Geographic information systems to spatial data infrastructures,
Автор: Rees Название: Physical Principles of Remote Sensing (2017) ISBN: 052118116X ISBN-13(EAN): 9780521181167 Издательство: Cambridge Academ Рейтинг: Цена: 6599.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering a wide range of remote sensing techniques and applications, this new edition is now more accessible to students, while retaining its focus on physical and mathematical principles. Chapter summaries, review questions, problem sets and supporting online material allow students to test their understanding and practise handling data for themselves.
Автор: Ian P. Williamson, Abbas Rajabifard, Mary-Ellen F. Feeney Название: Developing Spatial Data Infrastructures: From Concept to Reality ISBN: 1138372501 ISBN-13(EAN): 9781138372504 Издательство: Taylor&Francis Рейтинг: Цена: 9645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Expert perspectives on SDI theory and practice
The spatial data infrastructure (SDI) concept continues to evolve and become an increasingly important element of the infrastructure that supports economic development, environmental management, and social stability. Because of its dynamic and complex nature, however, it remains a fuzzy concept to many, and depending on their needs and circumstances, practitioners, researchers, and governments adopt different views of it. Developing Spatial Data Infrastructures: from Concept to Reality makes a timely contribution to the theory and practice of SDIs and breaks new ground in improving understanding of their relevance and value. It provides expert overviews of policies, concepts, standards, and practices associated with the design, implementation, and operation of SDIs. It introduces the concept of an SDI Hierarchy based on Hierarchical Spatial Reasoning, sets out the similarities and differences between SDIs operating within and between different jurisdictions, and identifies factors key to the success of SDI initiatives. Built on key contributions to the International Symposium on Spatial Data Infrastructure held in Melbourne in November 2001, this book is the first of its kind to provide address both the theoretical and practical aspects of developing appropriate SDIs. It offers unique, detailed discussions on the challenges and direction of future SDI development and thus provides an outstanding resource for those involved in building and maintaining SDIs and for GIS professionals and students.
Автор: Javier Nogueras-Iso; Francisco Javier Zarazaga-Sor Название: Geographic Information Metadata for Spatial Data Infrastructures ISBN: 3642063802 ISBN-13(EAN): 9783642063800 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Metadata play a fundamental role in both DLs and SDIs. Commonly defined as "structured data about data" or "data which describe attributes of a resource" or, more simply, "information about data", it is an essential requirement for locating and evaluating available data. Therefore, this book focuses on the study of different metadata aspects, which contribute to a more efficient use of DLs and SDIs. The three main issues addressed are: the management of nested collections of resources, the interoperability between metadata schemas, and the integration of information retrieval techniques to the discovery services of geographic data catalogs (contributing in this way to avoid metadata content heterogeneity).
Название: Spatial Data Quality ISBN: 113811782X ISBN-13(EAN): 9781138117822 Издательство: Taylor&Francis Рейтинг: Цена: 12554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce, distribute, and use geospatial data.
Focusing on users and decisions as well as the data, Spatial Data Quality: From Process to Decisions provides an up-to-date overview of scientific progress in this core sub-discipline of the Geographic Information Sciences. Presenting results from a number of current research projects in spatial data quality (SDQ) -- from the assessment of data accuracy to legal aspects relating to the quality of geographic information -- this reference reflects the changes in practice in response to the rapid technological developments over the past decade.
An impressive panel of internationally recognized expert contributors focuses on the relationship between the quality of geographic data and the quality of decisions based on such data. Structured for easy reference, the first section of the book discusses conceptual approaches to SDQ, the second presents a number of applications of spatial data quality methods, the third looks at SDQ issues for remote sensing data, and the final section presents papers that consider the interface between the law and SDQ.
In addition to the main chapters presented in each section, a number of shorter notes present on-going and recent research projects investigating various aspects of spatial data quality.
Автор: Burkholder Название: The 3D Global Spatial Data Model - ISBN: 1498722164 ISBN-13(EAN): 9781498722162 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This new second edition demystifies the concepts of spatial data accuracy and provides mathematical clarity to issues of network accuracy and local accuracy. Ideal for both beginner and advanced levels, this book also provides guidance and insight on how to link to the data collected and stored in legacy systems.
Описание: Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data aims to escalate the current scope of research to support the development of semantically interoperable systems of geographic space. This reference will aid to university lecturers and professors, students, researchers, developers of the spatial applications and the developers of the spatial semantic applications will gain important guidance.
Описание: Topics covered include the design and use of GIS and spatial models, AI tools for spatial modelling in GIS, spatial statistical analysis and GIS, GIS and dynamic modelling, GIS in urban planning and policy making, information systems for policy evaluation, and spatial decision support systems.
Автор: Thatcher Jim, Shears Andrew, Eckert Josef Название: Thinking Big Data in Geography: New Regimes, New Research ISBN: 1496204980 ISBN-13(EAN): 9781496204981 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 3762.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography’s major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields, notably the digital humanities and the study of social justice. The volume concludes with theoretical applications of the geoweb and big data as they pertain to society as a whole, examining the ways in which user-generated data come into the world and are complicit in its unfolding. The contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.
Автор: Thatcher Jim, Shears Andrew, Eckert Josef Название: Thinking Big Data in Geography: New Regimes, New Research ISBN: 0803278829 ISBN-13(EAN): 9780803278820 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 9405.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography’s major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields, notably the digital humanities and the study of social justice. The volume concludes with theoretical applications of the geoweb and big data as they pertain to society as a whole, examining the ways in which user-generated data come into the world and are complicit in its unfolding. The contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.
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