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NCJ Number: 204432 Find in a Library
Title: Innovative Crime Mapping Techniques and Spatial Analysis
Author(s): John Mollenkopf; Victor Goldsmith
Corporate Author: Hunter College, CUNY
United States of America
Date Published: 1997
Page Count: 17
Sponsoring Agency: Hunter College, CUNY
New York, NY 10021
National Institute of Justice (NIJ)
Washington, DC 20531
National Institute of Justice/NCJRS
Rockville, MD 20849
NCJRS Photocopy Services
Rockville, MD 20849-6000
Grant Number: 97-LB-VX-K013
Sale Source: National Institute of Justice/NCJRS
Box 6000
Rockville, MD 20849
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Document: PDF
Type: Research (Applied/Empirical)
Format: Document
Language: English
Country: United States of America
Annotation: This report reviews the status of innovative crime mapping techniques and spatial analysis in the cooperative efforts of the City University of New York and the New York Police Department, with a focus on solving the problems of overlaying police crime data with social/demographic data.
Abstract: New developments in Geographic Information Systems (GIS) and spatial analyses have also complicated the analysis of crime data in many ways. This is particularly the case in undertaking the next stage in these analyses, i.e., the overlaying of crime data with other datasets in order to compare the two based on their spatial and temporal relationships. The ability to perform such analyses still has many obstacles, including data input and verification. Issues to be addressed are how the data can best be used, where they can be used, and how they can be interpreted. One goal of the New York Police Department is to overlay demographic data from the U.S. Bureau of the Census with their street files and geocoded crime data. This is typically done by joining tabular data to geographic (map) files, both of which are distributed by the Census Bureau. Another goal is to overlay the 76 precinct maps, as well as sector maps within each precinct, with their street files and geocoded crime data. This report identifies the overlap problems and then describes possible solutions. The solutions are not all-inclusive, and there are many approaches that can be used. The general advice offered in this paper is that in comparing data sets, it is critical to use the same map projections, datums, and coordinate systems; this implies having the same base maps for the data sets. Where there are differences, they can be overcome by changing the pertinent parameters through options in the software, geocoding the data on the same base map as the other datasets, or by importing the data into ArcInfo or equivalent software and then "snapping" the arcs and nodes of one dataset to the arcs/nodes of the other mapped dataset. Also, attention should be given to the street files, their accuracy, commonality, and their role in the accuracy of the geocoding process. Finally, "metadata dictionaries" should be developed throughout the data acquisition, modification, and analysis processes. 7 figures and 1 reference
Main Term(s): Police policies and procedures
Index Term(s): Automated crime analysis; Crime analysis; Crime Mapping; Geographic distribution of crime; Geographic information systems (GIS); New York; NIJ grant-related documents; Police agencies; Police crime analysis training
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