Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis

K Akpoti, AT Kabo-bah, SJ Zwart - Agricultural systems, 2019 - Elsevier
Agricultural land suitability analysis (ALSA) for crop production is one of the key tools for
ensuring sustainable agriculture and for attaining the current global food security goal in line …

Inductive pattern-based land use/cover change models: A comparison of four software packages

JF Mas, M Kolb, M Paegelow, MTC Olmedo… - … Modelling & Software, 2014 - Elsevier
Land use/cover change (LUCC), as an important factor in global change, is a topic that has
recently received considerable attention in the prospective modeling domain. There are …

Multilayer perceptron (MLP)

H Taud, JF Mas - Geomatic approaches for modeling land change …, 2018 - Springer
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Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model

PH Verburg, KP Overmars - Landscape ecology, 2009 - Springer
Land use change is the result of interactions between processes operating at different
scales. Simulation models at regional to global scales are often incapable of including …

Land use changes modelling using advanced methods: Cellular automata and artificial neural networks. The spatial and explicit representation of land cover …

RM Basse, H Omrani, O Charif, P Gerber, K Bódis - Applied Geography, 2014 - Elsevier
Identifying and evaluating the driving forces that are behind land use and land cover
changes remains one of the most difficult exercises that geographers and environmental …

A big data urban growth simulation at a national scale: configuring the GIS and neural network based land transformation model to run in a high performance …

BC Pijanowski, A Tayyebi, J Doucette, BK Pekin… - … Modelling & Software, 2014 - Elsevier
Abstract The Land Transformation Model (LTM) is a Land Use Land Cover Change (LUCC)
model which was originally developed to simulate local scale LUCC patterns. The model …

Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations

SIV Sousa, FG Martins, MCM Alvim-Ferraz… - … Modelling & Software, 2007 - Elsevier
The prediction of tropospheric ozone concentrations is very important due to the negative
impacts of ozone on human health, climate and vegetation. The development of models to …

Understanding deforestation in montane and lowland forests of the Colombian Andes

D Armenteras, N Rodríguez, J Retana… - Regional Environmental …, 2011 - Springer
Colombian Andean forests cover nine million ha. These forests provide an informative case
study of mountain deforestation in South America. They are surrounded by tropical lowland …

Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest

A Pérez-Vega, JF Mas, A Ligmann-Zielinska - Environmental Modelling & …, 2012 - Elsevier
Land use/cover change (LUCC) modeling is an important approach to evaluating global
biodiversity loss and is the topic of a wide range of research in ecology, geography and …

[HTML][HTML] Spatiotemporal distribution and driving factors of regional green spaces during rapid urbanization in Nanjing metropolitan area, China

W Liu, H Li, H Xu, X Zhang, Y Xie - Ecological Indicators, 2023 - Elsevier
In China, regional green spaces (RGSs) are green spaces outside urban built-up areas and
have a wide distribution, large scale, and outstanding ecological function. RGSs have …