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 …

Land-change models are increasingly used to explore land-change dynamics, as well as for
policy analyses and scenario studies. In this paper we review calibration and validation …

Urban growth has received little attention in large-scale land change assessments, because
the area of built-up land is relatively small on a global scale. However, this area is …

Spatial reconstruction and scenario simulation of historical processes and future trends of
land use/cover change (LUCC) can help to reveal the historical background of land …

Urban development if not planned and managed adequately can be unsustainable. Urban
growth models have been a powerful toolkit to help tackling this challenge. In this paper, we …

This study compares the performance of gradient boosting decision tree (GBDT), artificial
neural networks (ANNs), and random forests (RF) methods in LUC modeling in the Seoul …

Exploring urban land use change is a classical problem in urban geography. Taking
Zhengzhou as an example, this paper analyzes the spatial and temporal characteristics and …

Climate change impacts can be especially large in cities,. Several large cities are taking
climate change into account in long-term strategies,, for which it is important to have …

As an important component of the cellular automata (CA) model, the neighborhood defines
the geographical interaction domain (GID) of cells and their interaction mechanisms …

Bogotá and the 17 neighboring municipalities make up one of the biggest metropolitan
areas in Latin America. However, despite strong functional interactions within the area, there …