Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Spatial Planning in the Big Data Revolution, Angioletta Voghera, Luigi La Riccia


Варианты приобретения
Цена: 28552.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до:
Ориентировочная дата поставки:
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Angioletta Voghera, Luigi La Riccia
Название:  Spatial Planning in the Big Data Revolution
ISBN: 9781522579274
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 1522579273
Обложка/Формат: Hardback
Страницы: 320
Вес: 0.91 кг.
Дата издания: 28.01.2019
Серия: Advances in environmental engineering and green technologies
Язык: English
Размер: 254 x 178 x 22
Читательская аудитория: Professional and scholarly
Ключевые слова: Information technology: general issues,Geographical information systems (GIS) & remote sensing,Technology: general issues,Instruments & instrumentation engineering, TECHNOLOGY & ENGINEERING / General,TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic
Рейтинг:
Поставляется из: Англии
Описание: Through interaction with other databases such as social media, geographic information systems have the ability to build and obtain not only statistics defined on the flows of people, things, and information but also on perceptions, impressions, and opinions about specific places, territories, and landscapes. It is thus necessary to systematize, integrate, and coordinate the various sources of data (especially open data) to allow more appropriate and complete analysis, descriptions, and elaborations. Spatial Planning in the Big Data Revolution is a critical scholarly resource that aims to bring together different methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for territorial, social, economic, environmental, transport, energy, real estate, and landscape evaluation. Additionally, the book addresses a number of fundamental objectives including the application of big data analysis in supporting territorial analysis, validating crowdsourcing and crowdmapping techniques, and disseminating information and community involvement. Urban planners, architects, researchers, academicians, professionals, and practitioners in such fields as computer science, data science, and business intelligence will benefit most from the research contained within this publication.


The Rise of Big Spatial Data

Автор: Ivan
Название: The Rise of Big Spatial Data
ISBN: 3319451227 ISBN-13(EAN): 9783319451220
Издательство: Springer
Рейтинг:
Цена: 30745.00 р.
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.

The Real and Virtual Worlds of Spatial Planning

Автор: Martina Koll-Schretzenmayr; Marco Keiner; Gustav N
Название: The Real and Virtual Worlds of Spatial Planning
ISBN: 3642073948 ISBN-13(EAN): 9783642073946
Издательство: Springer
Рейтинг:
Цена: 22201.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: They present case studies - from North America, Europe, Australia, Asia and Africa - that ground the exploration of ideas in the realities of sustainable urban and regional planning, landscape planning and present the prospects for using virtual worlds for modeling spatial environments and their application in planning.

Spatial Data Handling in Big Data Era

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: 19564.00 р.
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.

Spatial Big Data Science

Автор: Zhe Jiang; Shashi Shekhar
Название: Spatial Big Data Science
ISBN: 3319601946 ISBN-13(EAN): 9783319601946
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
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.

Adjustment Computations: Spatial Data Analysis, Si xth Edition

Автор: Charles D. Ghilani
Название: Adjustment Computations: Spatial Data Analysis, Si xth Edition
ISBN: 1119385989 ISBN-13(EAN): 9781119385981
Издательство: Wiley
Рейтинг:
Цена: 24702.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The definitive guide to bringing accuracy to measurement, updated and supplemented Adjustment Computations is the classic textbook for spatial information analysis and adjustment computations, providing clear, easy-to-understand instruction backed by real-world practicality.

Headway in Spatial Data Handling

Автор: Anne Ruas; Christopher Gold
Название: Headway in Spatial Data Handling
ISBN: 3642088090 ISBN-13(EAN): 9783642088094
Издательство: Springer
Рейтинг:
Цена: 54365.00 р.
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.

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
Рейтинг:
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.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия