Page 726 - NGTU_paper_withoutVideo
P. 726

Modern Geomatics Technologies and Applications


             [11] M. Azari, A. Tayyebi, M. Helbich, and M. A. Reveshty, “Integrating cellular automata, artificial neural network, and
             fuzzy set theory to simulate threatened orchards: application to Maragheh, Iran,” GIScience & Remote Sensing, vol. 53,
             no. 2, pp. 183–205, Mar. 2016, doi: 10.1080/15481603.2015.1137111

             [12] L. P. e Silva, A. P. C. Xavier, R. M. da Silva, and C. A. G. Santos, “Modeling land cover change based on an artificial
             neural network for a semiarid river basin in northeastern Brazil,” Global Ecology and Conservation, vol. 21, p. e00811,
             Mar. 2020, doi: 10.1016/j.gecco.2019.e00811.

             [13] R. M. Basse, H. Omrani, O. Charif, P. Gerber, and K. Bódis, “Land use changes modelling using advanced methods:
             Cellular automata and artificial neural networks. The spatial and explicit representation of land cover dynamics at the
             cross-border region scale,” Applied Geography, vol. 53, pp. 160–171, Sep. 2014, doi: 10.1016/j.apgeog.2014.06.016.

             [14] L. Beitia-Antero, J. Yáñez, and A. I. G. de Castro, “On the use of logistic regression for stellar classification,” Exp
             Astron, vol. 45, no. 3, pp. 379–395, Aug. 2018, doi: 10.1007/s10686-018-9591-4.

             [15] D. G. Kleinbaum and M. Klein, Eds., “Logistic Regresion for Correlated Data: GEE,” in Logistic Regression: A Self-
             Learning Text, New York, NY: Springer New York, 2002, pp. 327–375.

             [16] نارمع   نای رگسع .ح  and  ،فوکرام   هری جنز زا هدافتسا   , “  ی ناولهپ .پMOLA  نوی سرگر   یی آراک   شی ازفا و هعسوت روظنم هب   یگی اسمه   رتلی ف و

             ی ناکم تاعلاطا ی    روانف ی    سدنهم ی    شهوژپ ی -  ملع هی    رشن  ” ,نارهت رهش : ی دروم هعلاطم   ؛ی ضارا ی    ربراک هناگدنچ   تاریی    غت ینیب شی پ رد ی    قطنم , vol. 3, no.
             2, pp. 89–109, Sep. 2015, doi: 10.29252/jgit.3.2.89.

             [17] D. Guan, W. Gao, K. Watari, and H. Fukahori, “Land use change of Kitakyushu based on landscape ecology and
             Markov model,” Journal of Geographical Science, vol. 18, pp. 455–468, 2008.

             [18] P. R. Benito, J. A. Cuevas, R. B. de la Parra, F. Prieto, J. G. del Barrio, and M. A. Zavala, “Land use change in a
             Mediterranean metropolitan region and its periphery: assessment of conservation policies through CORINE Land Cover
             data and Markov models,” Forest Systems, vol. 19, no. 3, pp. 315–328, 2010.

             [19] P. Cabral and A. Zamyatin, “Procesos de markov en la modelización de alteraciones del uso e ocupación del suelo en
             Sintra-Cascais, Portugal,” Markov processes in modeling land use and land cover changes in Sintra-Cascais, Portugal, vol.
             76, no. 158, pp. 191–198, Jan. 2009.

             [20] X. Yang, X.-Q. Zheng, and L.-N. Lv, “A spatiotemporal model of land use change based on ant colony optimization,
             Markov chain and cellular automata,” Ecological Modelling, vol. 233, pp. 11–19, May 2012, doi:
             10.1016/j.ecolmodel.2012.03.011.

             [21] B. Finlay and A. Agresti, Statistical methods for the social sciences. Dellen, 1986.

             [22] B. Wu, L. Zhang, and Y. Zhao, “Feature Selection via Cramer’s V-Test Discretization for Remote-Sensing Image
             Classification,” IEEE Trans. Geosci. Remote Sensing, vol. 52, no. 5, pp. 2593–2606, May 2014, doi:
             10.1109/TGRS.2013.2263510.

















                                                                                                              10
   721   722   723   724   725   726   727   728   729   730   731