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...

Determining the rules that lead to expansion of urban areas has always been a challenging factor in modeling. To overcome this issue, an ANFIS model is proposed enhance simulation growth through automatic production transition rules. Hence, 22 models were trained using different division methods and Cellular Automata-based Markov Chain (CA-MC) was developed examine their efficiencies. The resul...

Conversion rule is a key element for cellular automata (CA) model, and it significant challenging issue both domestic international experts. Traditional research regarding CA models often constructs single conversion the entire study area, without differentiating on basis of unique growth features each location. On this, partitioned heterogeneous land-use simulation model (PHLUS) constructed by...

A number of biological processes, such as invasive plant species and cell migration, are composed of two key mechanisms: motility and reproduction. Due to the spatially exclusive interacting behavior of these processes a cellular automata (CA) model is specified to simulate a one-dimensional invasion process. Three (independence, Poisson, and 2D-Markov chain) approximations are considered that ...

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...

multi agent markov decision processes (mmdps), as the generalization of markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for multi agent reinforcement learning. in this paper, a generalized learning automata based algorithm for finding optimal policies in mmdp is proposed. in the proposed algorithm, mmdp ...

Remote sensing and Geographic Information System (GIS); plays a vital role for studying Land Use Cover (LULC) identifying the main factors useful outcomes. Assessment of urban growth pattern is extremely essential as sprawl seen one potential threats planning. The project has been carried out classification Gandhinagar district Gujarat state. city experienced wide change in LULC last few decade...

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 ...