Building a spatial decision support system for conflict prevention in the Caucasus, Harmonization of heterogeneous sources and data quality assessment procedures
Geodata analysis at regional level integrates inevitably some datasets from various sources (statistical, geographical, environmental...), various scale (regional, national...) and various quality: While political structures are constantly changing, as in a potentially conflicting region such as Caucasus, these data integration issues increase. Implementation of quality control methods is an initial and essential step in the integration of geodata inside a spatial regional model. This report provides tools for data harmonization that can be applied to other datasets and other region when existing data sources do not evaluate the quality of their information. The goal of this report is to provide a quality assessment of the Caucasian GIS dataset to build the Caucasus geomodel of instability/stability. This report evaluates qualitatively and quantitatively the adequacy of this dataset to the objective in following a structured quality assessment protocol (Johnston et al. 1999) and consolidates a final geodatabase. Integrating data from a multitude of derivative geospatial products produced by different sources pose severe problems. Challenges are also introduced by the GIS technology itself. Various data are introduced in this study but the main source of statistical and spatial information is the acquisition of the geopolitical atlas dataset, the "Caucasian dataset" (Radvanyi, INALCO, 2006). In this report, four data quality elements are identified and described in the specific case of the Caucasian dataset. Lineage information, the three accuracy dimensions (positional, temporal and attribute), logical consistency and completeness evaluations are qualitatively and quantitatively assessed by various metrics. This paper illustrates the use of automatic cartographic and data cleanup techniques of Geographic Information System (GIS) to solve data issues (self overlapping, dangles, pseudonodes and gap in spatial data).
Bibliographic Reference: EUR 22949 EN (2007), 51 pp. Free of charge
Availability: Katalogue Number: LB-NA-22949-EN-C The PDF version can be downloaded from: http://bookshop.europa.eu
ISBN: ISBN 978-92-79-07140-9
Record Number: 200819739 / Last updated on: 2008-05-05
Original language: en
Available languages: en