IDEAS home Printed from https://ideas.repec.org/a/ags/sojoae/30392.html
   My bibliography  Save this article

Markov Intertemporal Land Use Simulation Model

Author

Listed:
  • Burnham, Bruce O.

Abstract

No abstract is available for this item.

Suggested Citation

  • Burnham, Bruce O., 1973. "Markov Intertemporal Land Use Simulation Model," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 5(1), pages 1-6, July.
    • Handle: RePEc:ags:sojoae:30392
    DOI: 10.22004/ag.econ.30392
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/30392/files/05010253.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.30392?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
    ---><---

    References listed on IDEAS

    as
    1. M. C. Hallberg, 1969. "Projecting the Size Distribution of Agricultural Firms—An Application of a Markov Process with Non-Stationary Transition Probabilities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(2), pages 289-302.
    2. T. C. Lee & G. G. Judge & T. Takayama, 1965. "On Estimating the Transition Probabilities of a Markov Process," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 742-762.
    3. Krenz, Ronald D., 1964. "Projection of Farm Numbers for North Dakota With Markov Chains," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 16(3), pages 1-7, July.
    4. Ronald D. Lacewell & Vernon R. Eidman, 1972. "A General Model for Evaluating Agricultural Flood Plains," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(1), pages 92-101.
    5. Frey, H. Thomas & Dill, Henry W., Jr., 1971. "Land Use Change in the Southern Mississippi Alluvial Valley, 1950-69 -- An Analysis Based on Remote Sensing," Agricultural Economic Reports 305630, United States Department of Agriculture, Economic Research Service.
    6. Daniel I. Padberg, 1962. "The Use of Markov Processes in Measuring Changes in Market Structure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 44(1), pages 189-199.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Rahel Hamad & Heiko Balzter & Kamal Kolo, 2018. "Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios," Sustainability, MDPI, vol. 10(10), pages 1-23, September.
    2. Fernandes, Milton Marques & Fernandes, Márcia Rodrigues de Moura & Garcia, Junior Ruiz & Matricardi, Eraldo Aparecido Trondoli & de Almeida, André Quintão & Pinto, Alexandre Siqueira & Menezes, Rômulo, 2020. "Assessment of land use and land cover changes and valuation of carbon stocks in the Sergipe semiarid region, Brazil: 1992–2030," Land Use Policy, Elsevier, vol. 99(C).
    3. Robert Walker, 2004. "Theorizing Land-Cover and Land-Use Change: The Case of Tropical Deforestation," International Regional Science Review, , vol. 27(3), pages 247-270, July.
    4. Maples, Chellie H. & Hagerman, Amy D. & Lambert, Dayton M., 2022. "Ex-ante effects of the 2018 Agricultural Improvement Act’s grassland initiative," Land Use Policy, Elsevier, vol. 116(C).
    5. Lindsay, Bruce E. & Dunn, Daniel L., 1979. "Land Use Projections Under Alternative Policies: A Transition Matrix Approach," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 8(2), pages 1-14, October.
    6. Barbosa, Carolina Cerqueira & Calijuri, Maria do Carmo & Anjinho, Phelipe da Silva & dos Santos, André Cordeiro Alves, 2023. "An integrated modeling approach to predict trophic state changes in a large Brazilian reservoir," Ecological Modelling, Elsevier, vol. 476(C).
    7. Vandeveer, Lonnie R. & Drummond, H. Evan, 1976. "Estimating The Differential Change In Land Use Associated With Reservoir Construction," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 8(1), pages 1-6, July.
    8. Faisal Mumtaz & Yu Tao & Waqar Ahmed Bashir & Mariam Kareem & Wang Gengke & Lingling Li & Barjeece Bashir, 2020. "Transition Of Lulc And Future Predictions By Using Ca-Markov Chain Model (A Case Study Of Metropolitan City Lahore, Pakistan)," Earth Sciences Malaysia (ESMY), Zibeline International Publishing, vol. 4(2), pages 146-151, October.
    9. Lindsay, Bruce E. & Dunn, Daniel L., 1979. "Land Use Projections Under Alternative Policies: A Transition Matrix Approach," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-14, October.
    10. Chih-Da Wu & Chi-Chuan Cheng & Hann-Chung Lo & Yeong-Keung Chen, 2010. "Application of SEBAL and Markov Models for Future Stream Flow Simulation Through Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3773-3797, November.
