Applied Multivariate Statistics in Geohydrology and Related Sciences PDF Download
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Author: Charles E. Brown
Publisher: Springer Science & Business Media
ISBN: 3642803288
Category : Science
Languages : en
Pages : 330
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Book Description
It has been evident from many years of research work in the geohydrologic sciences that a summary of relevant past work, present work, and needed future work in multivariate statistics with geohydrologic applications is not only desirable, but is necessary. This book is intended to serve a broad scientific audience, but more specifi cally is geared toward scientists doing studies in geohydrology and related geo sciences.lts objective is to address both introductory and advanced concepts and applications of the multivariate procedures in use today. Some of the procedures are classical in scope but others are on the forefront of statistical science and have received limited use in geohydrology or related sciences. The past three decades have seen a significant jump in the application of new research methodologies that focus on analyzing large databases. With more general applications being developed by statisticians in various disciplines, multivariate quantitative procedures are evolving for better scientific applica tion at a rapid rate and now provide for quick and informative analyses of large datasets. The procedures include a family of statistical research methods that are alternatively called "multivariate analysis" or "multivariate statistical methods".
Author: Charles E. Brown
Publisher: Springer Science & Business Media
ISBN: 3642803288
Category : Science
Languages : en
Pages : 330
Get Book Here
Book Description
It has been evident from many years of research work in the geohydrologic sciences that a summary of relevant past work, present work, and needed future work in multivariate statistics with geohydrologic applications is not only desirable, but is necessary. This book is intended to serve a broad scientific audience, but more specifi cally is geared toward scientists doing studies in geohydrology and related geo sciences.lts objective is to address both introductory and advanced concepts and applications of the multivariate procedures in use today. Some of the procedures are classical in scope but others are on the forefront of statistical science and have received limited use in geohydrology or related sciences. The past three decades have seen a significant jump in the application of new research methodologies that focus on analyzing large databases. With more general applications being developed by statisticians in various disciplines, multivariate quantitative procedures are evolving for better scientific applica tion at a rapid rate and now provide for quick and informative analyses of large datasets. The procedures include a family of statistical research methods that are alternatively called "multivariate analysis" or "multivariate statistical methods".
Author: Martin H. Trauth
Publisher: Springer Nature
ISBN: 3031077199
Category : Science
Languages : en
Pages : 463
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Book Description
Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.
Author: Martin H. Trauth
Publisher: Springer Nature
ISBN: 3030384411
Category : Science
Languages : en
Pages : 526
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Book Description
MATLAB® is used in a wide range of geoscientific applications, e.g. for image processing in remote sensing, for creating and processing digital elevation models, and for analyzing time series. This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fifth Edition includes seven new sections, and the majority of the chapters have been rewritten and significantly expanded. New sections include error analysis, the problem of classical linear regression of log-transformed data, aligning stratigraphic sequences, the Normalized Difference Vegetation Index, Aitchison’s log-ratio transformation, graphical representation of spherical data, and statistics of spherical data. The book also includes numerous examples demonstrating how MATLAB can be used on datasets from the earth sciences. The supplementary electronic material (available online through SpringerLink) contains recipes that include all the MATLAB commands featured in the book and the sample data.
Author: Sami Khomsi
Publisher: Springer Nature
ISBN: 3030218740
Category : Science
Languages : en
Pages : 258
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Book Description
This book focuses on the evolution of sedimentary basins of the Arabian Plate and its surroundings. Because these sedimentary basins developed in various tectonic settings, from extensional or transtensional to flexural, transpressional or compressional, their sedimentary sequences provide unique records of the regional geology. Georesources of the Arabian Plate are also described here, including petroleum potential, reservoirs, water resources, fresh water and deep saline aquifers, as well as materials and ore deposits. The book is made by a set of papers authored by geoscientists working in both academia and industry. Numerous chapters describe some regional important geologic features and selected sedimentary basins from the Middle East, North Africa and the Arabian Peninsula domains. Other chapters focus on georesources. A particular focus is given to the geology of Saudi Arabia. This book is an important contribution to the geology of the Arabian Peninsula and its surroundings. In view of the strategic and economic importance of the regional geology and georesources of the Arabian Plate and Surroundings, this volume will constitute an important reference for a wide range of geoscientists interested in the geology of this region, especially those active in petroleum geosciences and related industry. Ultimately, readers will discover important thematic maps in this book.
