CRAN
aoristic 0.6
aoristic analysis with spatial output (kml)
Released Jan 10, 2015 by George Kikuchi
Dependencies
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: https://sites.google.com/site/georgekick/software)