Questions & Answers - Towards understanding the quality of OpenStreetMap contributions: Results of an intrinsic quality assessment of data for Mozambique

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DOI: https://doi.org/10.5281/zenodo.3923042

Questions

  1. [Done] Cameron Green - how would your results differ when compared to other well mapped areas in Africa such as Tanzania?
  2. [Done] Which technique do you think is moust useful to help in the instrinsic studies - the K-Means or the other: PCA? Guy
  3. [DONE] Was there a effort to plot cluster-member mapping against automated error finding such as Keepright or Osmose? i.e. to find errors in mapping tied to specific clusters? (Great job!) -Greg_Rose
  4. [DONE] Did you try out other clustering methods aside from K-means? Can you explain more about your reasoning for using a parametric-based clustering method over a density-based clustering method? - ardieorden
    1. got it, thanks!
  5. [Done] Will you be continuing with this study, or is the project now complete?
  6. [DONE] Spatial data quality has 5 elements according to https://www150.statcan.gc.ca/n1/pub/92-195-x/2011001/other-autre/qua-eng.htm . On what data quality element are you after: Completeness? Accurracy? other? ~Stefan K.

Comments

  • [DONE] Wow, awesome work – YaguraStation
  • [DONE] Really interesting analysis based upon the clustering of users. It reflects other studies I have seen from other studies with key contributors adding much data. Guy