THE USE OF A GEOGRAPHICALLY WEIGHTED ANALYSIS OF THE MAIN COMPONENTS FOR AGRO-ECOLOGICAL ZONING OF THE TERRITORY OF UKRAINE

A.A. Zymaroieva
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A.A. Zymaroieva: Zhytomyr National Agroecological University

Balanced Nature Using, 2019, vol. 11, issue 1, 82-92

Abstract: Agro-ecological zoning (AEZ) is one of the most important bases for agricultural developmental planning. In this study we provide the geographically weighted principal component analysis (GWPCA) as an alternative method for agro-ecological zoning of a region. GWPCA makes it possible to construct maps of spatial heterogeneity of data, which are necessary tools for agro-ecological zoning of the territory. The potato yield on the territory of 10 regions (206 administrative districts) of Polissya and Forest-steppe zones within Ukraine was selected as the basis for agro-ecological zoning. The global principal components analysis (PCA) allows establishing 3 principal components, which together explain 43.1% of the overall potato yields variability. Geographically weighted principal components analysis allowed to investigate local patterns in the potato yield dynamics and characterized by greater explanatory ability than the total model. The most common method of GWPCA — mapping of the «winning» variables is not suitable for time series analysis. Therefore, based on the close types of local dynamics established clusters for each of the principal component, and was used the mapping of these clusters, instead of displaying «winning» variables. Geographically weighted principal component analysis showed spatial non-stationary of environmental regimes, which determine the oscillating component of potatoes yield variation over time. The spaces, within which the structure of ecological interactions remains unchanged, can be considered as the basis of agro-ecological zoning of the territory.

Keywords: yield; potato; variation; dynamics; trend; geographically weighted principal component analysis (GWPCA); agro-ecological zoning. (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:bnu:journl:v:11:y:2019:i:1:p:82-92

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