Upload
frederick-gray
View
221
Download
2
Embed Size (px)
Citation preview
Density Estimation
• Converts points to a raster• The density of points in the
neighborhood of a pixel• No “Z” value is used• ArcMap has a simple “Point Density” tool
– Each pixel=number of points within radius• Kernel Density is related to Kernel
Smoothing but different
Density Estimation
• Simple point density: Golf courses
Rockware
Fail
Density Estimation Using Kernels
• Creates a raster from points– Weight (attribute) optional– Not really interpolation
• “Kernel function” applied to points near target pixel
• Different functions are available• High parameters make a “wide” pile,
small values make a “narrow” pile
Width of Kernel• Determines
smoothness of surface – narrow kernels
produce bumpy surfaces
– wide kernels produce smooth surfaces
Kernel Density in ArcGIS 10• Under Spatial Analyst -> Kernel
Density• The kernel function is based on the
quadratic kernel function described in Silverman (1986, p. 76, equation 4.5).
Overview• This analysis show where point features are
concentrated.• Estimations are based on probability “kernels”
– regions around each point location containing some likelihood of point presence.
• The width of the kernel is based on the smoothing parameter (h)
• The output is often called a Utilization Distribution (UD) Grid.
• Methods include: minimum convex polygons, bivariate ellipses, adaptive and fixed kernels
Kernel Density in ArcGIS
How to select parameters?
• What should the cell size be?• What should the search radius be?
Origins of Computer Viruses
Origins of Email Spam
Kernel Density Output
Other tool extensions for kernel density:
• Home Range Tools• Animal Movement • Biotas• Home Ranger 1.5• KernelHR
Spatial Stats Toolbox
• New in ArcGIS 10• Additional tools in
ArcGIS 10.2• By Lauren
Rosenshein
Hot-Spot Analysis
• Layer may show “hot-spot” but is it really?
• Z-score and P-value are required– Z-score = high or low values together?– P-value = random?
Hot-Spot Analysis
• High z-values indicate a significantly high or low value– 2.5=cluster of high or low
values• P-value is the chance a
pattern is random– 0.01=probably not random
Hot-Spot Analysis Tool
Citations• Bugoni, L., D'Alba, L., and Furness, R. W. (2009) Marine
habitat use of wintering spectacled petrels Procellaria conspicillata, and overlap with longline fishery. Marine Ecology Progress Series 374:273-285.
• Mitchell, Brian R. (2007) Comparison of Programs for Fixed Kernel Home Range Analysis http://www.wildlife.org/wg/gis/newsletter/jun06/hrcompar.htm
• Silverman, B. W. Density Estimation for Statistics and Data Analysis. New York: Chapman and Hall, 1986.
• ArcGIS 10 resource center; Kernel Density (Spatial Analyst) http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#//009z0000000s000000.htm– http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#/Un
derstanding_density_analysis/009z0000000w000000/– http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#//00
9z00000011000000.htm