Large-scale geospatial analytics: Problems, challenges, and opportunities

TN Chan, LH U, B Choi, J Xu, R Cheng - Companion of the 2023 …, 2023 - dl.acm.org
Geospatial analytics is an important field in many communities, including crime science,
transportation science, epidemiology, ecology, and urban planning. However, with the rapid …

[HTML][HTML] Characterization of the local mechanical texture of animal meat and meat replacements using multi-point indentation

JNM Boots, NPK Humblet-Hua, L Tonneijck… - Journal of Food …, 2021 - Elsevier
Over consumption of animal meat is a large contributor to environmental change and should
be reduced. This reduction can be achieved by replacing high environmental impact animal …

Spatiotemporal Predictive Geo-Visualization of Criminal Activity for Application to Real-Time Systems for Crime Deterrence, Prevention and Control

M Salcedo-Gonzalez, J Suarez-Paez, M Esteve… - … International Journal of …, 2023 - mdpi.com
This article presents the development of a geo-visualization tool, which provides police
officers or any other type of law enforcement officer with the ability to conduct the …

A Bayesian spatial shared component model for identifying crime-general and crime-specific hotspots

J Law, M Quick, A Jadavji - Annals of GIS, 2020 - Taylor & Francis
The spatial patterning of crime hotspots provides place-based information for the design,
allocation, and implementation of crime prevention policies and programmes. However …

A Bayesian aoristic logistic regression to model spatio-temporal crime risk under the presence of interval-censored event times

Á Briz-Redón - Journal of Quantitative Criminology, 2024 - Springer
Purpose Crime data analysis has gained significant interest due to its peculiarities. One key
characteristic of property crimes is the uncertainty surrounding their exact temporal location …

Hot spots and burning times: A spatiotemporal analysis of calls for service to establish police demand

M Dewinter, C Vandeviver, PM Dau, T Vander Beken… - Applied geography, 2022 - Elsevier
Establishing police demand is important to optimally allocate scarce police resources in
space and time. To contribute to the existing knowledge on the optimization of policing and …

The spatial overlap of police calls reporting street-level and behind-closed-doors crime: A Bayesian modeling approach

M Marco, E Gracia, A López-Quílez, M Lila - International Journal of …, 2021 - mdpi.com
Traditionally, intimate-partner violence has been considered a special type of crime that
occurs behind closed doors, with different characteristics from street-level crime. The aim of …

The Spatio-temporal Epidemiology of Child Maltreatment: Using Bayesian Hierarchical Models to Assess Neighborhood Influences

M Marco, A López-Quílez, E Gracia… - … , Communities and Child …, 2022 - Springer
Bayesian spatio-temporal models are an emerging research approach to the study of the
ecological variations of child maltreatment at the neighborhood level. A small but growing …

[PDF][PDF] Principal Components and Assortativity-based Assessment of the Similarity of Crime Metrics across Coterminous Wards in the City of Chicago

N Meghanathan - Computer and Information Science, 2024 - scholar.archive.org
Abstract The City of Chicago (with 50 wards) has one of the highest crime rates in the US.
We seek to quantitatively assess the similarity of crime metrics across coterminous wards …

Arquitectura de un sistema de geo-visualización espacio-temporal de actividad delictiva, basada en el análisis masivo de datos, aplicada a sistemas de información …

ML Salcedo González - 2023 - riunet.upv.es
[ES] La presente tesis doctoral propone la arquitectura de un sistema de Geo-visualización
Espaciotemporal de actividad delictiva y criminal, para ser aplicada a Sistemas de …