By B. Van Loenen

Inside info societies, info availability is a key factor affecting society's health. A geographic details infrastructure (GII) is the underlying starting place of this type of society with reference to geographic information.IOS Press is a world technological know-how, technical and scientific writer of fine quality books for teachers, scientists, and pros in all fields. a few of the parts we submit in: -Biomedicine -Oncology -Artificial intelligence -Databases and data platforms -Maritime engineering -Nanotechnology -Geoengineering -All elements of physics -E-governance -E-commerce -The wisdom economic climate -Urban reviews -Arms keep an eye on -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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For example, the European Union initiative to develop the infrastructure of geographic information for Europe (INSPIRE, 2004) aims to address both typical information issues as metadata, information specifications and information exchange, and the capacity building and awareness raising function. A similar strategy is found in the Netherlands (Ravi, 2003). 5). The GII includes the following components: ■ (Framework) datasets; ■ Institutional framework; ■ Technology; ■ Standards; ■ Financial resources, and ■ Human resources.

How may one use scarce (public) resources for the provision of needed geographic information. These questions are addressed in developing GIIs. 4 What is a GII? 1 Introduction The Executive Order 12906 of the Clinton administration in the US, launched the concept of National Geographic information infrastructures in the political arena. It defines a National Geographic information infrastructure as “the technology, policies, standards, and human resources necessary to acquire, process, store, distribute, and improve utilisation of geospatial data” (Executive Order, 1994, amended by Executive Order, 2003).

For information integration also the technology must allow the information to be integrated with other information. Further, a dataset’s specifications should adhere to standards in order to be interoperable with other datasets. Chapter 4 elaborates on the interoperability of datasets. With fully integrated datasets (both horizontally and vertically) and widely shared datasets throughout the communities that need this information, the information is likely to be collected only once, and the interpretation of the information will be without discussion.

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