aspace-package: A collection of functions for estimating centrographic statistics and computational geometries for spatial point patterns
Description
A collection of functions for computing centrographic statistics (e.g., standard distance, standard deviation ellipse), and minimum convex polygons (MCP) for spatial point observations. A tool is also provided for converting geometric objects associated with the centrographic statistics, and MCPs into ESRI Shapefiles. This library was initially conceived to aid in the analysis of spatial patterns of travel behaviour (see Buliung and Remmel, 2008). Major changes in the current version include the separation of plotting and estimation capabilities, and the addition of other centrographic measures (e.g., standard deviation box, centre of minimum distance, central feature).Details
ll{
Package: aspace
Type: Package
Version: 2.5
Date: 2010-08-20
License: GPL (>= 2.0)
}References
Bachi, R. 1963. Standard distance measures and related methods for spatial analysis.
Papers of the Regional Science Association 10: 83-132.
Buliung, R.N. and Remmel, T. (2008) Open source, spatial analysis, and activity travel
behaviour research: capabilities of the aspace package. Journal of
Geographical Systems, 10: 191-216.
Buliung, R.N. and Kanaroglou, P.S. (2006) Urban form and household activity-travel
behaviour. Growth and Change, 37: 174-201.
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Levine, N. 2002. CrimeStat II: A Spatial Statistics Program for the Analysis
of Crime Incident Locations (version 2.0) Houston TX/National Institute of Justice,
Washington DC: Ned Levine & Associates.
Mohr, C.O. 1947. Table of equivalent populations of North American mammals.
American Midland Naturalist, 37: 223-249.