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 …

This paper is based on reviewing the literature in the past 10 years on the drivers of land use
and land cover change (LULCC) in urban areas. It combines quantitative and qualitative …

Cellular automaton (CA) is a widely-used tool for modeling land-use changes that can
enhance our understanding of past and future urban development. Previous studies have …

In the industrialization that started in the 1830s in countries such as England and America,
transportation networks, geographical locations and spatial size were taken as the basis in …

Land use change are essential for sustaining human wellbeing, but empirical studies have
shown that the urban development requires built-up land, yet, the disorderly expansion of …

Cellular automata (CA) has become one of the most prevalent approaches for spatially
explicit urban growth modeling. Previous studies have investigated how the key components …

Most contemporary urban cellular automata (CA) models primarily focus on the simulation of
urban land expansion, and cannot effectively simulate vertical urban growth. This study …

We develop a new geographical cellular automata (CA) modeling framework, named
UrbanCA, through reconstructing the essential CA structure and incorporating nonspatial …

Urban land use change modeling can enhance our understanding of processes and
patterns of urban growth that emerge from human-environment interactions. Cellular …

Abstract Land Use and Land Cover (LULC) changes have profound impacts on the
functioning of (agro) ecosystems and have potential to mitigate global climate change …