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A Changing WorldA Large-scale, Long-term view on Collecting and Sharing Landscape Data

A Changing World: A Large-scale, Long-term view on Collecting and Sharing Landscape Data Modeling and analysis of temporal and spatial processes in landscapes are based on large amounts of collected data today. These data, however, are often stored at multiple locations and are only accessible from distributed repositories. This chapter discusses techniques for efficient and effective data integration, and presents an approach for accessing distributed data based on open standards. Data from different providers may have different levels of accuracies. Therefore, data interoperability implies comprehensive reports on data accuracy and other data quality elements (metadata). We illustrate the importance of metadata within the scope of long-term monitoring surveys, where technological and scientific progress leads to permanent improvement of the sampling procedures and estimation techniques, and discuss resampling techniques and model building with existing data aiming at the optimization of data collection and the enhance- ment of comparability, reliability and accuracy of estimates of population parameters over a long period. Keywords: data interoperability, data integration, inventory planning, optimization of data collec- tion, metadata F. Kienast, O. Wildi & S. Ghosh (eds.), A Changing World. Challenges for Landscape Research, 93–111. © 2007 Springer. 94 A. Lanz, M. Brändli, A. Baltensweiler Data Interoperability: A New Focus for Management of Ecological Data Data and information are http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Changing WorldA Large-scale, Long-term view on Collecting and Sharing Landscape Data

Part of the Landscape Series Book Series (volume 8)
Editors: Kienast, Felix; Wildi, Otto; Ghosh, Sucharita
Lanz, Adrian; Brändli, Martin; Baltensweiler, Andri
A Changing World — Jan 1, 2007
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Publisher
Springer Netherlands
Copyright
© Springer Science+Business Media B.V. 2007
ISBN
978-1-4020-4434-2
Pages
93 –111
DOI
10.1007/978-1-4020-4436-6_7
Publisher site
See Chapter on Publisher Site

Abstract

Modeling and analysis of temporal and spatial processes in landscapes are based on large amounts of collected data today. These data, however, are often stored at multiple locations and are only accessible from distributed repositories. This chapter discusses techniques for efficient and effective data integration, and presents an approach for accessing distributed data based on open standards. Data from different providers may have different levels of accuracies. Therefore, data interoperability implies comprehensive reports on data accuracy and other data quality elements (metadata). We illustrate the importance of metadata within the scope of long-term monitoring surveys, where technological and scientific progress leads to permanent improvement of the sampling procedures and estimation techniques, and discuss resampling techniques and model building with existing data aiming at the optimization of data collection and the enhance- ment of comparability, reliability and accuracy of estimates of population parameters over a long period. Keywords: data interoperability, data integration, inventory planning, optimization of data collec- tion, metadata F. Kienast, O. Wildi & S. Ghosh (eds.), A Changing World. Challenges for Landscape Research, 93–111. © 2007 Springer. 94 A. Lanz, M. Brändli, A. Baltensweiler Data Interoperability: A New Focus for Management of Ecological Data Data and information are

Published: Jan 1, 2007

Keywords: Geographic Information System; National Forest Inventory; Open Geospatial Consortium; Geography Markup Language; Data Interoperability

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