On the Potential for Using Selected PCA-Based Methods to Analyze the Crime Rate in Poland
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...
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| Format: | Article |
| Language: | English |
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Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
2019-01-01
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| Series: | Ekonometria |
| Online Access: | https://journals.ue.wroc.pl/eada/article/view/896 |
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| Summary: | 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.(original abstract) |
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| ISSN: | 2449-9994 |