Описание: Equally useful to those new to the field as well as experienced engineers, this comprehensive reference includes step-by-step details of derivations and implementation, providing an up-to-date guide to the core elements of INS and GPS.
Автор: Demers, Michael N. Название: Fundamentals of geographical information systems ISBN: 0470129069 ISBN-13(EAN): 9780470129067 Издательство: Wiley Рейтинг: Цена: 25819.00 р. Наличие на складе: Поставка под заказ.
Описание: Streamlines the coverage of important concepts to make the materials more accessible Offers more practical and relevant coverage of GIS design and implementation Reflects that latest changes in GIS applications Uncovers the most recent developments on GIS research Includes Web-based labs and links to current and updated dataset resources.
Автор: Doberstein Название: Fundamentals of GPS Receivers ISBN: 1461404088 ISBN-13(EAN): 9781461404088 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fundamentals of GPS receivers covers GPS receivers` theory and practice. The book examines three types of GPS receiver implementations: first is the custom design by the author; Chapters discuss carrier phase measurements and GPS time and frequency measurements.
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.
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: 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.
Описание: Combining GIS concepts and fundamental spatial thinking methodology with real programming examples, this book introduces popular Python-based tools and their application to solving real-world problems. It elucidates the programming constructs of Python with its high-level toolkits and demonstrates its integration with ArcGIS Theory. Filled with hands-on computer exercises in a logical learning workflow this book promotes increased interactivity between instructors and students while also benefiting professionals in the field with vital knowledge to sharpen their programming skills. Readers receive expert guidance on modules, package management, and handling shapefile formats needed to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom-tested exercises are all housed here to permit users to become competitive in the GIS/IT job market and industry.
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