Change search
ReferencesLink to record
Permanent link

Direct link
Crime hotspots: An evaluation of the KDE spatial mapping technique: Spatial analysis
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]


Crime rates are increasing more and more, especially residential burglaries. This thesis includes a study of the Kernel Density Estimation algorithm, and how to use this algorithm for mapping crime patterns based on geographical data. By visualizing patterns as spatial hotspots, law-enforcements can get a better understanding of how criminals think and act. 


The thesis focuses on two experiments, including measuring the accuracy and performance of the KDE algorithm, as well as the analysis of the amount of crime data needed to compute accurate and reliable results. 


A Prediction Accuracy Index is used to effectively measure the accuracy of the algorithm. The development of a Python test program, which is used for extracting and evaluating the results is also included in the study.  


The data from three geographical areas in Sweden, including Stockholm, Gothenburg and Malmoe are analyzed and evaluated over a time period of one year. 


The study conclude that the usage of the KDE algorithm to map residential burglaries performs well overall when having access to enough crimes. The minimum number of crimes for creating a trustworthy hotspot are presented in the result and conclusion chapters. The results further shows that KDE performs well in terms of execution time and scalability. Finally the study concludes that the amount of data that was available for the study was not enough for producing highly reliable hotspots.

Place, publisher, year, edition, pages
2014. , 76 p.
Keyword [en]
Spatial Analysis, Crime prevention, KDE
National Category
Computer Science
URN: urn:nbn:se:bth-678OAI: diva2:812931
Subject / course
DV1478 Bachelor Thesis in Computer Science
Educational program
DVGIS Security Engineering
Available from: 2015-05-22 Created: 2015-05-20 Last updated: 2015-05-22Bibliographically approved

Open Access in DiVA

fulltext(11679 kB)175 downloads
File information
File name FULLTEXT02.pdfFile size 11679 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Johansson, ErikGåhlin, Christoffer
By organisation
Department of Computer Science and Engineering
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 175 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 288 hits
ReferencesLink to record
Permanent link

Direct link