Spatio-temporal land-use change modeling, simulation, and prediction have become one of
the critical issues in the last three decades due to uncertainty, structure, flexibility, accuracy …

The objective of this study is to compare the abilities of logistic, auto-logistic and artificial
neural network (ANN) models for quantifying the relationships between land uses and their …

Understanding the complexity of urban expansion requires an analysis of the factors
influencing the spatial and temporal processes of rural–urban land conversion. This study …

People are constantly changing the land surface through construction, agriculture, energy
production, and other activities. Changes both in how land is used by people (land use) and …

A goal of land change modelers should be to communicate scenarios of future change that
show the variety of possible future landscapes based on the consequences of management …

Simulation models of land use predict or describe land-use change over space and time.
Recent overviews of land-use simulation models show an overwhelming amount of different …

Highlights•We review approaches to modeling land change in scientific and practical
applications.•Modeling approaches need to be considered relative to the different purposes …

Land use changes are complex processes affected by both natural and human-induced
driving factors. This research is focused on simulating land use changes in southern …

Land use/land cover (LULC) change models are powerful tools used to understand and
explain the causes and effects of LULC dynamics, and scenario-based analyses with these …

Abstract Land Use Land Cover (LULC) change assessment and prediction are essential for
optimised water resources planning and management. This paper attempts to intercompare …