aoristic: aoristic analysis with spatial output (kml)

'Aoristic' is one of the past tenses in Greek and represents an uncertain occurrence time. Aoristic analysis suggested by Ratcliffe (2002) is a method to analyze events that do not have exact times of occurrence but have starting times and ending times. For example, a property crime database (e.g., burglary) typically has a starting time and ending time of the crime that could have occurred. Aoristic analysis allocates the probability of a crime incident occurring at every hour over a 24-hour period. The probability is aggregated over a study area to create an aoristic graph. Using crime incident data with lat/lon, DateTimeFrom, and DateTimeTo, functions in this package creates a total of three (3) kml files and corresponding aoristic graphs: 1) density and contour; 2) grid count; and 3) shapefile boundary. (see also: https://sites.google.com/site/georgekick/software)

Version: 0.4
Depends: ggplot2, spatstat, GISTools
Imports: lubridate, classInt, reshape2
Published: 2014-03-21
Author: George Kikuchi
Maintainer: George Kikuchi <gkikuchi at csufresno.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: aoristic results

Downloads:

Reference manual: aoristic.pdf
Package source: aoristic_0.4.tar.gz
MacOS X binary: aoristic_0.4.tgz
Windows binary: aoristic_0.4.zip
Old sources: aoristic archive