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Name: Offshore Substrate

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Description: This shapefile displays the distribution of substrate types from Pt. Arena to Pt. Sal in central/northern California. Originally this data consisted of seven paper maps (California Continental Margin Geologic Map Series) with a resolution of 1:250,000. These maps were used as baseline information for recent revisions and incorporation of high resolution multibeam data conducted by geologists from California State University - Monterey Bay and Moss Landing Marine Laboratory.

Copyright Text: Center for Coastal Monitoring and Assessment, California Continental Margin Geologic Map Series (Maps 4-6), California Division of Mines and Geology, USGS, California Coastal Commission

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Layer: Offshore Surficial-Sediment (1)

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Name: Offshore Surficial-Sediment

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Layer: usSEABED Lab-Derived Data (2)

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Description: This data layer (PAC_EXT.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S. Pacific continental margin integrated using the software system dbSEABED. This data layer represents the extracted (EXT) output of the dbSEABED mining software and contains data items which were extracted from the data resources files and generally represent lab-based analytical data. The EXT data are usually considered the most rigorous data available, although some data may represent a subsample of the sediment (that is, large shells or stones may have been excluded from the analysis). This file contains the same data fields as the parsed (PAC_PRS) and calculated (PAC_CLC) data files, and the three files may be combined.

Copyright Text: We thank the contributors of the data and the following interns for their assistance in data entry, coding, and testing, and (or) assistance with source metadata: K. Halimeda Kilbourne, Carolynn Box, Tara Kneeshaw, Jennifer Mendonca, April Villagomez, Monica Iglecia, and Adam Jackson.

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Layer: usSEABED Sediment Approximation (3)

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Description: This data layer (PAC_PRS.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S. Pacific continental margin integrated using the dbSEABED software system. This data layer represents the parsed (PRS) output of the dbSEABED mining software. It contains the numeric results parsed from text-based descriptions held in the data resource files (DRF). Because it relies on descriptions, the PRS data are less precise than the extracted data (PAC_EXT), but may include information on outsized elements and consolidation that are often not in lab-analyzed data. This file contains the same data fields as the extracted (PAC_EXT) and calculated (PAC_CLC) data files, and the three files may be combined.

Copyright Text: We thank the contributors of the data and the following interns for their assistance in data entry, coding, and testing, and (or) assistance with source metadata: K. Halimeda Kilbourne, Carolynn Box, Tara Kneeshaw, Jennifer Mendonca, April Villagomez, Monica Iglecia, and Adam Jackson.

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Layer: Beach Sand Deposits 2006 (4)

Name: Beach Sand Deposits 2006

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Description: The supplemental information lists the geology data files, by county, and the name of the ESRI shapefile used in the creation of this dataset. All data was projected in Teale Albers, NAD83, and then reprojected to WGS 1984. All files can be found in the folder for the respective county in the CRSMIS database.

Copyright Text: USGS, CGS

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Layer: San Diego Nearshore Seafloor Substrate (5)

Name: San Diego Nearshore Seafloor Substrate

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Description: The layer is meant to display those locations offshore where bedrock is present, as these locations may support sensitive habitats that could be adversely affected by sediment management activities. These data are intended for science researchers, students, policy makers, and the general public. The data can be used with GIS or other software to display the seafloor substrate types of the Nearshore Coastal Zone of the San Diego Region.This layer was provided to CSMW by Moffatt Nichol as part of their efforts related to the San Diego Coastal RSM Plan. The original data was reportedly compiled by SANDAG as part of the "San Diego nearshore program" Symbology is displayed according to "descrip" attribute, and entries indicated "bedrock" and "cobble". Numerous entries were left blank, and so the decriptor "other" is used for those polygons.

