Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas

The main priorities of the common agricultural policies of the European Union (EU) are improvement of the quality of life in rural areas for their inhabitants as well as the optimum utilisation of rural resources. The most efficient tools to improve the management conditions and utilise the potentia...

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Main Authors: Justyna Wójcik-Leń, Przemysław Leń
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/10/7/664
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author Justyna Wójcik-Leń
Przemysław Leń
author_facet Justyna Wójcik-Leń
Przemysław Leń
author_sort Justyna Wójcik-Leń
collection DOAJ
description The main priorities of the common agricultural policies of the European Union (EU) are improvement of the quality of life in rural areas for their inhabitants as well as the optimum utilisation of rural resources. The most efficient tools to improve the management conditions and utilise the potential of land are land consolidation works aimed at creating more favourable management conditions in agriculture and forestry through improving the territorial structure of farms, forests and forestland; the reasonable configuration of land, aligning the limits of real properties with the system of irrigation; and drainage facilities, roads and terrain. The development of agriculture in Poland and its production capacity are considerably differentiated in terms of space. At present, Poland has agricultural areas which, in many respects, have a chance of competing with agriculture in the other member states of the European Union. However, in some areas, agricultural production run by private farms owned by individuals is on the verge of falling below the limit of profitability or falls below the limit of profitability. Currently, Poland lacks tools (strategies) allowing identification of land for intensive agricultural production as well as information about agricultural land that should be developed for non-agricultural purposes. Therefore, it is necessary to develop a methodology for identifying similar areas using available tools that can facilitate reliable identification of the areas relating to the indicated factors. Taxonomic methods can be used for clustering purposes. The study materials are data derived from real property register databases referring to one of the districts (poviats) situated in east-central Poland. As a final result, a method of clustering villages according to similar land-use categories was developed. It was created using two independent statistical methods: Ward’s method and the complete-linkage method. The highest consistency was observed in two groups of identified types of areas sharing very similar characteristics. A high index of similarity of both methods—the so-called Rand index—testified to the reliability of the results of calculations. The results of clustering corresponded to a large extent to actual features defining the use of land in the analysed villages as well as the terrain relief.
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spelling doaj.art-1e36d586c3a54104aa41941b087b36e62023-11-22T01:26:09ZengMDPI AGLand2073-445X2021-06-0110766410.3390/land10070664Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural AreasJustyna Wójcik-Leń0Przemysław Leń1Department of Environment and Agriculture, District Authority Office in Brzozów, 36-200 Brzozów, PolandDepartment of Environmental Engineering and Geodesy, University of Life Sciences in Lublin, 20-950 Lublin, PolandThe main priorities of the common agricultural policies of the European Union (EU) are improvement of the quality of life in rural areas for their inhabitants as well as the optimum utilisation of rural resources. The most efficient tools to improve the management conditions and utilise the potential of land are land consolidation works aimed at creating more favourable management conditions in agriculture and forestry through improving the territorial structure of farms, forests and forestland; the reasonable configuration of land, aligning the limits of real properties with the system of irrigation; and drainage facilities, roads and terrain. The development of agriculture in Poland and its production capacity are considerably differentiated in terms of space. At present, Poland has agricultural areas which, in many respects, have a chance of competing with agriculture in the other member states of the European Union. However, in some areas, agricultural production run by private farms owned by individuals is on the verge of falling below the limit of profitability or falls below the limit of profitability. Currently, Poland lacks tools (strategies) allowing identification of land for intensive agricultural production as well as information about agricultural land that should be developed for non-agricultural purposes. Therefore, it is necessary to develop a methodology for identifying similar areas using available tools that can facilitate reliable identification of the areas relating to the indicated factors. Taxonomic methods can be used for clustering purposes. The study materials are data derived from real property register databases referring to one of the districts (poviats) situated in east-central Poland. As a final result, a method of clustering villages according to similar land-use categories was developed. It was created using two independent statistical methods: Ward’s method and the complete-linkage method. The highest consistency was observed in two groups of identified types of areas sharing very similar characteristics. A high index of similarity of both methods—the so-called Rand index—testified to the reliability of the results of calculations. The results of clustering corresponded to a large extent to actual features defining the use of land in the analysed villages as well as the terrain relief.https://www.mdpi.com/2073-445X/10/7/664clustering of villagesagricultural landtaxonomic methodslow productivity areas
spellingShingle Justyna Wójcik-Leń
Przemysław Leń
Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas
Land
clustering of villages
agricultural land
taxonomic methods
low productivity areas
title Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas
title_full Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas
title_fullStr Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas
title_full_unstemmed Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas
title_short Evaluation of the Symmetry of Statistical Methods Applied for the Identification of Agricultural Areas
title_sort evaluation of the symmetry of statistical methods applied for the identification of agricultural areas
topic clustering of villages
agricultural land
taxonomic methods
low productivity areas
url https://www.mdpi.com/2073-445X/10/7/664
work_keys_str_mv AT justynawojciklen evaluationofthesymmetryofstatisticalmethodsappliedfortheidentificationofagriculturalareas
AT przemysławlen evaluationofthesymmetryofstatisticalmethodsappliedfortheidentificationofagriculturalareas