The following is the official announcement of CrimeStat2. Its use is
not limited to crime analysis. It is a toolbox for point pattern
analysis and comes with an excellent manual and it is free.
Crimestat 2 can read mapinfo dat and access files and outputs graphics
to most common GIS.
Dick Block
Richard Block
Department of Sociology
Loyola University
6525 N Sheridan Rd.
Chicago IL 60626
Telephone 773 508 3454
FAX 773 508 7099
email [EMAIL PROTECTED]
The following is the announcement.
>>> "Eric Jefferis" <[EMAIL PROTECTED]> 07/29/02 07:45 AM >>>
The National Institute of Justice (NIJ) Mapping and Analysis for Public
Safety (MAPS) program is pleased to announce the distribution of
version 2.0 of the CrimeStat spatial statistics program (CrimeStat II).
The research was supported by grant number 99-IJ-CX-0044 from NIJ and
the program is freely available. The program is Windows-based and
interfaces with most desktop GIS programs. The purpose is to provide
supplemental statistical tools to aid law enforcement agencies and
criminal justice researchers in their crime mapping efforts. CrimeStat
is being used by many police departments around the country as well as
by criminal justice and other researchers.
The program inputs incident locations (e.g., robbery locations) in
'dbf',
'shp', ASCII, OR ODBC formats using either spherical or projected
coordinates. It calculates various spatial statistics and writes
graphical
objects to ArcView�, ArcGIS�, MapInfo�, Atlas*GIS*, Surfer� for
Windows,
and ArcView Spatial Analyst�. Version 2.0 includes many improvements
to
the functionality of the program including ODBC access, the ability to
save
parameters and alternative reference files, the output of Monte Carlo
simulation data, and an improved help menu that is linked to the
manual.
CrimeStat has a collection of statistical tools for the analysis of
point/incident locations and includes a range of diagnostic and
modeling
spatial statistics, including statistics for measuring spatial
distribution, for examining distances between incident locations, for
detecting hot spots, for interpolating one-variable and two-variable
density surfaces, and for analyzing space-time interactions. New in
version 2.0 is the mode, fuzzy mode, the Spatial and Temporal Analysis
of
Crime module (STAC), a risk-adjusted nearest neighbor clustering
routine,
the Knox index, the Mantel index, and a Correlated Walk Analysis
module. Many of the existing routines from version 1.1 have been
improved. Six of the statistical routines also have a Monte Carlo
simulation to approximate confidence intervals around the calculated
statistic.
Among the many applications for which CrimeStat would be useful is in
detecting changes in crime incidents by time periods (e.g., shifts in
the
pattern of burglaries over time), in identifying concentrations of
incidents within small areas (e.g., a higher incidence in shopping
malls or
in parking lots), in assessing where crime incidents cluster relative
to a
baseline population (e.g., high risk drug clusters), in identifying
emerging hot spots (e.g., a vehicle theft gang concentrating on a
particular neighborhood for a short period of time), in estimating the
likely origin of a serial offender, and in predicting the likely time
and
location for a next crime committed by a serial offender.
CrimeStat is accompanied by three sample data sets and a manual that
gives the background behind the statistics and examples. The current
manual includes examples on the use of CrimeStat by other researchers.
The program and sample data sets are in Windows-based zipped files that
can be downloaded. The manual is a set of individual files in 'pdf'
format that
can also be downloaded.
The program, the manual, and a sample data set can be downloaded from
the the NIJ archivist web page at:
http://www.icpsr.umich.edu/nacjd/crimestat.html
Eric S. Jefferis
Social Science Analyst
National Institute of Justice
810 7th Street, NW
Washington, DC 20531
Tel: 202.616.7108
Fax: 202.616.0275
E-Mail: [EMAIL PROTECTED]
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