Abstract The spatiotemporal analysis of land use/land cover change and monitoring, modeling, forecasting the future uses are considered challenges facing planners decision-makers in developing countries. These increased neighborhood areas surrounding large cities, which known as “rural–urban continuum”. have become preferred for resettlement most urban residents. objectives present study were t...

Ketahanan pangan selalu menjadi agenda penting dalam pembangunan nasional. Pada satu sisi, pertumbuhan penduduk membutuhkan ruang dan pangan. Penelitian bertujuan untuk menganalisis prediksi perubahan lahan sawah di wilayah perkotaan Pangkajene pada tahun 2028 serta mengetahui potensi terhadap persepsi masyarakat Pangkajene. Metode yang digunakan penelitian ini adalah metode kuantitatif deskrip...

Urban growth, a dynamic and demographic phenomenon, refers to the increased spatial value of urban areas, such as cities towns, due social economic forces. Nowadays, lands are rapidly increasing, replacing non-urban agricultural, forest, water, rural, open lands. In this study, CA-Markov model was utilized predict growth their trends in Seremban, Malaysia. The performance also assessed. Markov ...

In this paper we study the measure-theoretical entropy of the one-dimensional linear cellular automata (CA hereafter) Tf [−l,r], generated by local rule f(x −l, . . . , xr) = r ∑ i=−l λixi(mod m), where l and r are positive integers, acting on the space of all doubly infinite sequences with values in a finite ring Zm, m ≥ 2, with respect to a Markov measure. We prove that if the local rule f is...

Quick population increase and the desire for urbanization are main drivers accelerating urban expansion on agricultural lands in Egypt. This issue is obvious governorates with no desert backyards. study aims to (1) explore trend of Land Use Cover Change (LULCC) through period 1991–2018; (2) upgrade reliability predicting LULCC by integrating Cellular Automata (CA)-Markov chain fuzzy analytical ...

State wide variant topographic features in North Carolina attract the hydro-climatologist. There is none modeling study found that predict future Land Cover Land Use (LCLU) change for whole North Carolina. In this study, satellite-derived land cover maps of year 1992, 2001 and 2006 of North Carolina were integrated within the framework of the Markov-Cellular Automata (Markov-CA) model which com...