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Limitations of Majority Agreement in Crowdsourced Image Interpretation.

, , , and . Trans. GIS, 21 (2): 207-223 (2017)

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The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods., , , , and . ICCSAMA, volume 453 of Advances in Intelligent Systems and Computing, page 167-180. Springer, (2016)Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data., , , , and . COSIT, volume 8116 of Lecture Notes in Computer Science, page 243-260. Springer, (2013)Geography Geo-Wiki in the Classroom: Using Crowdsourcing to Enhance Geographical Teaching., , , and . Future Internet, 6 (4): 597-611 (2014)Using control data to determine the reliability of volunteered geographic information about land cover., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Crime reduction through simulation: An agent-based model of burglary., , and . Comput. Environ. Urban Syst., 34 (3): 236-250 (2010)Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project., , , , , , and . Trans. GIS, 17 (6): 847-860 (2013)Using Four Different Least-Squared Error Functions to Train a Neural Network Rainfall-Runoff Model., , and . IICAI, page 1151-1168. IICAI, (2005)A method to compare and improve land cover datasets: application to the GLC-2000 and MODIS land cover products., and . IEEE Trans. Geosci. Remote. Sens., 44 (7-1): 1740-1746 (2006)The Rise of Collaborative Mapping: Trends and Future Directions., , and . ISPRS Int. J. Geo Inf., 2 (4): 955-958 (2013)The Role of Citizen Science in Earth Observation., , and . Remote Sensing, 9 (4): 357 (2017)