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 …

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 …

Urbanization processes have accelerated over recent decades, prompting efforts to model
land use change (LUC) patterns for decision support and urban planning. Cellular automata …

Interactions among cities are playing an increasingly significant role in driving urban
expansion in urban agglomerations. Many studies have combined the gravitational field …

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

Accurate land-use/-cover change (LUCC) simulation is of great significance to issues closely
related to regional planning and policy-making. Many models have been committed to …

Abstract The Semarang Metropolitan Region (SMR) dynamic is difficult to control and related
to the urban sprawl phenomenon. This study aimed to explore the relationship between land …

流动空间背景下, 探讨城际交互对城市群城市空间联动增长的影响对有效调控城市空间增长,
促进城镇化可持续发展具有重要意义. 本文以西部关中城市群为例, 基于土地利用和城际交通 …

Since urban growth results from frequent spatial interaction between urban units, adequate
representation of spatial interaction is important for urban growth modeling. Among urban …

Spatial heterogeneity is an essential feature of land use change. It is important for cellular
automata (CA)-based urban expansion modeling to consider the spatial heterogeneity of …