The Efficacy of Hotspot Mapping Techniques In Crime Prediction And Optimization

Volume 20 No 7 (2022)

Aakriti Yadav, Nikita Verma, Saumya Rawat, Akshay Kumar, Deepak Bisht, Adarsh Ojha

DOI: 10.14704/nq.2022.20.7.NQ33202

Abstract

In hotspot policing, predictive hotspot mapping is significantly vital. Existing approaches, such as kernel density estimation (KDE), does not take the temporal component of crime into account. This paper provides a spatial-temporal paradigm for predicting hotspot mapping and evaluation, based on previous research in related disciplines

Keywords

crime hotspot mapping, crime prediction, spatial analysis, GIS, Hotspot, KDE (Kernel Density Estimation)

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.