Cooperation and partnerships for spatial data activities among the federal government, state and local governments, and the private sector will be essential for the development of a robust National Spatial Data Infrastructure (NSDI). This book addresses the nature of these partnerships and examines
Toward a Coordinated Spatial Data Infrastructure for the Nation
โ Scribed by National Research Council; Division on Earth and Life Studies; Environment and Resources Commission on Geosciences; Mapping Science Committee
- Publisher
- National Academies Press
- Year
- 1993
- Tongue
- English
- Leaves
- 191
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Subjects
Geographic information systems.
๐ SIMILAR VOLUMES
<p>The National Spatial Data Infrastructure (NSDI) was envisioned as a way of enhancing the accessibility, communication, and use of geospatial data to support a wide variety of decisions at all levels of society. The goals of the NSDI are to reduce redundancy in geospatial data creation and mainten
<p>This book represents part of the result of a project undertaken by the C- ter for Sustainable Urban Regeneration (cSUR). The center was est- lished in 2003 by a research fund titled the 21st Century Center of Exc- lence (COE) Program provided by the Ministry of Education, Culture, Sports, Science
Initiatives, such as INSPIRE and the US DHS Geospatial Data Model, are working to develop a rich set of standards that will create harmonized models and themes for the spatial information infrastructure. However, this is only the first step. Semantically meaningful models must still be developed in
Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements. Modern measurement systems operate in a 3-D spatial environment. <b>The 3-D Global Spatial Data Model: Foundation of the Spatial Data Infrastructure offers a
Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements. Modern measurement systems operate in a 3-D spatial environment. <b>The 3-D Global Spatial Data Model: Foundation of the Spatial Data Infrastructure offers a