Quality Evaluation of Volunteered Geographic Information (VGI) by assessing user’s reliability, using Artificial Neural Networks (ANN)
Author:
Publisher
Apex Publishing
Link
https://jgit.kntu.ac.ir/article-1-876-en.pdf
Reference30 articles.
1. [1] M. F. Goodchild, "Citizens as sensors: the world of volunteered geography," GeoJournal, vol. 69, no. 4, pp. 211-221, 2007.
2. [2] J. Severinsen, M. de Roiste, F. Reitsma, and E. Hartato, "VGTrust: measuring trust for volunteered geographic information," International Journal of Geographical Information Science, vol. 33, no. 8, pp. 1683-1701, 2019.
3. The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models
4. An updating of landslide susceptibility prediction from the perspective of space and time
5. [5] C. C. Fonte, L. Bastin, L. See, G. Foody, and F. Lupia, "Usability of VGI for validation of land cover maps," International Journal of Geographical Information Science, vol. 29, no. 7, pp. 1269-1291, 2015/07/03 2015, doi: 10.1080/13658816.2015.1018266.
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