Gretna, La Vista, Papillion, & Springfield, NebraskaData current as of the last business day.

This dataset contains parcel-based General Plan data for the City of Escondido. Parcels that have multiple GP classes are represented by the Split General Plan layer.

Visit the City's website for more information about the Zoning Code or the General Plan

This dataset is scheduled for regular updates on the first Wednesday of each month.

E1: Estate IE2: Estate IIR1: Rural IR2: Rural IIS: SuburbanU1: Urban IU2: Urban IIU3: Urban IIIU4: Urban IVU5: Urban VGC: General CommercialNC: Neighborhood CommercialO: OfficePC: Planned CommercialPO: Planned OfficeGI: General IndustrialIO: Industrial OfficeLI: Light IndustrialP: Public Land per Open SpaceSPA 1: Palos Vista Specific PlanSPA 3: Rancho San Pasqual Specific PlanSPA 5: Northeast Gateway Specific PlanSPA 6: Lomas Del Lago Specific PlanSPA 8: Escondido Research Technology Center (Harmony Grove) Specific PlanSPA 9: Downtown Specific PlanSPA 12: East Grove Specific PlanSPA 13: Imperial Oakes Corporate Center Specific PlanSPA 15: South Centre City Specific Plan

Map of the existing and planned new roads, Benton County zoning, and urban growth boundary in the Oak Creek watershed. Prepared for the Marys River Watershed Council and the Oak Creek Watershed Network by Clara Eshaghpour, Americorps/Vista intern in June 2021.

This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (scvmf.ps, scvmf.pdf, scvmf.txt), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:24,000 or smaller.

This part of SIM 3302 presents data for the seafloor-character map (see sheet 5, SIM 3302) of the Offshore of Coal Oil Point map area, California. The raster data file is included in "SeafloorCharacter_OffshoreCoalOilPoint_5m.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html. These metadata describe the seafloor-character data collected at 5-m resolution. See "SeafloorCharacter_OffshoreCoalOilPoint_2m_metadata.txt" metadata for a description of the seafloor-character data collected at 2-m resolution. The raster-format seafloor-character map shows five substrate classes of the Offshore of Coal Oil Point map area. The substrate classes mapped in this map area have been colored to indicate in which of the following California Marine Life Protection Act depth zones and slope classes they belong: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), Depth Zone 4 (100 to 200 m), Slope Class 1, 0 degrees to 5 degrees (flat), Slope Class 2, 5 degrees to 0 degrees (sloping), and Slope Class 3, 30 degrees to 60 degrees (steeply sloping). Depth Zone 1 (intertidal), Depth Zone 5 (greater than 200 m), and Slope Classes 4 and 5, greater than 60 degrees (vertical to overhang) are not present in this map area. The map is created using a supervised classification method described by Cochrane (2008), available at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. Bathymetry data were collected at two different resolutions: at 2-m resolution, down to approximately 80-m water depth (2006-2008 USGS data, and 2007 CSUMB data); and at 5-m resolution, in the deeper areas (2009 Fugro Pelagos data). The final resolution of the seafloor-character map is determined by the resolution of both the backscatter and bathymetry datasets; therefore, separate seafloor-character maps were generated to retain the maximum resolution of the source data. References Cited: California Department of Fish and Game, 2008, California Marine Life Protection Act master plan for marine protected areas--Revised draft: California Department of Fish and Game, accessed April 5, 2011, at http://www.dfg.ca.gov/mlpa/masterplan.asp. Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska: Fairbanks, University of Alaska, Alaska Sea Grant College Program, p. 185-194, accessed April 5, 2011, at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. Sappington, J.M., Longshore, K.M., and Thompson, D.B., 2007, Quantifying landscape ruggedness for animal habitat analysis--A case study using bighorn sheep in the Mojave Desert: Journal of Wildlife Management, v. 71, p. 1,419-1,426.

Zoning Districts within Sarpy County & the cities of Bellevue, Gretna, La Vista, Papillion, & Springfield, NebraskaData current as of the last business day.