Geospatial Data Infrastructure

Concepts, Cases, and Good Practice

Автор: Richard Groot, John D. McLaughlin

Език:

Корици: С твърди корици

Издател: Oxford University Press

Наличност: 50% вероятност

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Geographic Information Systems (GIS) technology, under development since the late 1960s, is being ap...

Информация за книгата

Автор

Richard Groot, John D. McLaughlin

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2000

страници

318

EAN

9780198233817

ISBN

0198233817

Enbook ID

04523586

Издател

Oxford University Press

Теглоt

618

Размери

162 x 239 x 24

Пълно описание

Geographic Information Systems (GIS) technology, under development since the late 1960s, is being applied in a growing variety of public and private sector endeavours: real estate planning, land administration, resource management, environmental monitoring, etc. Each of these endeavours entails the creation and management of a variety of datasets. In addition to the cost of the technology, the most significant cost element in GIS exploitation is the establishment and maintenance of the relevant standardized databases, keeping these databases current and ensuring their inter-operability. Achieving cost-effective data sharing from different sources, however, requires policies and standards that provide a legislative, regulatory, financial operating environment of predictable integrity: a Geospatial Data Infrastructure (GDI). Its creation demands negotiating agreements defining the institutional environment and arrangements between database-producing and using organizations. This book aims to provide a clear conceptual framework, consistent terminology, reference cases, and recommended practices for design, implementation, and management of GDI. It is meant both for academics and for practitioners faced with the design, implementation, and maintenance of GDI at all levels of government and private sector enterprises, as well as in the international financial institutions involved with underwriting GDI projects.

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Geospatial Data Infrastructure

Concepts, Cases, and Good Practice

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