Quantitative Analysis And Modeling Of Earth And Environmental Data Space-time An

Quantitative Analysis And Modeling Of Earth And Environmental Data: Space-time And Spacetime Data Considerations Introduces The Notion Of Chronotopologic Data Analysis That Offers A Systematic, Quantitative Analysis Of Multi-sourced Data And Provides Information About The Spatial Distribution And Temporal Dynamics Of Natural Attributes (physical, Biological, Health, Social). It Includes Models And Techniques For Handling Data That May Vary By Space Andor Time, And Aims To Improve Understanding Of The Physical Laws Of Change Underlying The Available Numerical Datasets, While Taking Into Consideration The In-situ Uncertainties And Relevant Measurement Errors (conceptual, Technical, Computational). It Considers The Synthesis Of Scientific Theory-based Methods (stochastic Modeling, Modern Geostatistics) And Data-driven Techniques (machine Learning, Artificial Neural Networks) So That Their Individual Strengths Are Combined By Acting Symbiotically And Complementing Each Other.