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

Remote sensing and GIS are important tools for studying land use/land cover (LULC)
change and integrating the associated driving factors for deriving useful outputs. This study …

This paper presents a new method to simulate the evolution of multiple land uses based on
the integration of neural networks and cellular automata using GIS. Simulation of multiple …

Land use change models are tools to support the analysis of the causes and consequences
of land use dynamics. Land use and land cover change (LUCC) has been recognized as an …

The spatiotemporal variation of any landscape patterns is as a result of complex interactions
of social, economic, demographic, technological, political, biophysical and cultural factors …

Abstract An integrated Markov Chain and Cellular Automata modelling (CA MARKOV),
multicriteria evaluation techniques have been applied to produce transition probability. The …

Along with its economic reform, China has experienced a rapid urbanization. This study
mapped urban land expansion in China using high-resolution Landsat Thematic Mapper …

The study encompasses spatio-temporal land use/land cover (LULC) monitoring (1989–
2014) and urban growth modelling (1994–2024) of Delhi, India to deduce the past and …

Agent‐based models (ABMs) are used in the spatial sciences as building‐blocks for
computer simulation. ABMs have a range of advantageous attributes, not least of which is …

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