Michael G. Barndt
Nonprofit Center of Milwaukee, Inc.
Tools and Tricks for Effective Spatial Analysis Rate Maps
Although "hot spot" maps are very useful in managing crime, rate maps are often more useful for analysis. A rate of vandalism
to population may reveal low population areas with high rates. Or a rate of prisoner reentries with drug problems to all reentries
will target neighborhoods for specific programs. A density map would not reveal these patterns. Rate maps require several
steps, including creation of two density maps and calculation of a rate grid and a "mask" where the rates are not reliable.
When population-based rates are used, additional steps are required to reconcile address-based data sources with block-based
Andrew A Beveridge
Queens College and Graduate Center, The City University of New York
Using Social Explorer, a Web-Based System to Deliver Historical Census Data and Other Data for Small Areas
Social Explorer provides easy web based access to historical census data for the United States through the use of interactive
maps and reports. The workshop will demonstrate the various features of Social Explorer and show how it can be used to profile
neighborhoods and look at neighborhood change. It will also show how one can easily relate crime patterns to demographic patterns
and make all of this available on the web, either publicly or privately.
Loyola University Chicago
Introduction to CrimeStat III
This workshop will present an introduction to CrimeStat III, the spatial statistics program developed by Ned Levine & Associates
and distributed by the Mapping and Analysis for Public Safety Program at NIJ. It will include preparing for analysis, basic
analytic techniques, hot spot techniques, an introduction to modeling travel patterns and space time analysis. The workshop
is targeted to intermediate geographic information systems users.
Spatial Data Analytics Corporation (SPADAC)
Alternative Tools for Crime Mapping and Analysis
The use of software to aid crime analysis practice and research is essential to handle the mountains of data presented to
today’s analysts. The knowledge discovery process includes data manipulation of some sort at each step: Selection, Processing,
Transformation, Data Mining, Interpretation, and Presentation. There are many commercial software packages available, but
many do not include the ability to customize and tailor the workflow to your organization. This workshop will give the audience
the opportunity to learn of free and open source alternative software in the context of crime analysis workflow, and will
demonstrate the effectiveness of these tools for each step of the analytical process. The software addressed in the workshop
includes: databases, spatial databases, data visualization, data transformation, GIS, web mapping, and publishing. A CD with
all software discussed will be included in the workshop materials.
Alternative Tools for Spatial Statistical Analysis
The use of software to aid crime analysis practice and research includes statistical modeling and exploratory data analysis.
This workshop will demonstrate several software packages for spatial analysis available to everyone through government and
open source software initiatives. Some topics covered will be data manipulation, visualization, and spatial statistical analysis.
A CD will be provided with installation media for all software covered in the workshop.
Kent State University
Introduction to Geographic Information Systems (GIS): Data, Functions, and Management
This workshop provides an overview of GIS by lectures and demonstrations for various topics covering data, functions, and
management. For GIS data, we will discuss data models, creation, capture, management, and quality assessment. For GIS functions,
this workshop will cover mapping of GIS and related data, analysis of GIS data, and modeling of information describing geographic
phenomena. Finally, for GIS management, issues in operation, development, and budgeting will be included in this workshop.
Spatial Analysis Laboratory - University of Illinois at Urbana-Champaign
Spatial Data Analysis with GeoDA
This workshop will introduce researchers to mapping and modeling techniques and issues to deal with when analyzing spatial
data. The workshop will emphasize the capabilities of the GeoDA package as a tool for exploratory spatial data analysis (ESDA)
and for conducting spatial autocorrelation analyses and modeling by means of spatial regression analyses. The workshop will
use lattice data, such as points and polygons, to carry out the demos in geovisualization, global spatial autocorrelation,
local spatial autocorrelation, and spatial models, such as quadratic and linear trend surface, spatial lag model, and spatial
Geographic Profiling De-Mystified
Geographic Profiling –prioritization of suspects based on comparing home and work locations to the distribution of crimes
in a series – has become a widely-discussed (and broadly disputed) topic that is a darling of the media. Sensational claims
and lively debate among advocates have attracted increasing attention from professionals. But what exactly are these methods,
and how do they work? In this comprehensive, hands-on workshop, students will thoroughly explore the ins and outs of geographic
profiling, will develop a well-grounded understanding of how these various techniques work “under the hood,” and will learn
to perform them all without any specialized software.
Minneapolis Police Department (MPD)
Automated Probation Alerts – Spatial Analysis of Contacts
The MPD has built an Automated Email Alert System that, among many useful functions, notifies individual probation officers
daily when parolees on their caseload have contact with the MPD. This system ensures timely notice to probation officers throughout
Minnesota of the involvement of their probationers in criminal events in Minneapolis, regardless of the probationer’s role
in the event. This workshop will inform participants about how the System works, the variety of products generated, and how
the spatial analysis of probation contacts was conducted. The results and implications of the study for probation and patrol
functions will be discussed.
James L. LeBeau
Southern Illinois University Carbondale
The Basics of Cartography
The growth of geographic information systems (GIS) in criminal justice has been phenomenal. During the rush to get going with
GIS, new users focused on the technology of making maps, ignoring the science and art of making a map. This serious oversight
limits the efficiency, effectiveness, and in some instances, the credibility of crime mapping. This workshop is a discussion
and illustration of the important basics of cartography. Topics include the elements of a map, generalization and scale, coordinate
systems, visualizing different data scales, symbols and visual variables, color design, and different types of thematic maps.
Ned Levine & Associates
Crime Travel Demand modeling
This workshop presents an overview of crime travel demand modeling, an application of transportation modeling to crime. The
crime travel demand model is usually applied to a metropolitan region, though it can be used for other study areas. Attendees
will learn about the steps involved and how modeling can be used for policy and intervention analysis. The modeling steps
involve a data inventory, trip generation, trip distribution, mode split, and network assignment. Examples will be shown of
using a crime travel demand model to study robbery patterns in a metropolitan area and to explore policy interventions for
reducing DUI/DWI crashes.
