A comprehensive review on land use/land cover (LULC) change modeling for urban development: current status and future prospects
Land use land cover (LULC) modeling is considered as the best tool to comprehend and
unravel the dynamics of future urban expansion. The present paper provides a …
unravel the dynamics of future urban expansion. The present paper provides a …
Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects
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 …
explain the causes and effects of LULC dynamics, and scenario-based analyses with these …
Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations
A Talebian, S Mishra - Transportation Research Part C: Emerging …, 2018 - Elsevier
On the grounds that individuals heavily rely on the information that they receive from their
peers when evaluating adoption of a radical innovation, this paper proposes a new …
peers when evaluating adoption of a radical innovation, this paper proposes a new …
The impact of swidden decline on livelihoods and ecosystem services in Southeast Asia: A review of the evidence from 1990 to 2015
Global economic change and policy interventions are driving transitions from long-fallow
swidden (LFS) systems to alternative land uses in Southeast Asia's uplands. This study …
swidden (LFS) systems to alternative land uses in Southeast Asia's uplands. This study …
[PDF][PDF] Methodological issues of spatial agent-based models
Agent based modeling (ABM) is a standard tool that is useful across many disciplines.
Despite widespread and mounting interest in ABM, even broader adoption has been …
Despite widespread and mounting interest in ABM, even broader adoption has been …
Strategic directions for agent-based modeling: avoiding the YAAWN syndrome
In this short communication, we examine how agent-based modeling has become common
in land change science and is increasingly used to develop case studies for particular times …
in land change science and is increasingly used to develop case studies for particular times …
Impact of human and climate factors on vegetation changes in mainland southeast asia and yunnan province of China
F Fan, C Xiao, Z Feng, Y Yang - Journal of Cleaner Production, 2023 - Elsevier
Currently, although the greening is prevalent, it is unclear whether greening can truly
improve vegetation productivity in the tropics and its main influence factors. To effectively …
improve vegetation productivity in the tropics and its main influence factors. To effectively …
Towards decision-based global land use models for improved understanding of the Earth system
MDA Rounsevell, A Arneth, P Alexander… - Earth System …, 2014 - esd.copernicus.org
A primary goal of Earth system modelling is to improve understanding of the interactions and
feedbacks between human decision making and biophysical processes. The nexus of land …
feedbacks between human decision making and biophysical processes. The nexus of land …
Modeling the effect of social networks on adoption of multifunctional agriculture
Rotational grazing (RG) has attracted much attention as a cornerstone of multifunctional
agriculture (MFA) in animal systems, potentially capable of producing a range of goods and …
agriculture (MFA) in animal systems, potentially capable of producing a range of goods and …
Driving factors of land change in china's loess plateau: Quantification using geographically weighted regression and management implications
Y Ren, Y Lü, B Fu, A Comber, T Li, J Hu - Remote Sensing, 2020 - mdpi.com
Land change is a key topic in research on global environmental change, and the restoration
of degraded land is the core component of the global Land Degradation Neutrality target …
of degraded land is the core component of the global Land Degradation Neutrality target …