Abstract
A need exists for expanding agricultural lands due to increased demand for food production and security. Some regions can convert available land to agricultural land use. To evaluate available land for future agricultural production, geographic information systems (GIS) and GIS-based multicriteria evaluation (MCE) methods can be used to identify land suitability. This study proposes and implements the soft computing logic of the logic scoring of preference (LSP) method as an improved GIS-based MCE method for evaluating areas suitable for agriculture. Datasets from Boulder County, Colorado, USA, have been used to apply the GIS-based LSP method. The GIS-based MCE methods using additive scoring as simple aggregation has also been used to determine suitability and to compare with the LSP method. Results indicated that the LSP method can produce more refined agricultural land suitability maps. The proposed methodology can be used as an integral part of land use planning.
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- 1.
ANSY denotes ANalysis and SYnthesis of aggregation operators. This acronym is used for numerical analysis and synthesis of partial conjunction, partial disjunction, conjunctive partial absorption, and disjunctive partial absorption.
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Acknowledgements
This study was fully funded by a Natural Sciences and Engineering Research Council (NSERC) of Canada Discovery Grant awarded to the second author. The authors are thankful for valuable comments from two anonymous reviewers.
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Montgomery, B., Dragićević, S., Dujmović, J. (2017). Using Soft Computing Logic and the Logic Scoring of Preference Method for Agricultural Land Suitability Evaluation. In: Griffith, D., Chun, Y., Dean, D. (eds) Advances in Geocomputation. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-22786-3_20
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