aoristic : aoristic analysis with spatial output (kml)

Package: aoristic
Type: Package
Title: aoristic analysis with spatial output (kml)
Version: 0.6
Date: 2015-01-10
Author: George Kikuchi
Maintainer: George Kikuchi <gkikuchi@csufresno.edu>
Description: '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)
License: GPL (>= 2)
Depends: ggplot2, spatstat, GISTools
Imports: lubridate, classInt, reshape2, rgdal, plotKML, MASS, sp,
maptools, RColorBrewer
LazyData: true
References: Ratcliffe, J. H. (2002). Aoristic Signatures and the
Spatio-Temporal Analysis of High Volume Crime Patterns. Journal
of Quantitative Criminology, 18(1), 23-43. Arlington PD (n.d.).
Statistical Information. Retrieved from
http://www.arlingtonpd.org/index.asp?nextpg=stats/index.asp.
Accessed in June, 2013.
NeedsCompilation: no
Packaged: 2015-01-10 10:34:35 UTC; gkikuchi
Repository: CRAN
Date/Publication: 2015-01-10 12:06:14