Predictive soil map** (PSM) can be defined as the development of a numerical or
statistical model of the relationship among environmental variables and soil properties …

In this paper we present a general overview of several supervised machine learning (ML)
algorithms and illustrate their use for the prediction of mass mortality events in the coastal …

Species distribution models (SDMs) constitute the most common class of models across
ecology, evolution and conservation. The advent of ready‐to‐use software packages and …

A large array of species distribution model (SDM) approaches has been developed for
explaining and predicting the occurrences of individual species or species assemblages …

Land cover monitoring using remotely sensed data requires robust classification methods
which allow for the accurate map** of complex land cover and land use categories …

Maps of species' distributions or habitat suitability are required for many aspects of
environmental research, resource management and conservation planning. These include …

With the rise of new powerful statistical techniques and GIS tools, the development of
predictive habitat distribution models has rapidly increased in ecology. Such models are …

An important statistical development of the last 30 years has been the advance in regression
analysis provided by generalized linear models (GLMs) and generalized additive models …

The task of modeling the distribution of a large number of tree species under future climate
scenarios presents unique challenges. First, the model must be robust enough to handle …

The only reference on the use of GIS and related technologies in terrain analysis In this
landmark publication, reflecting the collaborative effort of thirteen research groups based in …