Dataset Identification:
Resource Abstract:
- description: These data are a Kernel Density layers produced using ArcGIS. The Kernel analysis is a nonparametric statistical
method for estimating probability densities from a set of points. Conceptually, a smooth raster surface is fitted over each
point. The surface value is highest at the location of the point and diminishes with increasing distance (i.e.search radius),
eventually reaching zero. A default value is calculated by the analysis tool for the search radius based on the input data;
increasing the radius has little affect on the density value. Although more points will fall inside a larger search radius
the number will be divided by a larger area when calculating density resulting in a more generalized output raster. The volume
under the surface equals the weighted value for the point. The weights were created by Knowledge Networks and applied to the
points based on demographics. The density of the output raster is calculated by adding the values of all the individual surfaces
where they overlap. The point's weighted value determines the number of times to count the point. For example, a weighted
value of 1.5 would cause the point to be counted one and half times. The resulting dataset is a smooth raster surface depicting
the intensity use or density of an activity. Based on previous experience and after conducting some tests, all of the activity
datasets were given a search radius of one mile. In discussing a similar project with the Oregon Department of Parks and Recreation
we discovered that most visitors to the coast stay within a mile of their activity location. This distance also proved to
be a good match to the mapped activities. Link to the Dataset - ftp://ftp.dfg.ca.gov/R7_MR/NONCONSUMPTIVE/NCCSR/BeachCombing.zip;
abstract: These data are a Kernel Density layers produced using ArcGIS. The Kernel analysis is a nonparametric statistical
method for estimating probability densities from a set of points. Conceptually, a smooth raster surface is fitted over each
point. The surface value is highest at the location of the point and diminishes with increasing distance (i.e.search radius),
eventually reaching zero. A default value is calculated by the analysis tool for the search radius based on the input data;
increasing the radius has little affect on the density value. Although more points will fall inside a larger search radius
the number will be divided by a larger area when calculating density resulting in a more generalized output raster. The volume
under the surface equals the weighted value for the point. The weights were created by Knowledge Networks and applied to the
points based on demographics. The density of the output raster is calculated by adding the values of all the individual surfaces
where they overlap. The point's weighted value determines the number of times to count the point. For example, a weighted
value of 1.5 would cause the point to be counted one and half times. The resulting dataset is a smooth raster surface depicting
the intensity use or density of an activity. Based on previous experience and after conducting some tests, all of the activity
datasets were given a search radius of one mile. In discussing a similar project with the Oregon Department of Parks and Recreation
we discovered that most visitors to the coast stay within a mile of their activity location. This distance also proved to
be a good match to the mapped activities. Link to the Dataset - ftp://ftp.dfg.ca.gov/R7_MR/NONCONSUMPTIVE/NCCSR/BeachCombing.zip
Citation
- Title An Economic and Spatial Baseline of Coastal Recreation in the North Central Coast of California - Beach Combing.
-
- creation Date
2018-01-10T09:51:04.597582
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T19:47:22Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T19:47:22Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:a14611a5-429f-4b53-99d9-81502d327cac
Metadata record format is ISO19139 XML (MD_Metadata)