Scholarly record

MODIFICATION OF THE ALGORITHM FOR ASSESSING AN EXTERNAL PLOT PATCHWORK FOR THE PURPOSES OF IMPROVING THE EFFECTIVENESS OF LAND CONSOLIDATION WORKS

Grzegorz Oleniacz

Abstract

Long-term research on the ownership structure of individual farms in rural areas has shown that these areas are characterized by a defective patchwork of private land ownership. The sizes of the patchwork may limit, and often even prevent, the programming of works on agricultural land. The development of an algorithm for identifying areas characterized by a strong concentration of a defective patchwork of land ownership allows the selection of these areas (groups of villages) where land replacement works should be carried out first. This will allow improving the spatial structure of land use and eliminating the defective patchwork of land ownership, and thus ensure effective expenditure of funds allocated for these purposes. The problem was noticed for the first time by Noga who carried out research on the size of the patchwork of private land ownership using the checkerboard method based on information regarding a single feature of the land use structure. This method has been improved thanks to the use of an aggregated dependency matrix and Czekanowski?s diagram. This allowed grouping villages into clusters sharing a number of important characteristics. During further work on the modified checkerboard method, some numerical problems have been noticed. They manifest themselves by favouring pairs of villages with strong unilateral dependencies for individual features, at the expense of pairs of villages with mutually balanced interactions. Le? tried to solve this problem by supplementing the algorithm with appropriately assigned weights for individual features depending on the intensity of their occurrence. This publication presents a modification of and development on this concept using the example of the gmina of Parady? situated in ??d? voivodeship in Poland. ABSTRACT Long-term research on the ownership structure of individual farms in rural areas has shown that these areas are characterized by a defective patchwork of private land ownership. The sizes of the patchwork may limit, and often even prevent, the programming of works on agricultural land. The development of an algorithm for identifying areas characterized by a strong concentration of a defective patchwork of land ownership allows the selection of these areas (groups of villages) where land replacement works should be carried out first. This will allow improving the spatial structure of land use and eliminating the defective patchwork of land ownership, and thus ensure effective expenditure of funds allocated for these purposes. The problem was noticed for the first time by Noga who carried out research on the size of the patchwork of private land ownership using the checkerboard method based on information regarding a single feature of the land use structure. This method has been improved thanks to the use of an aggregated dependency matrix and Czekanowski?s diagram. This allowed grouping villages into clusters sharing a number of important characteristics. During further work on the modified checkerboard method, some numerical problems have been noticed. They manifest themselves by favouring pairs of villages with strong unilateral dependencies for individual features, at the expense of pairs of villages with mutually balanced interactions. Le? tried to solve this problem by supplementing the algorithm with appropriately assigned weights for individual features depending on the intensity of their occurrence. This publication presents a modification of and development on this concept using the example of the gmina of Parady? situated in ??d? voivodeship in Poland.

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DOI resolver: doi.org/10.5593/sgem2018/2.2/s08.039

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