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Rotational grid, PAI‐maximizing crime forecasts
Statistical Analysis and Data Mining, 2018 Crime forecasts are sensitive to the spatial discretizations on which they are defined. Furthermore, while the Predictive Accuracy Index (PAI) is a common evaluation metric for crime forecasts, most crime forecasting methods are optimized using maximum likelihood or other smooth optimization techniques. Here we present a novel methodology that jointly (
George Mohler, Michael D Porter
exaly +4 more sources
COVID-19 pandemic and crime in Serbia in 2020 [PDF]
Crimen (Beograd), 2021 This paper examines c rime in Serbia in 2020 when the actual Covid-19 pandemic has started. The first part of the paper is dedicated to presentation of relevant literature which analyzed crime during the pandemic in different countries.
Lukić Natalija
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OPTIMIZED FEATURES AND DEEP LEARNING BASED CRIME TRENDS PREDICTION
ICTACT Journal on Soft Computing, 2021 Crime Prediction is an effort of determining future crime with the intention of diminishing them. Post-analysis of the data from past events, Crime prediction forecasts the future crime on the basis of time and location.
J Jeyaboopathiraja, G Maria Priscilla
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Factors influencing temporal patterns in crime in a large American city: A predictive analytics perspective. [PDF]
PLoS ONE, 2018 BACKGROUND:Improving the accuracy and precision of predictive analytics for temporal trends in crime necessitates a good understanding of the how exogenous variables, such as weather and holidays, impact crime.
Sherry Towers +3 more
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A simple crime hotspot forecasting algorithm [PDF]
Annals of Computer Science and Information Systems, 2020 Crime hotspot forecasting is an important part of crime prevention and reducing the delay between a 911 call and the physical intervention. Current developments in the field focus on enriching the historical data and sophisticated point process analysis methods with a fixed grid.
Robert Bogucki +2 more
openaire +2 more sources
A systematic review on spatial crime forecasting [PDF]
Crime Science, 2020 Abstract Background Predictive policing and crime analytics with a spatiotemporal focus get increasing attention among a variety of scientific communities and are already being implemented as effective policing tools. The goal of this paper is to provide an overview and evaluation of the state of the art in spatial crime forecasting focusing on study ...
Ourania Kounadi +3 more
openaire +3 more sources
Crime and COVID-19: effect of changes in routine activities in Mexico City
Crime Science, 2021 Background This study aimed to determine whether crime patterns in Mexico City changed due to the COVID-19 pandemic, and to test whether any changes observed were associated with the disruption of routine activities, as measured by changes in public ...
Patricio R. Estévez-Soto
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Trends in International Security and Trade (Trade Experts’ Roundtable, 2017) [PDF]
The School of Public Policy Publications, 2017 With so many trouble spots in the world, it can be difficult for Canadian businesses to know where to trade successfully and with some assurance of security.
Elinor Sloan
doaj +4 more sources
APPLICATION OF SPECIFIC PREDICTION METHODS IN THE PROCESS OF CRIMINOLOGICAL FORECASTING
Transactions of the VŠB: Technical University of Ostrava, Safety Engineering Series, 2021 The mission of criminology is not only to describe, explain and interpret the existing ones, but it must also anticipate a closer and more distant future.
Roman KMEŤ
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Crime Science, 2021 Confronted by rapidly growing infection rates, hospitalizations and deaths, governments around the world have introduced stringent containment measures to help reduce the spread of COVID-19.
Jason L. Payne +2 more
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