Copyright Text: KTU+A Landscape Architecture & Planning, Moffatt Nichol, San Diego Nearshore Habitat Mapping Program (http://nearshore.ucsd.edu/), San Diego Association of Governments (SANDAG)

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Layer: GGNRA Marine Benthic Habitat Mapping (6)

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• Whitezone Benthic Habitats
Name: GGNRA Marine Benthic Habitat Mapping

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Layer: Benthic Habitats (7)

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Copyright Text: Center for Habitat Studies, Moss Landing Marine Laboratories, Golden Gate National Recreation Area, National Park Service, ESA PWA (ESA and Philip Williams & Associates, Ltd.), California Coastal Sediment Management Workgroup

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Copyright Text: Center for Habitat Studies, Moss Landing Marine Laboratories, Golden Gate National Recreation Area, National Park Service, ESA PWA (ESA and Philip Williams & Associates, Ltd.), California Coastal Sediment Management Workgroup

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Copyright Text: Center for Habitat Studies, Moss Landing Marine Laboratories, Golden Gate National Recreation Area, National Park Service, ESA PWA (ESA and Philip Williams & Associates, Ltd.), California Coastal Sediment Management Workgroup

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Copyright Text: Center for Habitat Studies, Moss Landing Marine Laboratories, Golden Gate National Recreation Area, National Park Service, ESA PWA (ESA and Philip Williams & Associates, Ltd.), California Coastal Sediment Management Workgroup

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Description: The San Francisco-Pacifica Coast grid map was extracted from the California Geological Survey Map Sheet 58 that covers the entire state of California and originally published in May of 2011. It made use of several data layers such as Landslide Inventory, Geology, Rock Strength and Slope of varying scales and formats. For the statewide analysis of landslide susceptibility, the methodology of Wilson and Keefer (1985) was used in combining the rock strength and slope data layers as implemented by Ponti, el al. (2008) to create classes of landslide susceptibility. These classes express the generalization that on very low slopes, landslide susceptibility is low even in weak materials, and that landslide susceptibility increases with slope and in weak rocks. The extracted grid map is composed of two data layers (Arc GRID Integer): sfcoast_sus- landslide susceptibility (1.16 MB) with cell value from 0 to 10 (low to high) representing susceptibility classes. sfcoast_ls10-existing landslides in digital form (43.3 KB) with cell value of 10 (assigned to the highest susceptibility class by default).

Copyright Text: Wills C.J., Perez, F., Gutierrez, C., 2011, Susceptibility to deep-seated landslides in California: California Geological Survey Map Sheet 58 (http://www.conservation.ca.gov/cgs/information/publications/ms/Documents/MS58.pdf) Suggested citations: Graymer, R.W., Moring, B.C. Saucedo, G.J., Wentworth, C.M., Brabb, E.E., and Knudsen, K.L., 2006, Geologic Map of the San Francisco Bay Region: U.S. Geological Survey Scientific Investigation Map 2981. Ponti, D.J., Tinsley, J.C. III, Treiman, J.A., and Seligson, H., 2008, Ground Deformation, section 3c in Jones, L. M., Bernknopf, R., Cox, D., Goltz, J., Hudnut, K., Mileti, D., Perry, S., Ponti, D., Porter, K., Reichle, M., Seligson, H., Shoaf, K., Treiman, J., and Wein, A., 2008, The ShakeOut Scenario: U.S. Geological Survey Open-File Report 2008-1150 and California Geological Survey Preliminary Report 25 http://pubs.usgs.gov/of/2008/1150/. Spiker, E.C. and Gori, P., 2003, National landslide hazards mitigation strategy : a framework for loss reduction: U.S. Geological Survey Circular 1244, 56 p. Wieczorek, G.F., R.C. Wilson, R.C., and E.L. Harp, 1985. Map Showing Slope Instability during Earthquakes in San Mateo County, California. U.S. Geological Survey Miscellaneous Investigations Series Map I-1257-E. Wills, C.J., and Clahan, K.B., 2006, Developing a map of geologically defined site-conditions categories for California: Bulletin of the Seismological Society of America, V.96 p.1483-1501. Wilson, R.C., and Keefer, D.K., 1985, Predicting areal limits of earthquake-induced landsliding, in J.I. Ziony, editor, Evaluating earthquake hazards in the Los Angeles region – an earth-science perspective: U.S. Geological Survey Professional paper 1360, p.317-345. Wiegers, M.O., (unpublished), Landslide inventory map of the City and County of San Francisco, California: California Geological Survey, map prepared for the Seismic Hazard Zonation Program, 2001, scale 1:24,000. Thornburg, J., (unpublished), Landslide inventory map of the San Francisco South Quadrangle, Santa Mateo County, California; California Geological Survey, map prepared for the Seismic Hazard Zonation Program, 2005, scale 1:24,000.

