Definition
Geospatial datasets are widely used in many applications including critical decision support systems. The goodness of the dataset, called the Fitness of Use (FoU), is used in the analysis and has direct bearing on the quality of derived information from the dataset that ultimately plays a role in decision making for a specific application. When a decision is made based on different sources of datasets, it is important to be able to fuse information from datasets of different degrees of FoU. Dempster-Shafer belief theory is used as the underlying conflict resolution mechanism during information fusion. Furthermore, the Dempster-Shafer belief theory is demonstrated as a viable approach to fuse information derived from different approaches in order to compute the FoU of a dataset.
Historical Background
In most...
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahonen-Rainio P, Kraak MJ (2005) Deciding on fitness for use: evaluating the utility of sample maps as an element of geospatial metadata. Cartogr Geogr Inf Sci 32(2):101–112
Braun J (2000) Dempster-Shafer theory and Bayesian reasoning in multisensor data fuSion. In: Sensor fusion: architectures, algorithms and applications IV. Proceedings of SPIE, vol 4051, Orlando, pp 255–266
Cremer F, den Breejen E, Schutte K (1998) Sensor data fusion for antipersonnel land mine detection. In: Proceedings of EuroFusion98, Great Malvern, pp 55–60
De Bruin S, Bregt A, Van De Ven M (2001) Assessing fitness for use: the expected value of spatial data sets. Int J Geogr Inf Sci 15(5):457–471
Konks D, Challa S (2005) An introduction to Bayesian and Dempster-Shafer data fusion available via DSTO-TR-1436, Edinburgh, Nov 2005. http://www.dsto.defence.gov.au/publications/2563/DSTO-TR-1436.pdf
Mihaila G, Raschid L, Vidal ME (1999) Querying, “Quality of Data” metadata. In: Proceedings of the third IEEE meta-data conference, Bethesda, Apr 1999
Sentz K, Ferson S (2002) Combination of evidence in Dempster-Shafer belief theory. Available via SANDIA technical report SAND2002-0835. http://www.sandia.gov/epistemic/Reports/SAND2002-0835.pdf
Shafer G (1976) A mathematical theory of evidence. Princeton University Press, Princeton
Vasseur B, Devillers R, Jeansoulin R (2003) Ontological approach of the fitness of use of geospatial datasets. In: Proceedings of 6th AGILE conference on geographic information science, Lyon, pp 497–504
Yao X (2003) Research issues in spatiotemporal data mining. A white paper submitted to the University Consortium for Geographic Information Science (UCGIS) workshop on geospatial visualization and knowledge discovery, Lansdowne, 18–20 Nov 2003
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this entry
Cite this entry
Soh, LK., Samal, A. (2017). Computing Fitness of Use of Geospatial Datasets. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_167
Download citation
DOI: https://doi.org/10.1007/978-3-319-17885-1_167
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17884-4
Online ISBN: 978-3-319-17885-1
eBook Packages: Computer ScienceReference Module Computer Science and Engineering