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: https://sites.google.com/site/georgekick/software)

Install the latest version of this package by entering the following in R:
install.packages("aoristic")
AuthorGeorge Kikuchi
Date of publication2015-01-10 12:06:14
MaintainerGeorge Kikuchi <gkikuchi@csufresno.edu>
LicenseGPL (>= 2)
Version0.6

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