Author: Martin Trauth
Publisher: Springer Science & Business Media
ISBN: 3540727493
Category : Science
Languages : en
Pages : 293
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Book Description
MATLAB® is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. The revised and updated Second Edition includes new subchapters on windowed Blackman-Tukey, Lomb-Scargle and Wavelet powerspectral analysis, statistical analysis of point distributions and digital elevation models, and a full new chapter on the statistical analysis of directional data. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.
Author: Saeid Eslamian
Publisher: Elsevier
ISBN: 0128219521
Category : Science
Languages : en
Pages : 422
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Book Description
Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines. These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. This volume is an example of true interdisciplinary work. The audience includes postgraduates and above interested in Water Science, Geotechnical Engineering, Soil Science, Civil Engineering, Chemical Engineering, Computer Engineering, Engineering, Applied Science, Earth and Geoscience, Atmospheric Science, Geography, Environment Science, Natural Resources, Mathematical Science, and Social Sciences. It is a fully comprehensive handbook which provides all the information needed related to the best practices for managing water data. - Contributions from global experts in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Thorough applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Includes a wide range of new methods that are used in hydro-modeling, with step-by-step guides on how to use them.
Author: Senapathi Venkatramanan
Publisher: Elsevier
ISBN: 0128154144
Category : Science
Languages : en
Pages : 392
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Book Description
GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies. As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources. Beginning with an introduction to the history of GIS and geostatistical techniques in groundwater studies, the book then describes various spatial techniques, including case studies for various applications, from quality assessment, to resource management. This book assembles the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, one of our most important natural resources. - Provides details on the application of GIS and statistics in groundwater studies - Includes practical coverage of the use of spatial analysis techniques in groundwater science - Bridges the gap between geostatistics and GIS as it relates to groundwater science and management - Offers worldwide case studies to illustrate various techniques and applications in addressing groundwater issues
Author: J. Russell Boulding
Publisher: CRC Press
ISBN: 1420032143
Category : Technology & Engineering
Languages : en
Pages : 718
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Book Description
A synthesis of years of interdisciplinary research and practice, the second edition of this bestseller continues to serve as a primary resource for information on the assessment, remediation, and control of contamination on and below the ground surface. Practical Handbook of Soil, Vadose Zone, and Ground-Water Contamination: Assessment, Prev
Author: Koh Hock Lye
Publisher: Penerbit USM
ISBN: 9838616583
Category : Science
Languages : en
Pages : 908
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Book Description
In view of the current global scenario, which highlighted the importance of sustainable development and sustaining natural resources, the theme selected for the 2nd Regional ECOMOD 2007 Conference was indeed appropriate. This conference has generated overwhelming interest and I am sure the participants have focussed diligently on the serious issues concerning important environmental issues and steps needed to be taken towards a sustainable development and management of our natural resources and environment. As governments in the Asian region introduce new initiatives and development policies to rejuvenate and protect their environment and natural resources, it is imperative that universities and research institutions play a fundamental role in ensuring that the objectives of these policies are realized. Such institutions can complement government proposals by embarking on research that is relevant and valuable to the needs of respective nations and pursuing extensive research so that the outcome and technology generated can be transferred effectively to the end users. This concerted effort by all the researchers from different fields to improve and manage our natural resources should be lauded. I strongly believe that this conference is an extraordinary testimony to our capacity building at regional and local levels. I believe USM has something interesting to share with all of you in this area. Finally, on behalf of the Organizing Committee, I hope readers will find this book of proceedings useful, informative and stimulating.
Author: Minrui Zheng
Publisher: Springer Nature
ISBN: 9811653992
Category : Computers
Languages : en
Pages : 120
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Book Description
Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is written for researchers of the GIScience field as well as social science subjects.
