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Coupling land use allocation models with raster GIS

Author

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  • Robert G. Cromley

    (Department of Geography U-148, University of Connecticut, Storrs, CT 06269-2148, USA (e-mail: cromley@uconnvm.uconn.edu; hanink@uconnvm.uconn.edu))

  • Dean M. Hanink

    (Department of Geography U-148, University of Connecticut, Storrs, CT 06269-2148, USA (e-mail: cromley@uconnvm.uconn.edu; hanink@uconnvm.uconn.edu))

Abstract

. As geographic information systems (GIS) have moved from information storage and retrieval operations towards more decision support functions, there is a need for more integration of spatial analytical modules that can assist in locational decisions. This paper presents a methodology for coupling land use allocation models with a raster GIS. For raster systems, the integration of any decision module has been limited by the size of raster datasets that may contain hundreds of thousands of pixels. Therefore, decision heuristics have been used rather than exact methods such as mathematical programming models. For the problem of land use allocation, the special structure of the generalized assignment problem is used here to handle large scale datasets. The advantage of the mathematical programming approach is the additional information associated with the dual variables and opportunity costs that can be used in subsequent sensitivity analyses.

Suggested Citation

  • Robert G. Cromley & Dean M. Hanink, 1999. "Coupling land use allocation models with raster GIS," Journal of Geographical Systems, Springer, vol. 1(2), pages 137-153, July.
  • Handle: RePEc:kap:jgeosy:v:1:y:1999:i:2:d:10.1007_s101090050009
    DOI: 10.1007/s101090050009
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    Citations

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    Cited by:

    1. Bingkui Qiu & Shasha Lu & Min Zhou & Lu Zhang & Yu Deng & Ci Song & Zuo Zhang, 2015. "A Hybrid Inexact Optimization Method for Land-Use Allocation in Association with Environmental/Ecological Requirements at a Watershed Level," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    2. Salim Haddadi, 2019. "Variable-fixing then subgradient optimization guided very large scale neighborhood search for the generalized assignment problem," 4OR, Springer, vol. 17(3), pages 261-295, September.
    3. H. Murat Çelik & Ersin Türk, 2010. "Determination of Optimum Environmental Conservation: Using Multi-Criteria Decision-Making Techniques," European Planning Studies, Taylor & Francis Journals, vol. 19(3), pages 479-499, March.
    4. Yao Lu & Min Zhou & Guoliang Ou & Zuo Zhang & Li He & Yuxiang Ma & Chaonan Ma & Jiating Tu & Siqi Li, 2021. "Sustainable Land-Use Allocation Model at a Watershed Level under Uncertainty," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    5. Theo A Arentze & Aloys W J Borgers & Linda Ma & Harry J P Timmermans, 2010. "An Agent-Based Heuristic Method for Generating Land-Use Plans in Urban Planning," Environment and Planning B, , vol. 37(3), pages 463-482, June.
    6. Bhanage Vinayak & Han Soo Lee & Shirishkumar Gedem, 2021. "Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    7. Opelele Omeno Michel & Yu Ying & Fan Wenyi & Chen Chen & Kachaka Sudi Kaiko, 2021. "Examining Land Use/Land Cover Change and Its Prediction Based on a Multilayer Perceptron Markov Approach in the Luki Biosphere Reserve, Democratic Republic of Congo," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    8. Xiang Luo & Zuo Zhang & Xun Xu & Chongming Li & Lu Zhang, 2020. "Birth without raising: Impact of labor migration on the medical benefits for migrant children in China," Growth and Change, Wiley Blackwell, vol. 51(2), pages 809-832, June.
    9. 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.
    10. Zuo Zhang & Min Zhou & Guoliang Ou & Shukui Tan & Yan Song & Lu Zhang & Xin Nie, 2019. "Land Suitability Evaluation and an Interval Stochastic Fuzzy Programming-Based Optimization Model for Land-Use Planning and Environmental Policy Analysis," IJERPH, MDPI, vol. 16(21), pages 1-23, October.

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