IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v1y1999i2d10.1007_s101090050009.html
   My bibliography  Save this article

Coupling land use allocation models with raster GIS

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s101090050009
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s101090050009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jgeosy:v:1:y:1999:i:2:d:10.1007_s101090050009. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.