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)


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install.packages("aoristic")

0.6 by George Kikuchi, 3 years ago


Browse source code at https://github.com/cran/aoristic


Authors: George Kikuchi


Documentation:   PDF Manual  


GPL (>= 2) license


Imports lubridate, classInt, reshape2, rgdal, plotKML, MASS, sp, maptools, RColorBrewer

Depends on ggplot2, spatstat, GISTools


See at CRAN