{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T02:43:21Z","timestamp":1768617801370,"version":"3.49.0"},"reference-count":97,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T00:00:00Z","timestamp":1696377600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The spatial and semantic data of geographic addresses are extremely important for citizens, governments, and companies. The addresses can georeference environmental, economic, security, health, and demographic parameters in urban areas. Additionally, address components can be used by users to locate any point of interest (POI) with location-based systems (LBSs). For this reason, errors in address data can affect the geographic location of events, map representations, and spatial analyses. Thus, this paper presents the development of an algorithm for evaluating the quality of semantic and geographic information in any geospatial address dataset. The reference datasets are accessible using open data platforms or spatial data infrastructure (SDI) and volunteered geographic information (VGI), and both have been compared with commercial datasets using geocoding web services. Address quality analysis was developed using several open-source data science code libraries combined with spatial databases and geographic information systems. In addition, the quality of geographic addresses was evaluated by carrying out normalized tests in accordance with International Geospatial Standards (ISO 19157). Finally, this methodology assesses the quality of authorized and VGI address datasets that can be used for geocoding any relevant information in specific urban areas.<\/jats:p>","DOI":"10.3390\/ijgi12100407","type":"journal-article","created":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T07:47:52Z","timestamp":1696405672000},"page":"407","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Development of an Algorithm to Evaluate the Quality of Geolocated Addresses in Urban Areas"],"prefix":"10.3390","volume":"12","author":[{"given":"Rafael","family":"Sierra Requena","sequence":"first","affiliation":[{"name":"Regional Office of Directorate General for Cadastre, Ministry of Finance (Spain), Roger de Lauria n\u00ba 26, 46002 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 Carlos","family":"Mart\u00ednez-Llario","sequence":"additional","affiliation":[{"name":"Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46003 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3766-1198","authenticated-orcid":false,"given":"Edgar","family":"Lorenzo-S\u00e1ez","sequence":"additional","affiliation":[{"name":"ITACA Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Cam\u00ed de Vera s\/n, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8938-9216","authenticated-orcid":false,"given":"Elo\u00edna","family":"Coll-Aliaga","sequence":"additional","affiliation":[{"name":"ITACA Research Institute, Universitat Polit\u00e8cnica de Val\u00e8ncia, Cam\u00ed de Vera s\/n, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,4]]},"reference":[{"key":"ref_1","unstructured":"Longley, P.A., Goodchild, M.F., Maguire, D.J., and Rhind, D.W. 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