aoristic 0.6

aoristic analysis with spatial output (kml)

Released Jan 10, 2015 by George Kikuchi

This package cannot yet be used with Renjin it depends on other packages which are not available: GISTools 0.7-4, plotKML 0.5-8, and rgdal 1.3-4


rgdal 1.3-4 GISTools 0.7-4 plotKML 0.5-8 ggplot2 3.0.0 spatstat 1.56-1 maptools 0.9-3 lubridate 1.7.4 RColorBrewer 1.1-2 MASS 7.3-50 classInt 0.2-3 reshape2 1.4.3 sp 1.3-1

'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:



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