The Use of Artificial Neural Networks in a Geographical Information System for Agricultural Land-Suitability Assessment

F Wang
Additional contact information
F Wang: Department of Computing and Information Science, University of Guelph, Guelph, Ontario N1G 2W1, Canada

Environment and Planning A, 1994, vol. 26, issue 2, 265-284

Abstract: Agricultural land-suitability assessment involves the analysis of a large variety and amount of physiographic data. Geographical information systems (GISs) may facilitate suitability assessment in data collection. To generate accurate results from the data, appropriate suitability-assessment methods are required. However, the assessment methods which can currently be used with GISs, such as that developed by the United Nations Food and Agriculture Organization and the statistical pattern—classification method, have limitations which may lead to inaccurate assessment. An artificial neural network is an effective tool for pattern analysis. A neural network allows decision rules of greater complexity to be applied in pattern classification. By formulating the land-suitability-assessment problem into a pattern—classification problem, neural networks can be used to achieve results of greater accuracy. In this paper, a neural-network-based method for land-suitability assessment is discussed, and a set of neural networks is described. The integration between the neural networks and a GIS is addressed, and some experimental results are presented and analyzed.

Date: 1994
References: View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/a260265 (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:sae:envira:v:26:y:1994:i:2:p:265-284

DOI: 10.1068/a260265

Access Statistics for this article

More articles in Environment and Planning A
Bibliographic data for series maintained by SAGE Publications ().