Geospatial-temporal analysis and classification of criminal data in Manila
The use of technology on criminal data has proven to be a valuable tool in forecasting criminal activity. Crime prediction is one of the approaches that help reduce and deter crimes. In this paper, we perform geospatial analysis using the kernel density estimation in ArcGIS 10 to identify the spatio...
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| Main Authors: | , , , |
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| Format: | text |
| Published: |
Animo Repository
2017
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2707 |
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| Institution: | De La Salle University |