v.kernel(1grass) GRASS GIS User's Manual v.kernel(1grass) NAME v.kernel - Generates a raster density map from vector points map. Density is computed using a moving kernel. Optionally generates a vec- tor density map on a vector network. KEYWORDS vector, kernel density, point density, heatmap, hotspot SYNOPSIS v.kernel v.kernel --help v.kernel [-oqnm] input=name [net=name] [output=name] [net_out- put=name] radius=float [dsize=float] [segmax=float] [dist- max=float] [multiplier=float] [node=string] [kernel=string] [--overwrite] [--help] [--verbose] [--quiet] [--ui] Flags: -o Try to calculate an optimal radius with given ’radius’ taken as maximum (experimental) -q Only calculate optimal radius and exit (no map is written) -n In network mode, normalize values by sum of density multiplied by length of each segment. Integral over the output map then gives 1.0 * multiplier -m In network mode, multiply the result by number of input points --overwrite Allow output files to overwrite existing files --help Print usage summary --verbose Verbose module output --quiet Quiet module output --ui Force launching GUI dialog Parameters: input=name [required] Name of input vector map with training points net=name Name of input network vector map output=name Name for output raster map net_output=name Name for output vector density map Outputs vector map if network map is given radius=float [required] Kernel radius in map units dsize=float Discretization error in map units Default: 0. segmax=float Maximum length of segment on network Default: 100. distmax=float Maximum distance from point to network Default: 100. multiplier=float Multiply the density result by this number Default: 1. node=string Node method Options: none, split Default: none none: No method applied at nodes with more than 2 arcs split: Equal split (Okabe 2009) applied at nodes kernel=string Kernel function Options: uniform, triangular, epanechnikov, quartic, triweight, gaussian, cosine Default: gaussian DESCRIPTION v.kernel generates a raster density map from vector points data using a moving kernel. Available kernel density functions are uniform, triangu- lar, epanechnikov, quartic, triweight, gaussian, cosine, default is gaussian. The module can also generate a vector density map on a vector network. Conventional kernel functions produce biased estimates by overestimat- ing the densities around network nodes, whereas the equal split method of Okabe et al. (2009) produces unbiased density estimates. The equal split method uses the kernel function selected with the kernel option and can be enabled with node=split. NOTES The multiplier option is needed to overcome the limitation that the re- sulting density in case of a vector map output is stored as category (integer). The density result stored as category may be multiplied by this number. For the gaussian kernel, standard deviation for the gaussian function is set to 1/4 of the radius. With the -o flag (experimental) the command tries to calculate an opti- mal radius. The value of radius is taken as maximum value. The radius is calculated based on the gaussian function, using ALL points, not just those in the current region. EXAMPLES Compute density of points (using vector map of schools from North Car- olina sample dataset): g.region region=wake_30m v.kernel input=schools_wake output=schools_density radius=5000 multiplier=1000000 r.colors map=schools_density color=bcyr School density KNOWN ISSUES The module only considers the presence of points, but not (yet) any at- tribute values. REFERENCES • Okabe, A., Satoh, T., Sugihara, K. (2009). A kernel density es- timation method for networks, its computational method and a GIS-based tool. International Journal of Geographical Informa- tion Science, Vol 23(1), pp. 7-32. DOI: 10.1080/13658810802475491 SEE ALSO v.surf.rst Overview: Interpolation and Resampling in GRASS GIS AUTHORS Stefano Menegon, ITC-irst, Trento, Italy Radim Blazek (additional kernel density functions and network part) SOURCE CODE Available at: v.kernel source code (history) Accessed: unknown Main index | Vector index | Topics index | Keywords index | Graphical index | Full index © 2003-2022 GRASS Development Team, GRASS GIS 7.8.7 Reference Manual GRASS 7.8.7 v.kernel(1grass)
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