Affordable Access

Access to the full text

On the Potential for Using Selected PCA-Based Methods to Analyze the Crime Rate in Poland

Authors
  • Misztal, Małgorzata
Type
Published Article
Journal
Econometrics
Publisher
Sciendo
Publication Date
Jun 01, 2019
Volume
23
Issue
2
Pages
15–32
Identifiers
DOI: 10.15611/eada.2019.2.02
Source
De Gruyter
Keywords
License
Green

Abstract

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.

Report this publication

Statistics

Seen <100 times