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Layer: CGS Geologic Maps Index (13)

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Description: All the individual maps from the Geologic Atlas of California and the Regional Geologic map series have been georeferenced for display in a GIS. The purpose of this index is to help users identify and locate geologic maps from the California Geological Survey (CGS).The Geologic Atlas of California was published between 1958 and 1969. It provides a complete, consistent view of the geology of the state, prepared at 1:250,000 scale. The Geologic Atlas uses a single set of rock units defined by geologic time, rather than geologic formations defined by time, and lithology. This allows a simplified, uniform depiction of geologic units. Although more recent and more detailed mapping is available in many areas, this set of maps is still the most detailed interpretation available for the entire state.In an effort to include new geologic mapping completed after publication of the Geologic Atlas of California, CGS began compiling a new Regional Geologic map series at the same scale as the Geologic Atlas. The first of this new series was published in 1981. The Regional Geologic Maps are the same scale and cover the same areas as the previous Geologic Atlas, but show more detail and use geologic formations rather than the simplified geologic time-based units. Six Regional Geologic maps were published at 1:250,000 before CGS changed to completing and publishing 1:100,000 scale geologic maps. Publishing at 1:100,000 allows regional geologic maps to show nearly all of the detail from the original mapping. CGS has published four Regional Geologic maps at 1:100,000 scale and is working on several others.

Copyright Text: California Geological Survey

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Spatial Reference: 102100  (3857)



Drawing Info:
Renderer:
Unique Value Renderer:
Field 1: SERIES
Field 2: SCALE
Field 3: N/A
Field Delimiter: ;
Default Symbol:
N/A
Default Label: N/A
UniqueValueInfos:
• Value: Regional Geologic Maps;1:100,000
  Label: Regional Geologic Maps, 1:100,000
  Description: N/A
  Symbol:
  Style: esriSFSSolid
  Color: [0, 0, 0, 0]
  Outline:
  Style: esriSLSSolid
  Color: [255, 0, 197, 255]
  Width: 2
• Value: Regional Geologic Maps;1:250,000
  Label: Regional Geologic Maps, 1:250,000
  Description: N/A
  Symbol:
  Style: esriSFSSolid
  Color: [0, 0, 0, 0]
  Outline:
  Style: esriSLSSolid
  Color: [255, 255, 0, 255]
  Width: 2
• Value: Geologic Atlas of California;1:250,000
  Label: Geologic Atlas of California, 1:250,000
  Description: N/A
  Symbol:
  Style: esriSFSSolid
  Color: [0, 0, 0, 0]
  Outline:
  Style: esriSLSSolid
  Color: [255, 170, 0, 255]
  Width: 2
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• SHAPE ( type: esriFieldTypeGeometry, alias: Shape )
• PUB_ID ( type: esriFieldTypeString, alias: Publication ID, length: 8 )
• TITLE ( type: esriFieldTypeString, alias: Publication Title, length: 100 )
• SERIES ( type: esriFieldTypeString, alias: Series Name, length: 50 )
• YEAR ( type: esriFieldTypeSmallInteger, alias: Year )
• SCALE ( type: esriFieldTypeString, alias: Scale, length: 12 )
• VIEW_MAP ( type: esriFieldTypeString, alias: View Map Online, length: 100 )
• INTERACTIVE ( type: esriFieldTypeString, alias: Interactive Online Map, length: 100 )
• AUTHORS ( type: esriFieldTypeString, alias: Author(s), length: 50 )
• SHAPE_Length ( type: esriFieldTypeDouble, alias: SHAPE_Length )
• SHAPE_Area ( type: esriFieldTypeDouble, alias: SHAPE_Area )