@ARTICLE{Głębocki_Benicjusz_Identyfikacja_2018,
 author={Głębocki, Benicjusz and Kacprzak, Ewa and Kossowski, Tomasz},
 volume={tom 183 Teoretyczne i aplikacyjne wyzwania współczesnej geografii społeczno-ekonomicznej},
 journal={Studia KPZK},
 howpublished={online},
 year={2018},
 publisher={Polska Akademia Nauk Komitet Przestrzennego Zagospodarowania Kraju},
 abstract={Identification of agriculture types in Poland with analysis of spatial associations. The aims of the paper were to identify and characterize contemporary agriculture types in Poland, and evaluate the suitability of the typology used. The analysis was performed on the basis of territorial units (communes, LAU2). The study involved a total of 68 variables characterizing agriculture. Spatial associations found in the data were identified. As the next step, an analysis of local spatial autocorrelation was performed and spatial clusters were identified by LISA and cluster analysis performed by the method of k-means clustering, which identified a total of five agriculture types. The study presented the spatial distribution of individual types of agriculture and their characteristics. Furthermore, the method was shown to be especially useful for investigating agricultural phenomena characterized by a large number of traits in relation to a large number of territorial units.},
 type={Artykuły / Articles},
 title={Identyfikacja typów rolnictwa Polski z uwzględnieniem zależności przestrzennych},
 URL={http://ochroma.man.poznan.pl/Content/107802/PDF-MASTER/Studia%20KPZK%20183_G%C5%82%C4%99bocki.pdf},
 keywords={agriculture, agricultural typology, types of agriculture, multicriterion typology of agriculture, Poland},
}