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An Application of Linear Programming and Geographic Information Systems: Cropland Allocation in Antigua

Author

Listed:
  • J C Campbell

    (Office of the General Secretariat of the Organization of American States, PO Box 1231, Port of Spain, Trinidad and Tobago)

  • J Radke

    (Department of Landscape Architecture, University of California at Berkeley, Berkeley, CA 94720, USA)

  • J T Gless
  • R M Wirtshafter

Abstract

This paper is focused on the application of linear programming (LP) in combination with a geographic information system (GIS) in planning agricultural land-use strategies. One of the essential inputs for planning any agricultural land-use strategy is a knowledge of the natural resources. This is even more critical in small countries such as those in the Eastern Caribbean, where land-area limitations dictate a greater need for careful assessment and management of these resources. The first step of the proposed methodology is to obtain an assessment of the natural resources available to agriculture. The GIS is used to delineate land-use conflicts and provide reliable information on the natural-resource database. This is followed by combining the data on natural resources with other quantifiable information on available labour, market forecasts, technology, and cost information in order to estimate the economic potential of the agricultural sector. LP is used in this step. Finally, the GIS is applied again to map the crop and land-allocation patterns generated by the LP model. The results are concrete suggestions for resource allocation, farm-size mix, policy application, and implementation projects.

Suggested Citation

  • J C Campbell & J Radke & J T Gless & R M Wirtshafter, 1992. "An Application of Linear Programming and Geographic Information Systems: Cropland Allocation in Antigua," Environment and Planning A, , vol. 24(4), pages 535-549, April.
    • Handle: RePEc:sae:envira:v:24:y:1992:i:4:p:535-549
    DOI: 10.1068/a240535
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    Cited by:

    1. Sante, Ines & Crecente, Rafael, 2007. "LUSE, a decision support system for exploration of rural land use allocation: Application to the Terra Cha district of Galicia (N.W. Spain)," Agricultural Systems, Elsevier, vol. 94(2), pages 341-356, May.
    2. Yamashita, Ryohei & Hoshino, Satoshi, 2018. "Development of an agent-based model for estimation of agricultural land preservation in rural Japan," Agricultural Systems, Elsevier, vol. 164(C), pages 264-276.
    3. Akpoti, Komlavi & Kabo-bah, Amos T. & Zwart, Sander J., 2019. "Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis," Agricultural Systems, Elsevier, vol. 173(C), pages 172-208.
    4. Xiaoya Ma & Xiang Zhao, 2015. "Land Use Allocation Based on a Multi-Objective Artificial Immune Optimization Model: An Application in Anlu County, China," Sustainability, MDPI, vol. 7(11), pages 1-20, November.
    5. Min Zhou & Shukui Tan & Lizao Tao & Xiangbo Zhu & Ghulam Akhmat, 2015. "An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2269-2290, November.

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