Integrating Data Science And Earth Science PDF Download
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Author | : Laurens M. Bouwer |
Publisher | : Springer Nature |
Total Pages | : 158 |
Release | : 2022-07-14 |
Genre | : Science |
ISBN | : 3030995461 |
Download Integrating Data Science and Earth Science Book in PDF, ePub and Kindle
This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.
Author | : Lijing Wang |
Publisher | : Cambridge University Press |
Total Pages | : 0 |
Release | : 2023-08-17 |
Genre | : Science |
ISBN | : 9781009201407 |
Download Data Science for the Geosciences Book in PDF, ePub and Kindle
Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.
Author | : Rifaat Abdalla |
Publisher | : BoD – Books on Demand |
Total Pages | : 248 |
Release | : 2024-03-13 |
Genre | : Science |
ISBN | : 1837698686 |
Download Geographic Information Systems - Data Science Approach Book in PDF, ePub and Kindle
Dive into the dynamic world of Geographic Information Systems (GIS) and data science with our comprehensive book in which innovation and insights converge. This book presents a pioneering exploration at the intersection of GIS and data science, providing a comprehensive view of their symbiotic relationship and transformative potential. It encapsulates advanced methodologies, real-world applications, and interdisciplinary approaches that redefine how we perceive and utilize spatial data. Offering a gateway to cutting-edge research and practical insights, this book serves as a crucial resource for scholars, practitioners, and enthusiasts alike. It addresses pressing challenges across diverse domains, from environmental studies to public health and predictive analytics, demonstrating the paramount significance of integrating GIS with data science methodologies. It is an essential compass guiding readers toward a deeper understanding and application of these dynamic fields in today's data-driven world.
Author | : Nilanjan Dey |
Publisher | : Springer |
Total Pages | : 154 |
Release | : 2018-05-23 |
Genre | : Science |
ISBN | : 3319899236 |
Download Big Data for Remote Sensing: Visualization, Analysis and Interpretation Book in PDF, ePub and Kindle
This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.
Author | : P.R. Hill |
Publisher | : Geological Society of London |
Total Pages | : 300 |
Release | : 2020-12-07 |
Genre | : Science |
ISBN | : 1786204762 |
Download The Changing Role of Geological Surveys Book in PDF, ePub and Kindle
Senior managers and Heads of Geological Survey Organizations (GSOs) from around the world have contributed a collection of papers to provide a benchmark on how GSOs are responding to national and international needs in a rapidly changing world. GSOs continue to provide key scientific information about Earth systems, natural hazards and climate change. As countries adopt sustainable development principles and the public increasingly turns to social media to find information about resource and environmental issues, the generation and communication of Earth science knowledge become increasingly important. This volume provides a snapshot of how GSOs are adapting their activities to this changing world. The different national perspectives presented converge around several common themes related to resources, environment and big data. Climate change and the UN’s Sustainable Development Goals provide an increased incentive for GSOs of the world to work in harmony, to generate knowledge of Earth systems and to provide solutions for sustainable management of the planet.
Author | : Lijing Wang |
Publisher | : Cambridge University Press |
Total Pages | : 259 |
Release | : 2023-07-31 |
Genre | : Science |
ISBN | : 1009201425 |
Download Data Science for the Geosciences Book in PDF, ePub and Kindle
Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.
Author | : Maurizio Petrelli |
Publisher | : Springer Nature |
Total Pages | : 229 |
Release | : 2021-09-16 |
Genre | : Science |
ISBN | : 3030780554 |
Download Introduction to Python in Earth Science Data Analysis Book in PDF, ePub and Kindle
This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 97 |
Release | : 2002-10-18 |
Genre | : Technology & Engineering |
ISBN | : 0309085152 |
Download Toward New Partnerships In Remote Sensing Book in PDF, ePub and Kindle
The technical, scientific, policy, and institutional environment for conducting Earth science research has been changing rapidly over the past few decades. Changes in the technical environment are due both to the advent of new types and sources of remote sensing data, which have higher spatial and spectral resolution, and to the development of vastly expanded capabilities in data access, visualization, spatial data integration, and data management. The scientific environment is changing because of the strong emphasis on global change research, both nationally and internationally, and the evolving data requirements for that research. And the policy and institutional environment for the production of Earth observation data is changing with the diversification of both remote sensing data and the institutions that produce the data. In this report, the Space Studies Board's Steering Committee on Space Applications and Commercialization explores the implications of this changing environment, examining the opportunities and challenges it presents.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 139 |
Release | : 2018-11-11 |
Genre | : Education |
ISBN | : 0309475597 |
Download Data Science for Undergraduates Book in PDF, ePub and Kindle
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.
Author | : Irasema Alcántara-Ayala |
Publisher | : Frontiers Media SA |
Total Pages | : 224 |
Release | : 2022-11-07 |
Genre | : Science |
ISBN | : 2832503314 |
Download Integrated Disaster Risk Management: From Earth Sciences to Policy Making Book in PDF, ePub and Kindle