The desert-oasis ecotone, as a crucial natural barrier, maintains the stability of oasis agricultural production and protects habitat security. This paper investigates dynamic evolution ecotone in Tarim River Basin predicts near-future land-use change using cellular automata–Markov (CA-Markov) model. Results indicate that overall area shows shrinking trend (from 67,642 km2 1990 to 46,613 2015) ...

Pine wilt disease (PWD) has become a devastating that impacts China’s forest management. It is of great significance to accurately predict PWD on geospatial scale prevent its spread. Using the Cellular Automata (CA)–Markov model, this study predicts occurrence area in Anhui Province 2030 based PWD-relevant factors, such as weather, terrain, population, and traffic. spatial autocorrelation analy...

The present study attempts to model the spatiotemporal urban growth of Kolkata metropolitan area (KMA), India, in a comparative modeling framework using three (remote sensing and geographic information system) RS-GIS integrated techniques, namely stochastic-choice Markov-chain (STCHOICE), cellular automata-Markov (CA-MARKOV), multi-layer perceptron neural network (MLPNN) coupled with approaches...

North Ternate Sub-district is located in the center of City, making it a sub-district that has an increasing population every year. The increase certainly affects built-up land, which environmental damage, climate change and other socio-economic problems. This study aims to predict land cover 2003, 2013, 2023 2032 based on CA-Markov. research used CA-Markov method 2023. results showed 2032, ann...

Mathematical models of Ca release sites derived from Markov chain models of intracellular Ca channels exhibit collective gating reminiscent of the experimentally observed phenomenon of stochastic Ca excitability (i.e., puffs and sparks). Ca release site models are composed of a number of individual channel models whose dynamic behavior depends on the local Ca concentration which is influenced b...