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. 2020 Jul 1;10:211. doi: 10.1038/s41398-020-00893-4

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — a Accuracy of the geospatial coordinates for each participant represented by the confidence in meters (colored in 25% quantiles). The confidence of each geospatial coordinate is interpreted as the 68% probability that true location is within the distance in meters. b Adjusted Rand Index for each epsilon value combined with the standard error. The optimal $\in$ value is 150m with an Adjusted Rand Index of 0.87, this point is marked by the arrowed line.