CrimeStat: Spatial Statistics Program for the Analysis of Crime Incident Locations


(Mephistopholeze) #1

CrimeStat is Windows-based and interfaces with most desktop GIS programs. It provides statistical tools to aid law enforcement agencies and criminal justice researchers in their crime mapping efforts. Many police departments around the country use CrimeStat, as do criminal justice and other researchers.

The program includes more than 100 statistical routines for the spatial analysis of crime and other incidents. CrimeStat inputs incident locations (e.g., robbery locations) in dbf, point shp or ASCII formats using either spherical or projected coordinates. It calculates various spatial statistics and writes graphical objects to ArcGIS, MapInfo, Surfer for Windows and other GIS packages. https://www.nij.gov/topics/technology/maps/pages/crimestat.aspx#about


(Michael Hunger) #2

Is the project implemented using Neo4j?

And if so could you explain a bit how it works, what the data model is etc? And which spatial aspects it uses? The neo4j-spatial libray, or the spatial features in Neo4j 3.4?


(Mephistopholeze) #3

Hi Michael the CrimeStat software is the culmination of various university,law enforcement and geo-spatial analytics together with NIST and the RAND corporation. The link will take you to NIJ National Institute of Justice site. The links from it are fascinating. The use ranges from genetic material for forensic i.d to probability and predictive crime trends.


(Michael Hunger) #4

Interesting, how is it related to Neo4j and this discussion forum though?


(Mephistopholeze) #5

The posts relate to my interests,follow the posted link . All data can be represented visually and neo4j is modular with a great future. I have no constraint except time and plan to enjoy other peoples developments also.
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In this talk, Frederick Kagan from the American Enterprise Institute will present how the analysts from the Critical Threat Projects are using Neo4j and Linkurious to solve these challenges and conduct intelligence analysis. You will learn how the team built a graph-based data-intelligence platform to piece together intelligent pictures of conflict dynamics, understand threats, and produce recommendations." https://neo4j.com/graphconnect-2018/session/graph-technology-fight-terrorism