Machine learning (ML) is at the forefront of land-use change modeling. Due to numerous
available ML approaches, the model choice is complex and usually based on ad hoc …

Interaction between mitigation and adaptation is a key question for the design of climate
policies. In this paper, we study how land use adaptation to climate change impacts land use …

Pressures on freshwater ecosystems are mainly human induced and driven by land use and
climate change. We develop an empirical framework to estimate the impacts of land use …

The paper proposes a Bayesian multinomial logit model to analyse spatial patterns of urban
expansion. The specification assumes that the log-odds of each class follow a spatial …

Agricultural rent in land-use models: comparison of frequently used proxies. Spatial
Economic Analysis. This paper compares the performance of econometric land-use models …

This chapter provides an overview of the literature on econometric land use models
including spatial autocorrelation. These models are useful to analyze the determinants of …

Hyperspectral imaging has recently emerged in the geosciences as a technology that
provides rapid, accurate, and high-resolution information from lake sediment cores. Here we …

This study examines the complex relationship between climate change and ecosystem
services (ESs) in France. We explore both the direct effects of climate change and the …

Germany is experiencing extensive land consumption. This necessitates local models to
understand actual and future land consumption patterns. This research examined land …

The synergies and trade-offs between human well-being, biodiversity, and ecosystem
services are under debate for the design of more sustainable public policies. In that …