Projections and predictions of urban growth provide information that can lead to a certain level preparedness for making cities resilient sustainable. To ascertain the degree confidence in predicting growth, this paper back-tests Cellular Automata (CA)-Markov Prediction Model (PM) by comparing results model 2010 2020 with actual land-use patterns Isparta same years. The data used are Landsat im...

investors use different approaches to select optimal portfolio. so, optimal investment choices according to return can be interpreted in different models. the traditional approach to allocate portfolio selection called a mean - variance explains. another approach is markov chain. markov chain is a random process without memory. this means that the conditional probability distribution of the nex...

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 ...

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...

In order to control the development of urban space, it is important explore scientific methods provide a reference for regional territorial space planning. On basis minimum cumulative resistance (MCR) model and cellular automaton (CA)-Markov model, we constructed new technical method delineating boundaries, exploring temporal spatial distribution characteristic land use in Wuhan from 2010 2020 ...

In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...

This study analyzes the characteristics of land use/land cover change in Jordan’s Irbid governorate, 1984–2018, and predicts future land use/land cover for 2030 and 2050 using a cellular automata-Markov model. The results inform planners and decision makers of past and current spatial dynamics of land use/land cover change and predicted urban expansion, for a better understanding and successful...

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 ...