Title: Open Source Crime Prediction for the National Institute of Justice
Author(s): Gregory Ledray
Date Published: October 2017
Annotation: The author - one of the winners in the National Institute of Justice's (NIJ's) Real- Time Crime Forecasting Challenge - describes how he used open-source software to predict crime in Portland, Oregon over a 3-month period
Abstract: The geospatial open software used is OpenJump. This is an open-source alternative to Esri's ArcGIS. OpenJump was used to take an existing shapefile that contained geographic information on Portland, Oregon and generate a new shapefile with squares of a desired size. After creating the shapefiles with OpenJump, a way to parse those shapefiles without using Esri's software was needed. This was achieved with a C library called Shapelib. A C program was then written to map the point data provided from Portland to the geographic squares, The data were outputted to a csv file where the line in the file was related to the square number. The web source for Shapelib documentation is provided. Almost all of the implementation documentation from the work is provided in this paper.
Main Term(s): Law Enforcement Technology
Index Term(s): Computer software; Crime prediction; Data analysis; National Institute of Justice (NIJ); NIJ Resources
Grant Number: 2016-NIJ-Challenge-0003
Sponsoring Agency: National Institute of Justice (NIJ)
Sale Source: National Institute of Justice (NIJ)
810 Seventh Street NW
Type: Program/Project Description; Report (Technical Assistance); Report (Technical)