    11. Lee, John G. & Lacewell, Ronald D. & Ozuna, Teofilo, Jr. & Jones, Lonnie L., 1987. "Regional Impact Of Urban Water Use On Irrigated Agriculture," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(2), pages 1-9, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.
    2. Piet, Laurent, 2008. "The evolution of farm size distribution: revisiting the Markov chain model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44269, European Association of Agricultural Economists.
    3. Legrand D. F, Saint-Cyr, 2017. "Farm heterogeneity and agricultural policy impacts on size dynamics: evidence from France," Working Papers SMART 17-04, INRAE UMR SMART.
    4. Saint-Cyr, Legrand D. F., 2016. "Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235778, Agricultural and Applied Economics Association.
    5. Saint-Cyr, Legrand D. F., 2016. "Farm segmentation and agricultural policy impacts on structural change: evidence from France," 149th Seminar, October 27-28, 2016, Rennes, France 244789, European Association of Agricultural Economists.
    6. Stokes, Jeffrey R., 2006. "Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(2), pages 1-17, October.
    7. Davis, Ernest E., 1971. "Future Structure Of The Texas Cattle Feeding Industry As Projected By Transition Probabilities Utilizing A Convex Program," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 3(1), pages 1-7, December.
    8. Lin, William W. & Coffman, George & Penn, J. B., 1980. "U.S. Farm Numbers, Sizes, and Related Structural Dimensions: Projections to Year 2000," Technical Bulletins 157730, United States Department of Agriculture, Economic Research Service.
    9. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
    10. Smith, Matthew G., 1988. "A Conditional Approach To Projecting Farm Structure," Staff Reports 278025, United States Department of Agriculture, Economic Research Service.
    11. Karantininis, Kostas, 2002. "Information-based estimators for the non-stationary transition probability matrix: an application to the Danish pork industry," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 275-290, March.
    12. Jeffrey M. Gillespie & Joan R. Fulton, 2001. "A Markov chain analysis of the size of hog production firms in the United States," Agribusiness, John Wiley & Sons, Ltd., vol. 17(4), pages 557-570.
    13. Legrand D. F. Saint-Cyr & Laurent Piet, 2017. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 777-795, August.
    14. Madior Fall & Laurent Piet & Muriel Roger, 2010. "Trends in the French commercial farm population," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(3), pages 279-295.
    15. Zimmermann, Andrea & Heckelei, Thomas, 2012. "Differences of farm structural change across European regions," Discussion Papers 162879, University of Bonn, Institute for Food and Resource Economics.
    16. Ethridge, Don E. & Roy, Sujit K. & Myers, David W., 1983. "Changes in the Structure of the Texas High Plains Cotton Ginning Industry, 1967-1999," Archive 259788, Texas Tech University, Department of Agricultural and Applied Economics.
    17. Piet, Laurent, 2011. "Assessing structural change in agriculture with a parametric Markov chain model. Illustrative applications to EU-15 and the USA," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114668, European Association of Agricultural Economists.
    18. Disney, W. Terry & Duffy, Patricia A. & Hardy, William E., Jr., 1988. "A Markov Chain Analysis Of Pork Farm Size Distributions In The South," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.
    19. Davis, Kathy J. & Thornsbury, Suzanne & Ward, Ronald W., 2002. "Consolidation In The Fresh Florida Grapefruit Packing Industry," 2002 Annual meeting, July 28-31, Long Beach, CA 19815, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Thornsbury, Suzanne & Davis, Kathy J. & Ward, Ronald W., 2005. "Fresh Grapefruit Supply-Chain Adjustments: Consolidation in Produce Packing?," Journal of Food Distribution Research, Food Distribution Research Society, vol. 36(3), pages 1-12, November.

    More about this item

    Keywords

    Land Economics/Use;

    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:ags:sojoae:30392. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    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.