Package: aoristic
Type: Package
Title: aoristic analysis with spatial output (kml)
Version: 0.4
Date: 2014-03-20
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 creates 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
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.
Packaged: 2014-03-20 21:38:52 UTC; gkikuchi
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-21 01:15:52
Built: R 3.1.0; ; 2014-03-27 13:44:23 UTC; unix
