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Accuracy and similarity aspects in online geocoding services: a comparative evaluation for Google and Bing maps

dc.contributor.authorKilic, Batuhan
dc.contributor.authorGulgen, Fatih
dc.date.accessioned2026-06-27T14:27:04Z
dc.date.issued2020
dc.description.abstractGeocoding is a method used to convert address information into geographical coordinates. It plays a vital role in displaying the relationship between geographic features and semantic information expressed in texts. The objective of this study is to reveal the quality of online geocoding from postal addresses in Turkey provided by Google Maps and Bing Maps services. The quality of geocoding services in urban areas is evaluated using two particular metrics; positional accuracy and address similarity. Positional accuracy measures the distances between point features obtained through the online geocoding and reference data. Address similarity indicates the relationship between two postal addresses based on a similarity index known as the Levenshtein distance. The same performance assessment was also made with the United States' address data to make comparisons and discussions. The results show that services have different geocoding capabilities in both countries because of the differences in the addressing formats.en
dc.description.urihttps://doi.org/10.26833/ijeg.629381
dc.identifier.doi10.26833/ijeg.629381
dc.identifier.endpage119
dc.identifier.issn2548-0960
dc.identifier.issue2
dc.identifier.startpage109
dc.identifier.urihttps://hdl.handle.net/20.500.14981/60771
dc.identifier.volume5
dc.identifier.wos000517834600006
dc.language.isoeng
dc.publisherSELCUK UNIV PRESS
dc.relation.ispartofINTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES
dc.rightsopenAccess
dc.subjectGeocoding
dc.subjectGoogle Maps
dc.subjectBing Maps
dc.subjectPositional accuracy
dc.subjectLevenshtein distance
dc.subjectSTREET
dc.subjectSYSTEM
dc.subjectCRIME
dc.subjectBIAS
dc.subjectEngineering
dc.titleAccuracy and similarity aspects in online geocoding services: a comparative evaluation for Google and Bing maps
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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