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 create a total of three (3) kml files and corresponding aoristic graphs: 1) density and contour; 2) grid count; and 3) shapefile boundary. (see also:

Version: 0.6
Depends: ggplot2, spatstat, GISTools
Imports: lubridate, classInt, reshape2, rgdal, plotKML, MASS, sp, maptools, RColorBrewer
Published: 2015-01-10
Author: George Kikuchi
Maintainer: George Kikuchi <gkikuchi at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: aoristic results


Reference manual: aoristic.pdf
Package source: aoristic_0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: aoristic_0.6.tgz, r-oldrel: aoristic_0.6.tgz
Old sources: aoristic archive


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