Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions - a crime case study

Adepeju, M orcid.org/0000-0002-9006-4934, Rosser, G and Cheng, T (2016) Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions - a crime case study. International Journal of Geographical Information Science, 30 (11). pp. 2133-2154. ISSN 1365-8816

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2016, The Author(s). Published by Taylor & Francis. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Point process, hotspot, prediction, space-time, crime
Dates:
  • Published: November 2016
  • Accepted: 11 February 2016
  • Published (online): 7 April 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Nov 2017 16:08
Last Modified: 16 Nov 2017 16:08
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.1080/13658816.2016.1159684

Share / Export

Statistics