When predicting changes in plant populations, spatial interactions must be considered. Cellular automata are models incorporating both spatial and temporal dynamics. Vegetation data were sampled on a meadow over three years using the point-quadrat method and population dynamics of three single species were modeled with a cellular automaton using stochastic decision rules. Links with the theory ...

The creation of an accurate simulation future urban growth is considered to be one the most important challenges last five decades that involves spatial modeling within a GIS environment. Even though built-up densification processes, or transitions from low high density, are critical for policymakers concerned with limiting sprawl, literature on models study reveals them focus solely expansion ...

Urban Land use changes, measurements, and the analysis of rate trends growth would help in resources management planning, etc. In this study, we analyze urban change dynamics using a support vector machine model. This method derives rural land-use various components, such as population growth, built-up areas, other utilities. increases rapidly due to exponential population, industrial The also ...

Cellular automata (CA) are time and space discrete dynamical systems that can model biological systems. The aim of this study is to simulate by CA experiments how the disease of periodontitis propagates along the dental root surface. Using a Moore neighborhood on a grid copy of the pattern of periodontal ligament fibers (PDLF) supporting and anchoring the teeth to bone, we investigate the fract...

Changes in land use the Alo Pohu watershed have concerned government preventing siltation of Limboto Lake, along with floods and slides. On that ground, present study was conducted to analyze spatial prediction land-use changes watershed, Gorontalo Regency, Indonesia, 2000-2017 period for 2030 prediction. The method analysis data predict involved Powersim Version 10 Idrisi apps. Further, consis...

Ambon is a city with the highest economic and population growth in Maluku Province, which makes built-up land have high rapid so that it can reduce carrying capacity of city's land. This lead to an imbalance between available housing may result higher pressure on areas. Prediction spatial modeling needed as preventive measure prevent excessive cover changes future. study aims analyze residentia...

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...

From 1990 to 2018, built-up areas in Tallinn, Estonia’s capital city, increased by 25.03%, while its population decreased −10.19%. Investigating the factors affecting urban expansion and modeling it are critical steps detect future trends plan for a more sustainable environment. Different models have been used investigate, predict, simulate recent years. In this paper, we coupled cellular autom...