Kernal Density Estimation (KDE) vs. hot-spot analysis - detecting criminal hot spots in the city of San Francisko
| Author: | Maja KalinicGND, Jukka M. KrispORCiDGND |
|---|---|
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/70502 |
| URL: | https://agile-online.org/conference_paper/cds/agile_2018/shortpapers/66%20Kernel%20Density%20Estimation%20(KDE)%20vs.%20Hot-Spot%20Analysis%20-%20Detecting%20Criminal%20Hot%20Spots%20in%20the%20City%20of%20San%20Francisco_UPDATE.pdf |
| Parent Title (English): | Proceedings 2018 - The 21th AGILE International Conference on Geographic Information Science: Geospatial Technologies for All (AGILE 2018), June 12-15, 2018, Lund, Sweden |
| Editor: | A. Mansourian, P. Pilesjö, L. Harrie, R. von Lammeren |
| Type: | Conference Proceeding |
| Language: | English |
| Year of first Publication: | 2018 |
| Release Date: | 2020/02/13 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Geographie | |
| Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Angewandte Geoinformatik |
