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.
Описание: The Global Positioning System (GPS) may be used in conjunction with Inertial Navigation Systems (INS) for tracking and navigation and may be applied in the civilian and military sectors to track devices, to locate people and objects, in the air, on the ground, or at sea.
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.
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.
Автор: Devillers Название: Fundamentals of Spatial Data Quality ISBN: 1905209568 ISBN-13(EAN): 9781905209569 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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: 23508.00 р. 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: Bellatreche Название: Model and Data Engineering ISBN: 331945546X ISBN-13(EAN): 9783319455464 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Conference on Model and Data Engineering, MEDI 2016, held in Almeria, Spain, in September 2016. The 17 full papers and 10 short papers presented together with 2 invited talks were carefully reviewed and selected from 62 submissions.
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