Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.

This research compares and evaluates different approaches to approximate offense times of crimes. It contributes to and extends all previously proposed naïve and aoristic temporal approximation methods and one recent study [1] that showed that the addition of historical crimes with accurately known...

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Autores principales:	Philip Glasner, Michael Leitner, Lukas Oswald
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/48c5af30c0f94eedbb37a62ba5907b49
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spelling	oai:doaj.org-article:48c5af30c0f94eedbb37a62ba5907b492021-12-02T20:17:47ZEstimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.1932-620310.1371/journal.pone.0253591https://doaj.org/article/48c5af30c0f94eedbb37a62ba5907b492021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253591https://doaj.org/toc/1932-6203This research compares and evaluates different approaches to approximate offense times of crimes. It contributes to and extends all previously proposed naïve and aoristic temporal approximation methods and one recent study [1] that showed that the addition of historical crimes with accurately known time stamps to temporal approximation methods can outperform all traditional approximation methods. It is paramount to work with crime data that possess precise temporal information to conduct reliable (spatiotemporal) analysis and modeling. This study contributes to and extends existing studies on temporal analysis. One novel and one relatively new temporal approximation methods are introduced that rely on weighting aoristic scores with historic offenses with exactly known offense times. It is hypothesized that these methods enhance the accuracy of the temporal approximation. In total, eight different methods are evaluated for apartment burglaries in Vienna, Austria, for yearly and seasonal differences. Results show that the one novel and one relatively new method applied in this research outperform all other existing approximation methods to estimate and predict offense times. These two methods are particularly useful for both researchers and practitioners, who often work with temporally imprecise crime data.Philip GlasnerMichael LeitnerLukas OswaldPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0253591 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Philip Glasner Michael Leitner Lukas Oswald Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.
description	This research compares and evaluates different approaches to approximate offense times of crimes. It contributes to and extends all previously proposed naïve and aoristic temporal approximation methods and one recent study [1] that showed that the addition of historical crimes with accurately known time stamps to temporal approximation methods can outperform all traditional approximation methods. It is paramount to work with crime data that possess precise temporal information to conduct reliable (spatiotemporal) analysis and modeling. This study contributes to and extends existing studies on temporal analysis. One novel and one relatively new temporal approximation methods are introduced that rely on weighting aoristic scores with historic offenses with exactly known offense times. It is hypothesized that these methods enhance the accuracy of the temporal approximation. In total, eight different methods are evaluated for apartment burglaries in Vienna, Austria, for yearly and seasonal differences. Results show that the one novel and one relatively new method applied in this research outperform all other existing approximation methods to estimate and predict offense times. These two methods are particularly useful for both researchers and practitioners, who often work with temporally imprecise crime data.
format	article
author	Philip Glasner Michael Leitner Lukas Oswald
author_facet	Philip Glasner Michael Leitner Lukas Oswald
author_sort	Philip Glasner
title	Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.
title_short	Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.
title_full	Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.
title_fullStr	Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.
title_full_unstemmed	Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.
title_sort	estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: a comparative study using eight different temporal approximation methods in vienna, austria.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/48c5af30c0f94eedbb37a62ba5907b49
work_keys_str_mv	AT philipglasner estimatingandpredictingthetemporalinformationofapartmentburglariesthatpossessimprecisetimestampsacomparativestudyusingeightdifferenttemporalapproximationmethodsinviennaaustria AT michaelleitner estimatingandpredictingthetemporalinformationofapartmentburglariesthatpossessimprecisetimestampsacomparativestudyusingeightdifferenttemporalapproximationmethodsinviennaaustria AT lukasoswald estimatingandpredictingthetemporalinformationofapartmentburglariesthatpossessimprecisetimestampsacomparativestudyusingeightdifferenttemporalapproximationmethodsinviennaaustria
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Estimating and predicting the temporal information of apartment burglaries that possess imprecise time stamps: A comparative study using eight different temporal approximation methods in Vienna, Austria.

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