IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v77y2003i2p117-136.html
   My bibliography  Save this article

Delineation of suitable areas for crops using a Multi-Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico

Author

Listed:
  • Ceballos-Silva, Alejandro
  • Lopez-Blanco, Jorge

Abstract

No abstract is available for this item.

Suggested Citation

  • Ceballos-Silva, Alejandro & Lopez-Blanco, Jorge, 2003. "Delineation of suitable areas for crops using a Multi-Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico," Agricultural Systems, Elsevier, vol. 77(2), pages 117-136, August.
    • Handle: RePEc:eee:agisys:v:77:y:2003:i:2:p:117-136
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(02)00103-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Cheng Han & Shengbo Chen & Yan Yu & Zhengyuan Xu & Bingxue Zhu & Xitong Xu & Zibo Wang, 2021. "Evaluation of Agricultural Land Suitability Based on RS, AHP, and MEA: A Case Study in Jilin Province, China," Agriculture, MDPI, vol. 11(4), pages 1-23, April.
    2. Kazemi, Fatemeh & Hosseinpour, Nazanin, 2022. "GIS-based land-use suitability analysis for urban agriculture development based on pollution distributions," Land Use Policy, Elsevier, vol. 123(C).
    3. Gallego, Aurea & Calafat, Consuelo & Segura, Marina & Quintanilla, Israel, 2019. "Land planning and risk assessment for livestock production based on an outranking approach and GIS," Land Use Policy, Elsevier, vol. 83(C), pages 606-621.
    4. Rapheal Wangalwa, 2021. "GIS-BASED LAND SUITABILITY ANALYSIS FOR EX-SITU PRODUCTION OF THREATENED Citropsis articulata IN UGANDA," Environment & Ecosystem Science (EES), Zibeline International Publishing, vol. 5(2), pages 101-111, July.
    5. 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.
    6. Yuan Gao & Anyu Zhang & Yaojie Yue & Jing’ai Wang & Peng Su, 2021. "Predicting Shifts in Land Suitability for Maize Cultivation Worldwide Due to Climate Change: A Modeling Approach," Land, MDPI, vol. 10(3), pages 1-31, March.
    7. Gomez, Salvador Parra, 2008. "Protected Horticulture And Environment. An Integral Decision Model For Greenhouse Waste Management In Southeastern Spain," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6399, European Association of Agricultural Economists.
    8. Reshmidevi, T.V. & Eldho, T.I. & Jana, R., 2009. "A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds," Agricultural Systems, Elsevier, vol. 101(1-2), pages 101-109, June.
    9. Jiansheng Ye & Changan Liu, 2012. "Suitability of Mulch and Ridge-furrow Techniques for Maize across the Precipitation Gradient on the Chinese Loess Plateau," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 4(10), pages 182-182, August.
    10. Hillary Mugiyo & Vimbayi G. P. Chimonyo & Mbulisi Sibanda & Richard Kunz & Cecilia R. Masemola & Albert T. Modi & Tafadzwanashe Mabhaudhi, 2021. "Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review," Land, MDPI, vol. 10(2), pages 1-24, January.
    11. Hamid Siroosi & Gholamali Heshmati & Abdolrassoul Salmanmahiny, 2020. "Can empirically based model results be fed into mathematical models? MCE for neural network and logistic regression in tourism landscape planning," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3701-3722, April.
    12. Pilehforooshha, Parastoo & Karimi, Mohammad & Taleai, Mohammad, 2014. "A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand," Agricultural Systems, Elsevier, vol. 130(C), pages 116-125.
    13. Riska Ayu Purnamasari & Tofael Ahamed & Ryozo Noguchi, 2019. "Land suitability assessment for cassava production in Indonesia using GIS, remote sensing and multi-criteria analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 3(1), pages 1-32, February.

    More about this item

    Statistics

    Access and download statistics

    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:eee:agisys:v:77:y:2003:i:2:p:117-136. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.