The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool

The Environmental Scenario Generator (ESG): a distributed environmental data archive analysis tool

The Environmental Scenario Generator (ESG) is a network distributed software system designed to allow a user to interact with archives of environmental data for the purpose of scenario extraction, data analysis and integration with existing models that require environmental input. The ESG uses fuzzy-logic based search tools to allow a user to look for specific environmental scenarios in vast ar...

Scenario Search on the Grid of Environmental Data Sources

We present the Environmental Scenario Search Engine (ESSE), a set of algorithms and software tools for distributed querying and mining large environmental data archives. The principal requirement of the ESSE system is to allow the user to query the data in meaningful “human linguistic” terms. The mapping between human language and computer systems involves fuzzy logic. We use a data resource we...

Analysis of Environmental Data

Data Mining as a Tool for Environmental Scientists

Over recent years a huge library of data mining algorithms has been developed to tackle a variety of problems in fields such as medical imaging and network traffic analysis. Many of these techniques are far more flexible than more classical modelling approaches and could be usefully applied to data-rich environmental problems. Certain techniques such as Artificial Neural Networks, Clustering, C...

CAVE6D: A Tool for Collaborative Immersive Visualization of Environmental Data

This “Late Breaking Hot Topic Paper” introduces and tracks the progress of OceanDIVER, a project to develop a tele-immersive collaboratory that integrates archived oceanographic data with simulation and real-time data gathered from autonomous underwater vehicles. Specifically this paper describes the work in building CAVE6D, a tool for collaboratively visualizing environmental data in CAVEs, Im...