Geodesic
A stochastic modeling algorithm for the long-term land cover change forecasting
Matematičeskoe modelirovanie, Tome 22 (2010) no. 11, pp. 148-160.

Voir la notice de l'article provenant de la source Math-Net.Ru

The peculiarities of a stochastic algorithm for the long-term land cover change modeling are considered. Its components are identified which affect a predictability of the modeling process and increase its computational expense. The techniques to reduce computational expenses of the algorithm are developed. It is based on the processing of the most important elements of the expected transition areas matrix. An example of the algorithm approbation using the proposed techniques demonstrating dramatic decreases of its computational expense for the long-term modeling is presented.
Keywords: landscape, stochastic modeling, cellular automata, long-term forecasting, computational expenses. 
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     title = {A stochastic modeling algorithm for the long-term land cover change forecasting},
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A. V. Zamyatin. A stochastic modeling algorithm for the long-term land cover change forecasting. Matematičeskoe modelirovanie, Tome 22 (2010) no. 11, pp. 148-160. http://geodesic.mathdoc.fr/item/MM_2010_22_11_a11/

[1] Deivis Sh. M., Landgrebe D. A., Fillips T. L. i dr., Distantsionnoe zondirovanie: kolichestvennyi podkhod, per s angl., Nedra, M., 1983, 415 pp.

[2] Vinogradov B. V., Aerokosmicheskii monitoring ekosistem, Nauka, M., 1984, 320 pp.

[3] Zamyatin A. V., “Analiz dinamiki landshaftnogo pokrova na osnove dannykh distantsionnogo zondirovaniya Zemli”, Issledovanie Zemli iz kosmosa, 2006, no. 6, 50–64

[4] Fulong Wu., “Calibration of stochastic cellular automata: the application to rural-urban land conversions”, Int. J. Geographical Information Science, 16:4 (2002), 795–818

[5] Xia Li, Antony Gar-On Yeh., “Data mining of cellular automata's transition rules”, Int. J. Geographical Information Science, 18:8 (2004), 723–744 | DOI

[6] Clarke K. C., Gaydos J., “Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore”, Int. J. Geographical information science, 12:7 (1998), 699–714 | DOI

[7] Syphard A. D., Clarke K. C., Franklin J., “Using a cellular automaton model to forecast the effects of urban growth on habitat pattern in southern California”, Ecological Complexity, 2005, no. 2, 185–203 | DOI

[8] Naumov L. A., Shalyto A. A., “Kletochnye avtomaty. Realizatsiya i eksperimenty”, Mir PK, 2003, no. 8, 64–71

[9] Clark Labs, Geoinformation system Idrisi Kilimanjaro, [Elektronnyi resurs], 14.04.2010 Rezhim dostupa svobodnyi: http://www.clarklabs.org/

[10] Silva E. A., Clarke K. C., “Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal”, Computers, Environment and Urban Systems, 26:6 (2002), 525–552 | DOI

[11] O'Sullivan D., Torrens P. M., “Cellular models of urban systems”, Theoretical and Practical Issues on Cellular Automata, Springer-Verlag, London, 2000, 108–117

[12] Li X., Yeh A. G. O., “Data mining of cellular automata's transition rules”, International Journal of Geographical Information Science, 18 (2004), 723–744

[13] Dietzel C., Clarke K. C., “Decreasing Computational Time of Urban Cellular Automata Through Model Portability”, Geoinformatica, 2006, no. 10, 197–211 | DOI