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The Rise of Big Spatial Data, Ivan


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Цена: 30745.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Ivan
Название:  The Rise of Big Spatial Data
ISBN: 9783319451220
Издательство: Springer
Классификация:

ISBN-10: 3319451227
Обложка/Формат: Hardback
Страницы: 408
Вес: 0.81 кг.
Дата издания: 2017
Серия: Lecture Notes in Geoinformation and Cartography
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 40 tables, black and white; 129 illustrations, color; 26 illustrations, black and white; xxvii, 408 p. 155 illus., 129 illus. in color.
Размер: 234 x 156 x 24
Читательская аудитория: Professional & vocational
Основная тема: Geography
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16–18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation.Welcome to dawn of the big data era: though it’s in sight, it isn’t quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all “small data” issues that soon create “big data” troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.

Дополнительное описание: Application of WEB-GIS for Dissemination and 3D Visualization of Larege-Volume LIDAR Data.- Design and Evaluation of WEBGL-BASED Heat Map Visualization for Big Point Data.- Sparse Big Data Problem: A Case Study of Czech Graffiti Crimes.- Surveying of Open



Adjustment Computations: Spatial Data Analysis, 5th Edition

Автор: Charles D. Ghilani
Название: Adjustment Computations: Spatial Data Analysis, 5th Edition
ISBN: 0470464917 ISBN-13(EAN): 9780470464915
Издательство: Wiley
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Цена: 23760.00 р.
Наличие на складе: Поставка под заказ.

Описание: the complete guide to adjusting for measurement error—expanded and updated no measurement is ever exact. Adjustment Computations updates a classic, definitive text on surveying with the latest methodologies and tools for analyzing and adjusting errors with a focus on least squares adjustments, the most rigorous methodology available and the one on which accuracy standards for surveys are based. This extensively updated Fifth Edition shares new information on advances in modern software and GNSS-acquired data. Expanded sections offer a greater amount of computable problems and their worked solutions, while new screenshots guide readers through the exercises. Continuing its legacy as a reliable primer, Adjustment Computations covers the basic terms and fundamentals of errors and methods of analyzing them and progresses to specific adjustment computations and spatial information analysis. Current and comprehensive, the book features: •Easy-to-understand language and an emphasis on real-world applications •Analyzing data in three dimensions, confidence intervals, statistical testing, and more •An updated support web page containing a 150-page solutions manual, software (STATS, ADJUST, and MATRIX for Windows computers), MathCAD worksheets, and more at http://www.wiley.com/college/ghilani •The latest information on advanced topics such as the tau criterion used in post-adjustment statistical blunder detection Adjustment Computations, Fifth Edition is an invaluable reference and self-study resource for working surveyors, photogrammetrists, and professionals who use GNSS and GIS for data collection and analysis, including oceanographers, urban planners, foresters, geographers, and transportation planners. It's also an indispensable resource for students preparing for licensing exams and the ideal textbook for courses in surveying, civil engineering, forestry, cartography, and geology.

Fundamentals of Spatial Data Quality

Автор: Devillers
Название: Fundamentals of Spatial Data Quality
ISBN: 1905209568 ISBN-13(EAN): 9781905209569
Издательство: Wiley
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Цена: 22010.00 р.
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Описание: This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context.

Advances in Spatial Data Handling and GIS

Автор: Anthony G.O. Yeh; Wenzhong Shi; Yee Leung; Chenghu
Название: Advances in Spatial Data Handling and GIS
ISBN: 3642445535 ISBN-13(EAN): 9783642445538
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Containing selected papers from the 14th International Symposium on Spatial Data Handling, this book offers a cross-section of cutting-edge research currently under way, and features topics ranging from digital cartography to GIS for sustainable development.

Data Mining: The Textbook

Автор: С.Aggarwal
Название: Data Mining: The Textbook
ISBN: 3319141414 ISBN-13(EAN): 9783319141411
Издательство: Springer
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Цена: 9781.00 р.
Наличие на складе: Поставка под заказ.

Описание: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.

Big Data Analytics

Автор: Pyne
Название: Big Data Analytics
ISBN: 8132236262 ISBN-13(EAN): 9788132236269
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.

Data Mining: Concepts and Techniques,

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 9720.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.


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