Описание: This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data.
Автор: Edited By David R. Green, Billy J. Gregory, Alexan Название: Unmanned Aerial Remote Sensing ISBN: 1032474343 ISBN-13(EAN): 9781032474342 Издательство: Taylor&Francis Рейтинг: Цена: 7042.00 р. Наличие на складе: Нет в наличии.
Описание: In response to the rapidly evolving technology and applications UAS technology, this book discusses both UAV and similar systems` platforms and environmental applications. The platforms and sensors provide the setting while the applications chapters are focused on the environment from monitoring to mapping. The book also addresses the constraint
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 14573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
Описание: This book provides the reader a broad grounding in the science of Earth Observation (EO) of our changing planet. It contains a comprehensive sequenced discussion covering the significant themes of global change, their cause, and how they can be monitored through time.
Описание: Part of a series of manuals covering the range of applications of remotely sensed imagery, this volume addresses the use of this technology in natural resource management and environmental monitoring. It covers terrestrial ecosystems, aquatic ecosystems, and agriculture ecosystems, as well as future directions in technology and research.
Автор: Prashant K. Srivastava; Saumitra Mukherjee; Manika Название: Remote Sensing Applications in Environmental Research ISBN: 331935941X ISBN-13(EAN): 9783319359410 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research.
Автор: Manfred F. Buchroithner Название: Remote Sensing for Environmental Data in Albania ISBN: 0792365275 ISBN-13(EAN): 9780792365273 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Research Workshop on Remote Sensing for Environmental Data in Albania: A Strategy for Integrated Management, 6-10 October 1999
Автор: Friedrich Kuehn; C. Newcomb; Trude V.V. King; H. T Название: Remote Sensing for Site Characterization ISBN: 3642629512 ISBN-13(EAN): 9783642629518 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Equally, the considerable dissimilarities in population density and in distances between waste disposal areas, settlements, and areas of protected groundwater necessitate a "diversified methods" approach.
Автор: Dale Название: Mathematical Techniques in GIS ISBN: 146659554X ISBN-13(EAN): 9781466595545 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The second edition of a bestseller, Mathematical Techniques in GIS demystifies the mathematics used in the manipulation of spatially related data. The author takes a step-by-step approach through the basics of arithmetic, algebra, geometry, trigonometry and calculus that underpin the management of such data. He then explores the use of matrices, determinants and vectors in the handling of geographic information so that the data may be analyzed and displayed in two-dimensional form either in the visualization of the terrain or as map projections.
See What's New in the Second Edition:
Summaries at the end of each chapter
Worked examples of techniques described
Additional material on matrices and vectors
Further material on map projections
New material on spatial correlation
A new section on global positioning systems
Written for those who need to make use geographic information systems but have a limited mathematical background, this book introduces the basic statistical techniques commonly used in geographic information systems and explains best-fit solutions and the mathematics behind satellite positioning. By understanding the mathematics behind the gathering, processing, and display of information, you can better advise others on the integrity of results, the quality of the information, and the safety of using it.
Автор: Byron Fred Название: Environmental Remote Sensing and Systems Analysis ISBN: 1682867730 ISBN-13(EAN): 9781682867730 Издательство: Неизвестно Рейтинг: Цена: 24460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Remote sensing is the technique of gathering data and information about an object or phenomenon without making direct contact with the studied entity. This technique has vast environmental applications, which facilitate investigations in the fields of hydrology, geology, glaciology, ecology, geography, etc. Remote sensing is divided into the two classifications of active and passive remote sensing. The different data acquisition techniques used for environmental remote sensing are hyperspectral imaging, geodetic remote sensing, radar, LIDAR, etc. This book elucidates new techniques and applications of environmental remote sensing and systems analysis in a multidisciplinary manner. It strives to provide a fair idea of this discipline and to help develop a better understanding of the latest advances within this field. As this field is emerging at a rapid pace, the contents of this book will help the readers understand the modern concepts and applications of the subject.
Описание: This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.
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