论文信息 - Geospatial Data Integration for Criminal Analysis

Geospatial Data Integration for Criminal Analysis

The aim of the paper is to discuss the problem of geospatial data integration for criminal analysis. In order to integrate and analyze various data sources the platform introduces an object-based data model for each analyzed domain. The paper focuses on the model for geospatial analysis and integration methods that allow to visualize and analyze various data on geographical map. To verify the realized concept, a simple case study is given as an example of the integration results.

Kamil Pietak | Michal Wysokinski | Jacek Dajda | Lukasz Lesniak | Michal Idzik

[1] M. Saravanan,et al. Enabling Real Time Crime Intelligence Using Mobile GIS and Prediction Methods , 2013, 2013 European Intelligence and Security Informatics Conference.

[2] Marek Kisiel-Dorohinicki,et al. Multi-Domain Data Integration for Criminal Intelligence , 2013, ICMMI.

[3] Lin Liu,et al. Crime Simulation Using GIS and Artificial Intelligent Agents , 2008 .

[4] B. Silverman. Density estimation for statistics and data analysis , 1986 .

[5] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[6] Michael Leitner,et al. Crime Modeling and Mapping Using Geospatial Technologies , 2013 .

[7] Ravi Sankar,et al. Grand challenge award: Interactive visual analytics palantir: The future of analysis , 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.

[8] Michael J de Smith,et al. Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools , 2007 .

[9] Robert Haining,et al. Spatial Data Analysis: Theory and Practice , 2003 .