The spatial distribution of human activities in forest frontier regions is strongly influenced by
transportation infrastructure. With the planned paving of 6000 km of highway in the Amazon …

Empirical models designed to simulate and predict urban land‐use change in real situations
are generally based on the utilization of statistical techniques to compute the land‐use …

Human population continues to aggregate in urban centers. This inevitably increases the
urban footprint with significant consequences for biodiversity, climate, and environmental …

Land use/cover change (LUCC) modeling is an important approach to evaluating global
biodiversity loss and is the topic of a wide range of research in ecology, geography and …

This paper presents an improved cellular automata (CA) model of urban growth based on
particle swarm optimization (PSO) approach with inertia weight. An innovative feature of this …

This study aims to predict the spatial distribution of tropical deforestation. Landsat images
dated 1974, 1986 and 1991 were classified in order to generate digital deforestation maps …

Urban development and migration from rural to urban areas are impacting prime agricultural
land and natural landscapes, particularly in the less developed countries. These …

The main objective of this research is to, first, monitor urban sprawl in the metropolis of
Tehran and, second, to assess the CA–Markov model in the simulation of land-use change …

Our world is changing at an unprecedented rate in terms of climate and land use, but these
changes can affect our water resources. Hence, we need a methodology that can predict …

Compact cities are recognized as sustainable urban forms rather than sprawl developments.
Such cities are characterized by high density, land use diversity, accessibility, and efficient …