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This book covers some of the most prevalent policy issues evolving around spatial data infrastructure. First, the book addresses a variety of European SDI projects aiming at the creation of regional spatial data infrastructure. Secondly, the Dutch and American situation are described, providing insights on how two rather different legal and economic SDI settings can still allow for and serve very similar infrastructure functions. Keywords: spatial data infrastructures, development, legal and economic, Europe, United States, Netherlands.
The Availability of Spatial and Environmental Data in the European Union
Because the original and essential value of spatial data ' data that refer to specific geographical locations or areas ' lies in environmental decision-making, such data mostly originate in the public sector and are made available to people,
In the wake of the so-called information technology revolution, many stakeholders from the public and private sectors (including citizens) have indeed grown accustomed to the promise and usability of spatial data infrastructures (SDI) for data access, use, and sharing. Analyzing the obstacles as well as the processes and mechanisms of integration a
""This book explores new trends in border areas dynamics and management as well as how cross-border cooperation could or not influences the sustainable development"--Provided by publisher"--
This book draws on author’s wealth of knowledge working on numerous projects across many countries. It provides a clear overview of the development of the SDI concept and SDI worldwide implementation and brings a logical chronological approach to the linkage of GIS technology with SDI enabling data. The theory and practice approach help understand that SDI development and implementation is very much a social process of learning by doing. The author masterfully selects main historical developments and updates them with an analytical perspective promoting informed and responsible use of geographic information and geospatial technologies for the benefit of society from local to global scales. Features Subject matter spans thirty years of the development of GIS and SDI. Brings a social science perspective into GIS and SDI debates that have been largely dominated by technical considerations. Based on a world-wide perspective as a result of the author's experience and research in the USA, Australia, Canada, Brazil, Peru, China, India, Korea, Malaysia, and Japan as well as most European countries. Draws upon professional and academic experience relating to pioneering UK and European GIS research initiatives. Includes updated historical material with an analytical perspective explaining what was done right, and what didn't work.
Within information societies, information availability is a key issue affecting society's well being. A geographic information infrastructure (GII) is the underlying foundation of such a society with regards to geographic information. Access to government information policies are important for the availability and successful use of the information and the success of the GII itself. Yet there have been only a few investigations into access policy oriented towards GII developments. This book adds this perspective. Through the creation of a GII maturity matrix describing the development in GIIs, it presents new insights in the role access policies may play in the development of GIIs. The book provides policy makers with strategy guidelines for GII development, as well as information about which access policy would best promote the use of geographic information. This should result in a GII that is able to perform its appropriate infrastructure function in an information society.
The handbook demonstrates how the use and application of contemporary geospatial technologies and geographical databases are beneficial at all stages of the population and housing census process.
"This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher.
This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.