Bayesian networks (BNs), also known as Bayesian belief networks or Bayes nets, are a kind
of probabilistic graphical model that has become very popular to practitioners mainly due to …

Climate change has already led to a wide range of impacts on our society, the economy and
the environment. According to future scenarios, mountain regions are highly vulnerable to …

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

Geographical data are used in so many aspects of our lives today, ranging from disaster
relief operations through to finding directions on our mobile phones. We can all be data …

Possible causes of a forest fire ignition could be human-caused (arson, smoking, hunting,
picnic fire, shepherd fire, stubble burning) or natural-caused (lightning strikes, power lines) …

Bayesian networks (BNs) are increasingly being used to model environmental systems, in
order to: integrate multiple issues and system components; utilise information from different …

This book integrates the physical processes of dam breaching and the mathematical aspects
of risk assessment in a concise manner• The first book that introduces the causes, processes …

In most structural systems, it is neither possible nor optimal to inspect all system components
regularly. An optimal inspection-repair strategy controls deterioration in structural systems …

Abstract Random Naïve Bayes (RNB) is a machine learning method that uses the Random
Forest (RF) structure to optimize Naïve Bayes (NB). It is interesting to see whether RNB …

Avalanche disturbances are important processes in many subalpine forest ecosystems but
have received relatively little research attention in comparison to other major types of …