Author: Saroj K Pal
Publisher: Concept Publishing Company
ISBN:
Category :
Languages : en
Pages : 624

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Book Description

Author: D. Marsal
Publisher: Elsevier
ISBN: 148329613X
Category : Mathematics
Languages : en
Pages : 187

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Book Description
Presents nearly all the important elementary and analytical methods of statistics, designed for the needs of the geoscientist and completely free from higher mathematics. Translated from the second German edition.

Author: Preben Blæsild
Publisher:
ISBN: 9781315273662
Category : Biometry
Languages : en
Pages : 555

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Book Description

Author: Steven J. Fletcher
Publisher: Elsevier
ISBN: 0323972535
Category : Science
Languages : en
Pages : 1130

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Book Description
Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place. It includes practical exercises enabling readers to apply theory in both a theoretical formulation as well as teach them how to code the theory with toy problems to verify their understanding. It also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to land surface, the atmosphere, ocean and other geophysical situations. The second edition of Data Assimilation for the Geosciences has been revised with up to date research that is going on in data assimilation, as well as how to apply the techniques. The new edition features an introduction of how machine learning and artificial intelligence are interfacing and aiding data assimilation. In addition to appealing to students and researchers across the geosciences, this now also appeals to new students and scientists in the field of data assimilation as it will now have even more information on the techniques, research, and applications, consolidated into one source. Includes practical exercises and solutions enabling readers to apply theory in both a theoretical formulation as well as enabling them to code theory Provides the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place New to this edition: covers new topics such as Observing System Experiments (OSE) and Observing System Simulation Experiments; and expanded approaches for machine learning and artificial intelligence

Author: Guangren Shi
Publisher: Elsevier
ISBN: 9780124104372
Category : Computers
Languages : en
Pages : 0

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Book Description
Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data. Most geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of "rich data but poor knowledge". The true solution is to apply data mining techniques in geosciences databases and to modify these techniques for practical applications. Authored by a global thought leader in data mining, Data Mining and Knowledge Discovery for Geoscientists addresses these challenges by summarizing the latest developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information.

Author: Dietrich Marsal
Publisher: Pergamon
ISBN: 9780080262604
Category : MATHEMATICS
Languages : en
Pages : 176

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Book Description
Presents nearly all the important elementary and analytical methods of statistics, designed for the needs of the geoscientist and completely free from higher mathematics. Translated from the second German edition.

Author: Swapan Kumar Maity
Publisher: Springer Nature
ISBN: 9811665850
Category : Science
Languages : en
Pages : 337

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Book Description
Representation of geographical data using graphs, diagrams and mapping techniques is a key for geographers and for researchers in other disciplines to explore the nature of data, the pattern of spatial and temporal variations and their relationships, and formulation of principles to accurately understand and analyze features on or near the earth’s surface. These modes of representation also enable the development of spatial understanding and the capacity for technical and logical decision making. The book depicts all types of graphs, diagrams and maps, explained in detail with numerous examples. The emphasis is on their appropriate data structure, the relevance of selecting the correct technique, methods of their construction, advantages and disadvantages of their use, and applications of these techniques in analyzing and realizing the spatial pattern of various geographical features and phenomena. This book is unique in that it reflects a perfect correlation between theoretical knowledge of geographical events and phenomena and their realistic implications, with relevant examples using appropriate graphical methods. The book serves as a valuable resource for students, researchers, cartographers and decision makers to analyze and represent various geographical data for a better, systematic and scientific understanding of the real world.

Author: Saroj Kumar Pal
Publisher: Concept Publishing Company
ISBN: 9788180692109
Category : Economic development
Languages : en
Pages : 520

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Book Description

Author: Debasis Bhattacharya (Ph. D.)
Publisher: Concept Publishing Company
ISBN: 9788180698224
Category : Agriculture
Languages : en
Pages : 312

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Book Description
Papers presented at a mini-meeting-cum-workshop held at Visva-Bharati University with support from Institute of Mathematical Statistics.

Author: Guangren Shi
Publisher: Elsevier
ISBN: 0124104754
Category : Computers
Languages : en
Pages : 377

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Book Description
Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data. Most geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of "rich data but poor knowledge". The true solution is to apply data mining techniques in geosciences databases and to modify these techniques for practical applications. Authored by a global thought leader in data mining, Data Mining and Knowledge Discovery for Geoscientists addresses these challenges by summarizing the latest developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. Focuses on 22 of data mining’s most practical algorithms and popular application samples Features 36 case studies and end-of-chapter exercises unique to the geosciences to underscore key data mining applications Presents a practical and integrated system of data mining and knowledge discovery for geoscientists Rigorous yet broadly accessible to geoscientists, engineers, researchers and programmers in data mining Introduces widely used algorithms, their basic principles and conditions of applications, diverse case studies, and suggests algorithms that may be suitable for specific applications