Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Social Science Computer Review
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Block, R.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Reviews

Software Review: Scanning for Clusters in Space and Time

A Tutorial Review of SaTScan

Richard Block

Loyola University of Chicago and the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR)

SaTScan was developed by Martin Kulldorff to scan for temporal, spatial, and spatial temporal clusters. It places circles or ellipses of continuously varying size over a spatial study area and can add time as a continuously varying third-dimension scan. The program offers a wide variety of scanning models. Paraphrasing Kulldorff, SaTScan calculates a Poisson-based model according to a known population at risk, a Bernoulli model which allows for cases and controls, a space-time permutation model that needs only case data, an ordinal model, an exponential model for survival analysis, and a normal model for continuous data. Either the data may be aggregated to a geographic region or each case may have unique coordinates. The end result is quite intuitive and includes the location of a cluster in space and time and the significance of the cluster based on a Monte Carlo simulation. Although analysis is easy to do and interpret, input and output are unnecessarily cumbersome. SaTScan has no direct interface with any statistical, database, or GIS program, but it requires their use.

Key Words: temporal • spatial • cluster • scan

Social Science Computer Review, Vol. 25, No. 2, 272-278 (2007)
DOI: 10.1177/0894439307298562
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Criminal Justice ReviewHome page
R. K. Murray and D. W. Roncek
Measuring Diffusion of Assaults Around Bars Through Radius and Adjacency Techniques
Criminal Justice Review, June 1, 2008; 33(2): 199 - 220.
[Abstract] [PDF]