This article surveys the history and current state of the art of visualization in meteorology,
focusing on visualization techniques and tools used for meteorological data analysis. We …

Together with the increasing population and urbanization, cities have started to face
challenges that hinder their socio-economic and sustainable development. The concept of …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

Using off-site predictors to capture spatio-temporal correlations among geographically
distributed wind farms is seen as one solution to improve the forecast accuracy of wind …

In the last 20 years, extreme weather-related events like floods, landslides, droughts, and
wildfires have caused the death of 1.23 million people and a loss of 2.97 trillion dollars …

In this report, we review the current state of the art of web‐based visualization applications.
Recently, an increasing number of web‐based visualization applications have emerged …

A major challenge in analysis of huge amounts of ocean data is the complexity of the data
and the inherent complexity of ocean dynamic processes. Interactive visual analysis serves …

The fields of operations research and computer science have long sought to find automatic
solver techniques that can find high-quality solutions to difficult real-world optimisation …

Weather forecasting is essential for decision-making and is usually performed using
numerical modeling. Numerical weather models, in turn, are complex tools that require …