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Author: Nicolas Chapman
Publisher: Larsen and Keller Education
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
Big data refers to a collection of data that is enormous in volume and is expanding at exponential rates with the passage of time. It is a dataset that is too large and complex for traditional data management tools to process or store it effectively. There are various types of big data including semi-structured, structured and unstructured. Big data technologies are used in a number of industries and fields including banking, communication, healthcare, geosciences, astrophysics, and trade. The geographic information systems (GISs) are an important application of big data in geosciences, which aid in creating, managing, analyzing and mapping all types of geospatial data. GISs generate huge amounts of data, which are analyzed using big data technologies. Big data computing for GIS data enables analysis and decision making from massive datasets by using spatiotemporal data mining, algorithms and query processing. This book elucidates the concepts and innovative models around prospective developments with respect to big data techniques and technologies used in geoscience. It will serve as a reference to a broad spectrum of readers.
Author: Nicolas Chapman
Publisher: Larsen and Keller Education
ISBN:
Category : Computers
Languages : en
Pages : 0
Get Book
Book Description
Big data refers to a collection of data that is enormous in volume and is expanding at exponential rates with the passage of time. It is a dataset that is too large and complex for traditional data management tools to process or store it effectively. There are various types of big data including semi-structured, structured and unstructured. Big data technologies are used in a number of industries and fields including banking, communication, healthcare, geosciences, astrophysics, and trade. The geographic information systems (GISs) are an important application of big data in geosciences, which aid in creating, managing, analyzing and mapping all types of geospatial data. GISs generate huge amounts of data, which are analyzed using big data technologies. Big data computing for GIS data enables analysis and decision making from massive datasets by using spatiotemporal data mining, algorithms and query processing. This book elucidates the concepts and innovative models around prospective developments with respect to big data techniques and technologies used in geoscience. It will serve as a reference to a broad spectrum of readers.
Author: Hassan A. Karimi
Publisher: CRC Press
ISBN: 1466586559
Category : Mathematics
Languages : en
Pages : 312
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Book Description
Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data ef
Author: Thomas Huang
Publisher: John Wiley & Sons
ISBN: 1119467535
Category : Science
Languages : en
Pages : 356
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Book Description
Applying tools for data analysis to the rapidly increasing volume of data about the Earth An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges. Big Data Analytics in Earth, Atmospheric, and Ocean Sciences explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth. Volume highlights include: An introduction to the breadth of big earth data analytics Architectures developed to support big earth data analytics Different analysis and statistical methods for big earth data Current applications of analytics to Earth science data Challenges to fully implementing big data analytics The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more in this Q&A with the editors.
Author:
Publisher: Academic Press
ISBN: 0128216840
Category : Science
Languages : en
Pages : 318
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Book Description
Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. Provides high-level reviews of the latest innovations in geophysics Written by recognized experts in the field Presents an essential publication for researchers in all fields of geophysics
Author: Guido Cervone
Publisher: Springer Science & Business Media
ISBN: 1461476690
Category : Computers
Languages : en
Pages : 175
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Book Description
The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309169666
Category : Science
Languages : en
Pages : 124
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Book Description
Geoscience data and collections (such as, rock and sediment cores, geophysical data, engineering records, and fossils) are necessary for industries to discover and develop domestic natural resources to fulfill the nation's energy and mineral requirements and to improve the prediction of immediate and long term hazards, such as land slides, volcanic eruptions and global climate change. While the nation has assembled a wealth of geoscience data and collections, their utility remains incompletely tapped. Many could act as invaluable resources in the future but immediate action is needed if they are to remain available. Housing of and access to geoscience data and collections have become critical issues for industry, federal and state agencies, museums, and universities. Many resources are in imminent danger of being lost through mismanagement, neglect, or disposal. A striking 46 percent of the state geological surveys polled by the committee reported that there is no space available or they have refused to accept new material. In order to address these challenges, Geoscience Data and Collections offers a comprehensive strategy for managing geoscience data and collections in the United States.
Author: Petr Skoda
Publisher: Elsevier
ISBN: 0128191546
Category : Science
Languages : en
Pages : 472
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Book Description
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. Addresses both astronomy and geosciences in parallel, from a big data perspective Includes introductory information, key principles, applications and the latest techniques Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields
Author: Gaur, Loveleen
Publisher: IGI Global
ISBN: 1668473216
Category : Technology & Engineering
Languages : en
Pages : 324
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Book Description
With the emergence of smart technology and automated systems in today’s world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.
Author: P.R. Hill
Publisher: Geological Society of London
ISBN: 1786204762
Category : Science
Languages : en
Pages : 300
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Book Description
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: B. S. Daya Sagar
Publisher: Springer Nature
ISBN: 3030850404
Category : Science
Languages : en
Pages : 1744
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Book Description
The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.
