Fine-scale urban simulation obtained through vector-based cellular automata (VCA) can
provide more authentic parcel-level maps to aid urban planning. However, two aspects of …

Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth's surface
over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource …

Land use/cover change (LUCC) models are essential for studying the profound impact of
land use/cover dynamics on various aspects of the natural and social environment. Cellular …

Urbanization-induced land cover changes significantly impact ecological environments and
socioeconomic growth. Vector-based cellular automata (VCA) models are an advanced …

Data and skill gaps are common in exploring future urban growth scenarios, especially in
developing countries. This study demonstrates how to use distance-related laws regarding …

Deep learning is the latest trend of machine learning and artificial intelligence research. As a
new field with rapid development over the past decade, it has attracted more and more …

Multiple factors including natural and human-induced ones lead to land cover change in the
landscape. Therefore, identifying the pattern of land cover change can help inform land-use …

The spatial arrangement of land-cover features constitutes different urban functional zone.
With the same attributes of urban functional zone, the land-cover features that make up the …

The identification of urban functional regions (UFRs) is important for urban planning and
sustainable development. Because this involves a set of interrelated processes, it is difficult …

Urban perception is a hot topic in current urban study and plays a positive role in urban
planning and design. At present, there are two methods to calculate urban perception. 1) …