{"_id":"pyDhCrMq3JFgSs8Tw","bibbaseid":"homburg-staab-boochs-qpredictusinglowqualityvolunteeredgeospatialdatatoevaluatehighqualityauthoritydataacasestudyonbuildingfootprintdata-2025","author_short":["Homburg, T.","Staab, S.","Boochs, F."],"bibdata":{"bibtype":"article","type":"article","title":"QPredict: Using low quality volunteered geospatial data to evaluate high quality authority data: A case study on building footprint data","author":[{"propositions":[],"lastnames":["Homburg"],"firstnames":["Timo"],"suffixes":[]},{"propositions":[],"lastnames":["Staab"],"firstnames":["Steffen"],"suffixes":[]},{"propositions":[],"lastnames":["Boochs"],"firstnames":["Frank"],"suffixes":[]}],"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","bibtex":"@article{homburgqpredict,\n title={QPredict: Using low quality volunteered geospatial data to evaluate high quality authority data: A case study on building footprint data},\n author={Homburg, Timo and Staab, Steffen and Boochs, Frank},\n journal={ACM Transactions on Spatial Algorithms and Systems},\n publisher={ACM New York, NY},\n doi={10.1145/3715910},\n url={https://dl.acm.org/doi/10.1145/3715910},\n year={2025},\n month={jan}\n}\n\n","author_short":["Homburg, T.","Staab, S.","Boochs, F."],"key":"homburgqpredict","id":"homburgqpredict","bibbaseid":"homburg-staab-boochs-qpredictusinglowqualityvolunteeredgeospatialdatatoevaluatehighqualityauthoritydataacasestudyonbuildingfootprintdata-2025","role":"author","urls":{"Paper":"https://dl.acm.org/doi/10.1145/3715910"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://situx.github.io/files/mypubs.bib","dataSources":["69aQ62M9K62mHKxJs"],"keywords":[],"search_terms":["qpredict","using","low","quality","volunteered","geospatial","data","evaluate","high","quality","authority","data","case","study","building","footprint","data","homburg","staab","boochs"],"title":"QPredict: Using low quality volunteered geospatial data to evaluate high quality authority data: A case study on building footprint data","year":2025}