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Title:

On the potential for using selected PCA-based methods to analyze the crime rate in Poland

Group publication title:

Ekonometria = Econometrics

Title in english:

O możliwości wykorzystania wybranych metod analizy danych opartych na PCA do badania poziomu przestępczości w Polsce

Creator:

Misztal, Małgorzata

Subject and Keywords:

crime ; criminal offence ; multivariate exploratory data analysis ; principal component analysis ; factorial maps ; przestępczość ; przestępstwa kryminalne ; wielowymiarowa eksploracyjna analiza danych ; analiza głównych składowych ; mapy czynnikowe

Description:

Econometrics = Ekonometria, 2019, Vol. 23, No. 2, s. 15-32

Abstrakt:

The aim of the paper is to assess the potential for using some selected PCA-based methods to analyze the spatial diversity of crime in Poland during 2000-2017. Classical principal components analysis (PCA) deals with two-way matrices, usually taking into account objects and variables. In the case of data analyzed in the study, apart from two dimensions (objects – voivodships, variables – criminal offences), there is also the dimension of time, so the dataset can be seen as data cube: objects × variables × time. Therefore, this type of data requires the use of methods handling three-way data structures. In the paper the variability of some selected categories of criminal offences in time (2000- -2017) and space (according to voivodships) is analyzed using the between-class and the within-class principal component analysis. The advantage of these methods is, among others, the possibility of the graphical presentation of the results in two-dimensional space with the use of factorial maps

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Wrocław

Date:

2019

Resource Type:

artykuł

Resource Identifier:

doi:10.15611/eada.2019.2.02

Language:

eng

Relation:

Econometrics = Ekonometria, 2019, Vol. 23, No. 2

Access Rights:

Dla wszystkich zgodnie z licencją

License:

CC BY-NC-ND 3.0 PL

Location:

Uniwersytet Ekonomiczny we Wrocławiu