Spatial Data Handling in Big Data Era: Select Papers from the 17th Igu Spatial Data Handling Symposium 2016, Zhou Chenghu, Su Fenzhen, Harvey Francis
Автор: Chenghu Zhou; Fenzhen Su; Francis Harvey; Jun Xu Название: Spatial Data Handling in Big Data Era ISBN: 9811044236 ISBN-13(EAN): 9789811044236 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues.
Автор: Sabine Timpf; Patrick Laube Название: Advances in Spatial Data Handling ISBN: 3662510510 ISBN-13(EAN): 9783662510513 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Specially selected from the reviewed and edited proceedings of the 2012 International Symposium on Spatial Data Handling, this collection of the latest research achievements incorporates findings in all three of these dynamic and expanding disciplines.
Автор: Francis Harvey; Yee Leung Название: Advances in Spatial Data Handling and Analysis ISBN: 3319383205 ISBN-13(EAN): 9783319383200 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains a selection of papers from the 16th International Symposium on Spatial Data Handling (SDH), the premier long-running forum in geographical information science. This collection offers readers exemplary contributions to geospatial scholarship and practice from the conference`s 30th anniversary.
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 Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Anne Ruas; Christopher Gold Название: Headway in Spatial Data Handling ISBN: 3642088090 ISBN-13(EAN): 9783642088094 Издательство: Springer Рейтинг: Цена: 362430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains the proceedings of the international Symposium on Spatial Data Handling, the premier research forum for Geographic Information Science (GIS). The symposium places particular emphasis on identifying significant headway in GIS.
Автор: Andreas Riedl; Wolfgang Kainz; Gregory A. Elmes Название: Progress in Spatial Data Handling ISBN: 366250054X ISBN-13(EAN): 9783662500545 Издательство: Springer Рейтинг: Цена: 325160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Since the first symposium in 1984 the International Symposia on Spatial Data Handling (SDH) has become a major resource for recent advances in GIS research. The International Symposium on Spatial Data Handling is regarded as a premier international research forum for GIS.
Автор: Peter F. Fisher Название: Developments in Spatial Data Handling ISBN: 3642061486 ISBN-13(EAN): 9783642061486 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The International Symposium on Spatial Data Handling is the premier research forum for Geographic Information Science. The papers published in this volume are carefully refereed by an international programme committee composed of experts in various areas of GIS who are especially renowned for their scientific innovation.
Автор: Dianne Richardson; Peter van Oosterom Название: Advances in Spatial Data Handling ISBN: 3642628591 ISBN-13(EAN): 9783642628597 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, entitled Advances in Spatial Data Handling, is a compendium of papers resulting from the International Symposium on Spatial Data Handling (SDH), held in Ottawa, Canada, July 9-12, 2002.
Автор: Ivan Название: The Rise of Big Spatial Data ISBN: 3319451227 ISBN-13(EAN): 9783319451220 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Zhe Jiang; Shashi Shekhar Название: Spatial Big Data Science ISBN: 3319601946 ISBN-13(EAN): 9783319601946 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Emerging Spatial Big Data (SBD) has potential to solve societal challenges such as water resource management, food security, disaster response and transportation. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data.
Автор: Jorg Verstraete Название: Artificial Intelligent Methods for Handling Spatial Data ISBN: 3030002373 ISBN-13(EAN): 9783030002374 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding. The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.
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