Key Spatial Theories of Crime: What You Need to Know!
Do you want to understand why the dots are where they are on your map? Never had a class in criminal behavior? (or has it
been a while?) This session is designed for crime mappers who want a primer on how offenders behave geographically, an understanding
that is essential to targeting police and crime prevention activity. Avoiding all of the warm, fuzzy theories that have little
practical benefit, this session cuts to the chase and will review the key spatial theories that explain why crime happens
when and where it does, including; routine activities, rational choice, and crime pattern theory. The session ends with a
brief introduction to the rationale for geographic profiling.
Philip D. Mielke
Redlands Police Department
Efficient Animation Workflow Using ESRI Model Builder and Macromedia Flash
Crime analysts and cartographers are forced to find creative solutions to the problem of depicting patterns in time. This
workshop will focus on an efficient workflow to create a versatile multimedia product that clearly tells a story and is easily
disseminated. The workshop will begin in theory, move to working with ESRI Model Builder, demonstrate exporting from ArcGIS,
and then bring the pieces together in Macromedia Flash. This workshop is intended for all audiences, but previous experience
with ArcGIS will be beneficial.
John Jay College of Criminal Justice
Environmental Criminology, Problem Oriented Policing
Crime analysts are increasingly called upon to use their crime mapping and GIS skills to support problem-oriented policing
projects. But many new analysts lack knowledge of environmental criminology that would help them to make their full contribution.
These concepts include the problem analysis triangle, the journey to crime, repeat victimization, risky facilities, crime
facilitators, displacement, and diffusion of benefits. The workshop will show how mapping can use these concepts to support
problem-oriented policing projects. It will make use of Crime Analysis for Problem Solvers, a manual published by the COPS
Office during the summer of 2005.
Derek J. Paulsen
Eastern Kentucky University
Accessing and Using Census Data for Crime Analysis
While many crime analysts are familiar with and extremely capable of analyzing crime data at the point or aggregate level,
contextual data is ignored too often when performing analyses. One of the best ways to get a better picture of a crime problem
is through the analysis of contextual data about locations to better understand the area and what may be driving an area crime
problem. Yet, while contextual analysis is highly beneficial, acquiring and using contextual data is often a long and difficult
process, even for the most technologically savvy analyst. This workshop is designed to provide crime analysts with the skills
needed to access, download, manipulate, and analyze census data alongside crime data. Specifically, participants will learn
how to download census data, create working variables from the data, and use it to perform basic and advanced analysis. Participants
will be provided with step-by-step instructions and need not have any prior experience with Microsoft Access, ArcGIS, or SPSS
to complete the workshop.
Jamie Price and Dan Helms
National Law Enforcement and Corrections Technology Center
Moving Practitioners beyond Simple Crime Mapping Techniques
This workshop provides participants with a better appreciation and application of descriptive and inferential statistics in
comparison to relying exclusively on mapping techniques. The workshop will include five components. First, CMAP's Crime Analysis
Tactical Clearing House (CATCH) project will be discussed. CATCH has resulted in the creation of a spatially resolved, standardized
database of both solved and unsolved crime series from across the United States. The second component demonstrates the weaknesses
of analysis through mapping techniques alone. The second component establishes a foundation of basic descriptive and inferential
statistics. The third component focuses on determining which statistical tests are appropriate for specific situations. The
fourth component will be a hands-on demonstration of how to conduct specific analysis and interpret the results. Participants
will conduct statistical analysis using Microsoft Excel software.
Jerry H. Ratcliffe
Maximum Mapping: Presentation and Mapping Skills to Get the Message Across!
Many spatial crime analysts spend weeks working on a project only to see their efforts wasted through mediocre maps or poor
presentations. This session guides crime mappers and people who might not have taken a cartography or presentation skills
class in two ways. The first half explores how people see and interpret color and how this understanding can improve the clarity
and impact of maps and graphics. The second half explains how to convey text and graphical information in a Microsoft PowerPoint
briefing with some simple guidelines. The presentation finishes up with a concise guide to standing up and presenting!
University of Edinburgh
Spatial Regression Techniques
Spatial regression techniques have been implemented in a number of fields, including criminology, economics, demography, and
public health. In this course, we review some of the spatial analytical techniques and their utility in studying social, political,
and economic processes. The workshop helps participants develop an intuitive understanding of the utility of spatial analysis
techniques in social and policy sciences, a working understanding of using spatial analysis software (specifically Spacestat,
GeoDa), and an understanding of the connections between specific spatial statistical techniques and substantive social processes
(e.g., operationalizing diffusion processes).
San Diego County District Attorney’s Office
Internet Crime Mapping: From Conception to Release and Beyond
This workshop will cover the implementation of an Internet crime mapping application. Through the use of a primary case study
(San Diego County Regional Crime MAPS), other examples from around the country, and the experience of the instructor, the
participant will learn about assessing needs, writing requirements, and the variety of tasks necessary to implement this type
of application. The advantages and challenges of public Internet crime mapping will be interactively discussed as well as
the variations between a public and law enforcement-only system. Finally, some how-to’s and resources will be provided.
Ronald E. Wilson
National Institute of Justice
Thematic Mapping Principals
This workshop will address three main themes of the 5 major thematic mapping schemes. First it will address the definitions
of each classification scheme. Second, it will address the advantages and disadvantages of each scheme. Finally, it will address
‘when’ and ‘when not to’ use each scheme and which scheme is most/least appropriate based on the underlying data distribution.
Date Created: January 28, 2008