METHODS EMPLOYED IN RESEARCH ON THE SPATIAL STRUCTURE OF AGRICULTURE

Kołodziejczak Anna
Additional contact information
Kołodziejczak Anna: Institute of Socio-Economic Geography and Spatial Management, Adam Mickiewicz University, Poznań, Poland

Quaestiones Geographicae, 2013, vol. 32, issue 4, 33-38

Abstract: The research conducted in the field of agricultural geography concerns both, the conditions and factors controlling the spatial structure of rural areas. It includes several lines of study, like an assessment of the natural environment for agricultural purposes, designing land-use maps, examining agricultural suburban zones, model approaches to agriculture, the spatial structure of agriculture, methods of the typology and regionalisation of agriculture, or multi- functionality of agriculture. They make use of a great variety of methods. This article presents methods employed in research on the spatial structure of agriculture. It defines the notion of a spatial structure, the consequences that follow from it, and methodological assumptions. The methods discussed embrace statistical methods of studying the spatial structure of agriculture, those used to determine elements predominating in this structure and to describe its heterogeneity, as well as mathematical and spatial-econometric models.

Keywords: agricultural geography; spatial structure of agriculture; research methods (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/quageo-2013-0031 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:quageo:v:32:y:2013:i:4:p:33-38:n:4

DOI: 10.2478/quageo-2013-0031

Access Statistics for this article

Quaestiones Geographicae is currently edited by Andrzej Kostrzewski

More articles in Quaestiones Geographicae from Sciendo
Bibliographic data for series maintained by Peter Golla ().