Spatial Data Infrastructures at Work


Book Description

Spatial data identifies the geographic location of natural and constructed features and boundaries on Earth, and has become increasingly important in various administrative practices. In order to facilitate access, use, and sharing of spatial data among organisations, information is brought together in clustered initiatives known as Spatial Data Infrastructures (SDIs). In Spatial Data Infrastructures at Work, Ezra Dessers introduces spatial enablement as a key concept to describe the realisation of SDI objectives in the context of individual public sector processes. Drawing on four years of research, Dessers argues that it has become essential, even unavoidable, to manage and (re)design inter-organisational process chains in order to further advance the role of SDIs as an enabling platform for a spatially enabled society. Detailed case studies illustrate that the process he describes is the setting in which one can see the SDI at work. This book is must-read material for academics, practitioners, and policymakers dealing with sdi and spatial enablement. By extension, the book will also be of great interest to anyone confronted with societal issues that call for an integrated approach, implying in-depth cooperation between multiple organisations.




Developing Spatial Data Infrastructures


Book Description

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




Spatial Data Infrastructures in Context


Book Description

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




Geographic Information Metadata for Spatial Data Infrastructures


Book Description

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).




Geographic Information Systems to Spatial Data Infrastructures


Book Description

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.




GIS Worlds


Book Description

"In describing the emergence of the spatial data infrastructure (SDI) phenomenon, this book covers the diffusion and evolution of SDIs around the world, and indicates the countries in which SDIs are far along, and those in which more work is needed. The implementation of SDIs from a practical perspective and a method of institution building for regional, continental, and global SDIs is outlined. This guide offers recommendations about how SDI stakeholders around the world can leverage the work already done and maintain the momentum that is currently driving the global SDI phenomenon." -- Publisher.




Advancing Strategic Science


Book Description

Science is increasingly driven by data, and spatial data underpin the science directions laid out in the 2007 U.S. Geological Survey (USGS) Science Strategy. A robust framework of spatial data, metadata, tools, and a user community that is interactively connected to use spatial data in an efficient and flexible way-known as a spatial data infrastructure (SDI)-must be available for scientists and managers to find, use, and share spatial data both within and beyond the USGS. Over the last decade, the USGS has conducted breakthrough research that has overcome some of the challenges associated with implementing a large SDI. Advancing Strategic Science: A Spatial Data Infrastructure Roadmap for the U.S. Geological Survey is intended to ground those efforts by providing a practical roadmap to full implementation of an SDI to enable the USGS to conduct strategic science.




An Architectural View of Spatial Data Infrastructures


Book Description

Las infraestructuras de datos espaciales son grandes sistemas de información distribuidos en Internet, basados en estándares abiertos y que permiten compartir y usar datos cuya localización es importante, como carreteras, imágenes de satélite y aéreas, negocios y lugares de interés turístico, mapas de ruido y contaminación, callejeros o datos demográficos. Este libro presenta una aproximación basada en arquitecturas de sistemas de información distribuidos para especificar y documentar infraestructuras de datos espaciales y facilitar así su desarrollo y análisis.




Toward a Coordinated Spatial Data Infrastructure for the Nation


Book Description

The National Spatial Data Infrastructure (NSDI) is the means to assemble geographic information that describes the arrangement and attributes of features and phenomena on the Earth. This book advocates the need to make the NSDI more robust. The infrastructure includes the materials, technology, and people necessary to acquire, process, store, and distribute such information to meet a wide variety of needs. The NSDI is more than hardware, software, and data; it is the public foundation on which a marketplace for spatial products will evolve.




Spatial Data Mining


Book Description

· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.