QPredict: Using low quality volunteered geospatial data to evaluate high quality authority data: A case study on building footprint data. Homburg, T., Staab, S., & Boochs, F. ACM Transactions on Spatial Algorithms and Systems, ACM New York, NY, jan, 2025.
QPredict: Using low quality volunteered geospatial data to evaluate high quality authority data: A case study on building footprint data [link]Paper  doi  bibtex   
@article{homburgqpredict,
  title={QPredict: Using low quality volunteered geospatial data to evaluate high quality authority data: A case study on building footprint data},
  author={Homburg, Timo and Staab, Steffen and Boochs, Frank},
  journal={ACM Transactions on Spatial Algorithms and Systems},
  publisher={ACM New York, NY},
  doi={10.1145/3715910},
  url={https://dl.acm.org/doi/10.1145/3715910},
  year={2025},
  month={jan}
}

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