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Original Articles

An Application of Principal Component Analysis on Multivariate Time-stationary Spatio-temporal Data

Une application de l’Analyse de Composante principale sur des données spatio-temporelles à temps stationnaire multivarié

Una aplicación del análisis de componentes principales sobre datos multivariables espacio-temporales y estacionarios en el tiempo

关于多变量短时平稳时空数据的主成分分析应用

Pages 160-180 | Received 28 Feb 2014, Accepted 06 Nov 2014, Published online: 27 Mar 2015

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Mirosław Krzyśko, Peter Nijkamp, Waldemar Ratajczak, Waldemar Wołyński & Beata Wenerska. (2023) Spatio-temporal principal component analysis. Spatial Economic Analysis 0:0, pages 1-22.
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Bianca M. Colosimo & Marco Grasso. (2018) Spatially weighted PCA for monitoring video image data with application to additive manufacturing. Journal of Quality Technology 50:4, pages 391-417.
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B. Fingleton, M. Abreu, P. Amaral, L. Corrado, F. Fuerst, H. Garretsen, D. Igliori, J. Le Gallo, P. McCann, J. McCombie, V. Monastiriotis, G. Pryce & J. Yu. (2015) Editorial. Spatial Economic Analysis 10:2, pages 127-136.
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Articles from other publishers (3)

Kyusoon Kim, Hee‐Seok Oh & Minsu Park. (2022) Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure. Environmetrics 34:4.
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Lindsey E. Fenderson, Adrienne I. Kovach & Bastien Llamas. (2019) Spatiotemporal landscape genetics: Investigating ecology and evolution through space and time. Molecular Ecology 29:2, pages 218-246.
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Harvey Whitehouse, Pieter François, Patrick E. Savage, Thomas E. Currie, Kevin C. Feeney, Enrico Cioni, Rosalind Purcell, Robert M. Ross, Jennifer Larson, John Baines, Barend ter Haar, Alan Covey & Peter Turchin. (2019) RETRACTED ARTICLE: Complex societies precede moralizing gods throughout world history. Nature 568:7751, pages 226-229.
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