Universität Potsdam
Geovisual methods and techniques for the development of three-dimensional tactical intelligence assessments
Abstract
dc:description.abstractThis thesis presents methods, techniques and tools for developing three-dimensional representations of tactical intelligence assessments. Techniques from GIScience are combined with crime mapping methods. The range of methods applied in this study provides spatio-temporal GIS analysis as well as 3D geovisualisation and GIS programming. The work presents methods to enhance digital three-dimensional city models with application specific thematic information. This information facilitates further geovisual analysis, for instance, estimations of urban risks exposure. Specific methods and workflows are developed to facilitate the integration of spatio-temporal crime scene analysis results into 3D tactical intelligence assessments. Analysis comprises hotspot identification with kernel-density-estimation techniques (KDE), LISA-based verification of KDE hotspots as well as geospatial hotspot area characterisation and repeat victimisation analysis. To visualise the findings of such extensive geospatial analysis, three-dimensional geovirtual environments are created. Workflows are developed to integrate analysis results into these environments and to combine them with additional geospatial data. The resulting 3D visualisations allow for an efficient communication of complex findings of geospatial crime scene analysis.
Degree
thesis:*- Level thesis:degree_level
- thesis.doctoral
- Grantor dc:publisher
- Universität Potsdam
- Year
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wolff, Markus
- Contributors dc:contributor
-
- Asche, Hartmut
Subjects
dc:subject × 9Rights
dc:rights- Statement dc:rights
-
- Keine öffentliche Lizenz: Unter Urheberrechtsschutz
Identifiers
dc:identifier.*- Repository record source_url
- https://publishup.uni-potsdam.de/frontdoor/index/index/docId/4805
- OAI identifier oai:identifier
- oai:kobv.de-opus4-uni-potsdam:4805