Košík

0542554 - ÚVGZ 2022 RIV HU eng J - Článek v odborném periodiku
Egidi, G. - Edwards, Magda - Cividino, S. - Gambella, F. - Salvati, Luca
Exploring non-linear relationships among redundant variables through non-parametric principal component analysis: An empirical analysis with land-use data.
Regional Statistics. Roč. 11, č. 1 (2021), s. 25-41. ISSN 2063-9538. E-ISSN 2064-8243
Výzkumná infrastruktura: CzeCOS III - 90123
Institucionální podpora: RVO:86652079
Klíčová slova: species-diversity * landscape * growth * region * assemblages * indicators * indexes * sprawl * level * city * multidimensional techniques * spearman non-parametric coefficients * Principal Component Analysis (PCA) * large data sets * indicators * regional science
Obor OECD: Physical geography
Způsob publikování: Omezený přístup
https://www.academia.edu/44560921/Exploring_non_linear_relationships_among_redundant_variables_through_non_parametric_principal_component_analysis_An_empirical_analysis_with_land_use_data
Trvalý link: http://hdl.handle.net/11104/0319941