From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, in-formation theoretic, and machine learning techniques—such as cluster analysis, singular value decomposition, block entropy, Fourier and wavelet analysis, phase-space reconstruction, and artificial neural networks—are being applied to problems of segmentation, feature extraction, change detection, model-data comparison, and model validation. The size and complexity of Earth science data exceed the limits of most analysis tools and the capacities of desktop com-puters. New scalable analysis and visualization tools,...
Abnormal events in earth science have great influence on both the natural environment and the human ...
The Research Data Alliance (RDA) enables data to be shared across barriers through focused working g...
Global climate change represents one of the greatest challenges facing society and ecosystems today....
AbstractFrom field-scale measurements to global climate simulations and remote sensing, the growing ...
From field-scale measurements to global climate simulations and remote sensing, the growing body of ...
Contents 1 Discovery of Patterns in Earth Science Data Using Data Mining 1 P. Zhang, M. Steinbach, ...
I Earth science data span many orders of magnitude in space and time scales. I These data are increa...
Big Data has plausibly reached the peak of its technology “hype” cycle, at least in geosciences. For...
The Earth is a complex dynamic network system. Modelling and understanding the system is at the cor...
AbstractOne of the observations made in earth data science is the massive increase of data volume (e...
One of the observations made in earth data science is the massive increase of data volume (e.g, high...
Data/Text mining techniques in modelling climate change effects on crops from data mining and knowle...
heavily Environmental mathematical models represent one of the key aids for scientists to forecast, ...
The term ‘big data analytics’ emerged in order to engage in the ever increasing amount of scientific...
The term `big data analytics' emerged in order to engage in the ever increasing amount of scientific...
Abnormal events in earth science have great influence on both the natural environment and the human ...
The Research Data Alliance (RDA) enables data to be shared across barriers through focused working g...
Global climate change represents one of the greatest challenges facing society and ecosystems today....
AbstractFrom field-scale measurements to global climate simulations and remote sensing, the growing ...
From field-scale measurements to global climate simulations and remote sensing, the growing body of ...
Contents 1 Discovery of Patterns in Earth Science Data Using Data Mining 1 P. Zhang, M. Steinbach, ...
I Earth science data span many orders of magnitude in space and time scales. I These data are increa...
Big Data has plausibly reached the peak of its technology “hype” cycle, at least in geosciences. For...
The Earth is a complex dynamic network system. Modelling and understanding the system is at the cor...
AbstractOne of the observations made in earth data science is the massive increase of data volume (e...
One of the observations made in earth data science is the massive increase of data volume (e.g, high...
Data/Text mining techniques in modelling climate change effects on crops from data mining and knowle...
heavily Environmental mathematical models represent one of the key aids for scientists to forecast, ...
The term ‘big data analytics’ emerged in order to engage in the ever increasing amount of scientific...
The term `big data analytics' emerged in order to engage in the ever increasing amount of scientific...
Abnormal events in earth science have great influence on both the natural environment and the human ...
The Research Data Alliance (RDA) enables data to be shared across barriers through focused working g...
Global climate change represents one of the greatest challenges facing society and ecosystems today....