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

The main priorities of the common agricultural policies European Union (EU) are improvement quality life in rural areas for their inhabitants as well optimum utilisation resources. most efficient tools to improve management conditions and utilise potential land consolidation works aimed at creating more favourable agriculture forestry through improving territorial structure farms, forests forestland; reasonable configuration land, aligning limits real properties with system irrigation; drainage facilities, roads terrain. development Poland its production capacity considerably differentiated terms space. At present, has which, many respects, have a chance competing other member states Union. However, some areas, run by private farms owned individuals is on verge falling below limit profitability or falls profitability. Currently, lacks (strategies) allowing identification intensive information about that should be developed non-agricultural purposes. Therefore, it necessary develop methodology identifying similar using available can facilitate reliable relating indicated factors. Taxonomic methods used clustering study materials data derived from property register databases referring one districts (poviats) situated east-central Poland. As final result, method villages according land-use categories was developed. It created two independent statistical methods: Ward’s complete-linkage method. highest consistency observed groups identified types sharing very characteristics. A high index similarity both methods—the so-called Rand index—testified reliability results calculations. corresponded large extent actual features defining use analysed terrain relief.