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 …

Water contaminated with heavy metals constitutes an important threat. This threat is a real
problem with a negative impact in some develo** countries where untreated industrial …

Some popular metrics to evaluate land change simulation models are misleading.
Therefore, land change scientists have called for the development of methods to evaluate …

This paper aims to improve the spatial accuracy of urban growth simulation models and
clarify any associated uncertainties. Artificial Neural Networks (ANNs), Random Forest (RF) …

Thematic maps are important for a range of disciplines including spatial planning and
ecosystem status assessments. Despite an increasing focus on accuracy assessment …

This study introduces a novel framework for land change simulation that combines the
traditional Land Transformation Model (LTM) with data clustering tools for the purposes of …

Ensemble techniques, common in many disciplines, have yet to be fully exploited with
spatially explicit projections from land-change models. We trial a land-change model …

Assessment of past and future urban growth processes helps the decision makers to
evaluate and formulate the policy documents. In an attempt to make such assessments, this …

Coastal regions worldwide are during the process of rapid urban expansion. However,
expanded urban settlements in land-sea interfaces have been faced with unprecedented …

Hyperspectral images are being used in various fields. The main objective of the present
study was to use hyperspectral imagery from Hyperion with Spectral Angle Mapper (SAM) …