Land use/cover change (LUCC), as an important factor in global change, is a topic that has
recently received considerable attention in the prospective modeling domain. There are …

Abstract Cellular Automata (CA) & Markov-Chain modeling are concepts that are utilized in
numerous branches of science. Powerful as they are independently, these two theoretical …

In this paper, we introduce Cellular Automata--a dynamic evolution model to intuitively
detect the salient object. First, we construct a background-based map using color and space …

Anticipating future land use and land cover (LULC) changes can improve our knowledge of
the complexity of human-environment interactions that lead to transformations in the …

In recent years, cellular automata (CA) models for urban growth simulation have proliferated
because of their simplicity, flexibility and intuitiveness, and particularly because of their …

Cellular automata (CA) models are in growing use for land-use change simulation and
future scenario prediction. It is necessary to conduct model assessment that reports the …

The effect of armed conflict on deforestation in biodiverse regions across Earth remains
poorly understood. Its association with factors like illegal crop cultivation can obscure its …

The above categorization can be refined by distinguishing two kinds of classification
problems: taxonomy, when the value sets of attributes and the predefined classes are not …

Neighbourhood interactions between land use types are often included in the spatially
explicit analysis of land use change. Especially in the context of urban growth …

This article explores the driving factors of urban growth in Kathmandu Valley using analytic
hierarchy process. The dynamic pattern of urban growth in the valley has been greatly …