Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations

Quantitative Analysis And Modeling Of Earth And Environmental Data: Applications For Spatial And Temporal Variation Offers A Systematic, Quantitative Analysis Of Multi-sourced Data, Including The Spatial Distribution And Temporal Dynamics Of Natural Attributes. It Covers Data Handling Techniques That May Vary By Space And/or Time, And Aims To Improve Understanding Of Physical Laws Of Change Underlying Available Numerical Datasets, While Also Considering In-situ Uncertainties And Relevant Measurement Errors (conceptual, Technical, Computational). Featuring Real-world Practical Applications And Practice Exercises, This Book Is A Comprehensive Step-by-step Tutorial Of Data-driven Techniques That Will Help Students And Researchers Master Data Analysis In Earth And Environmental Sciences. The Notions And Methods Presented In The Book Cover A Wide Range Of Data In Various Forms And Sources, Including Hard Measurements, Soft Observations, Secondary Information And Auxiliary Variables (ground-level Measurements, Satellite Observations, Scientific Instruments And Records, Protocols And Surveys, Empirical Models And Charts). Addresses The Analysis And Processing Data That Varies Spatially And/or Temporally, Which Is The Case With The Majority Of Data In Scientific And Engineering Disciplines Covers A Wide Range Of Data Describing A Variety Of Attributes Characterizing Physical Phenomena And Systems Including Earth, Ocean And Atmospheric Variables, Environmental And Ecological Parameters, Population Health States, Disease Indicators, And Social And Economic Characteristics Includes Case Studies And Practice Exercises At The End Of Each Chapter For Both Real-world Applications And Deeper Understanding Of The Concepts Presented