This work is licensed under the Creative Commons Attribution 4.0 International License.
Atluri V., Chun S.A., 2004. An authorization model for geospatial data. IEEE Transactions on Dependable and Secure Computing 1(4): 238–254. DOI 10.1109/TDSC.2004.32.AtluriV.ChunS.A.2004An authorization model for geospatial dataIEEE Transactions on Dependable and Secure Computing1423825410.1109/TDSC.2004.32Open DOISearch in Google Scholar
Azri S., Ujang U., Rahman A.A., Anton F., Mioc D., 2014. Spatial access method for urban geospatial database management: An efficient approach of 3D vector data clustering technique. Ninth International Conference on Digital Information Management (ICDIM 2014). IEEE Conference Publications: 92–97. DOI 10.1109/ICDIM.2014.6991400.AzriS.UjangU.RahmanA.A.AntonF.MiocD.2014Spatial access method for urban geospatial database management: An efficient approach of 3D vector data clustering techniqueNinth International Conference on Digital Information Management (ICDIM 2014)IEEE Conference Publications929710.1109/ICDIM.2014.6991400Open DOISearch in Google Scholar
Bielecka E., Burek E., 2019. Spatial data quality and uncertainty publication patterns and trends by bibliometric analysis. Open Geosciences 11(1): 219–235. DOI 10.1515/geo-2019-0018.BieleckaE.BurekE.2019Spatial data quality and uncertainty publication patterns and trends by bibliometric analysisOpen Geosciences11121923510.1515/geo-2019-0018Open DOISearch in Google Scholar
Boella G., Calafiore A., Grassi E., Rapp A., Sanasi L., Schifanella C., 2019. FirstLife: Combining social networking and VGI to create an urban coordination and collaboration platform. IEEE Access 7: 63230–63246. DOI 10.1109/ACCESS.2019.2916578.BoellaG.CalafioreA.GrassiE.RappA.SanasiL.SchifanellaC.2019FirstLife: Combining social networking and VGI to create an urban coordination and collaboration platformIEEE Access7632306324610.1109/ACCESS.2019.2916578Open DOISearch in Google Scholar
Deshmukh R.R., Wangikar V., 2011. Data cleaning: Current approaches and issues. IEEE International Conference on Knowledge Engineering: 61–66.DeshmukhR.R.WangikarV.2011Data cleaning: Current approaches and issuesIEEE International Conference on Knowledge Engineering6166Search in Google Scholar
Eldrandaly K.A., Abdel-Basset M., Shawky L.A., 2019. Internet of spatial things: A new reference model with insight analysis. IEEE Access 7: 19653–19669. DOI 10.1109/ACCESS.2019.2897012.EldrandalyK.A.Abdel-BassetM.ShawkyL.A.2019Internet of spatial things: A new reference model with insight analysisIEEE Access7196531966910.1109/ACCESS.2019.2897012Open DOISearch in Google Scholar
Gaikwad D.B., Wanjari Y.W., Kale K.V., 2014. Disaster management by integration of web services with geospatial data mining. Annual IEEE India Conference (INDICON): 1–6. DOI 10.1109/INDICON.2014.7030685.GaikwadD.B.WanjariY.W.KaleK.V.2014Disaster management by integration of web services with geospatial data miningAnnual IEEE India Conference (INDICON)1610.1109/INDICON.2014.7030685Open DOISearch in Google Scholar
Jakobsson A., 2002. Data quality and quality management –Examples of quality evaluation procedures and quality management in European National Mapping Agencies. Spatial Data Quality. Taylor & Francis, London: 216–229.JakobssonA.2002Data quality and quality management –Examples of quality evaluation procedures and quality management in European National Mapping AgenciesSpatial Data QualityTaylor & FrancisLondon21622910.4324/9780203303245_chapter_FIFTEENSearch in Google Scholar
Keim D.A., 2002. Information visualization and visual data mining. IEEE Transactions on Visualization and Computer Graphics 8(1): 1–8. DOI 10.1109/2945.981847.KeimD.A.2002Information visualization and visual data miningIEEE Transactions on Visualization and Computer Graphics811810.1109/2945.981847Open DOISearch in Google Scholar
Koshley D.K., Halder R., 2015. Data cleaning: An abstraction-based approach. International Conference on Advances in Computing, Communications and Informatics (ICACCI). Kochi: 713–719. DOI 10.1109/ICACCI.2015.7275695.KoshleyD.K.HalderR.2015Data cleaning: An abstraction-based approachInternational Conference on Advances in Computing, Communications and Informatics (ICACCI)Kochi71371910.1109/ICACCI.2015.7275695Open DOISearch in Google Scholar
Kumar V., Khosla C., 2018. Data cleaning-A thorough analysis and survey on unstructured data. 8th International Conference on Cloud Computin. Data Science & Engineering (Confluence). Noida: 305–309. DOI 10.1109/CONFLUENCE.2018.8442950.KumarV.KhoslaC.2018Data cleaning-A thorough analysis and survey on unstructured data8th International Conference on Cloud Computin. Data Science & Engineering (Confluence)Noida30530910.1109/CONFLUENCE.2018.8442950Open DOISearch in Google Scholar
Li J., Chen N., 2014. Geospatial sensor web resource management system for Smart CITY: Design and implementation. 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing: 819–827. DOI 10.1109/CCGrid.2014.70.LiJ.ChenN.2014Geospatial sensor web resource management system for Smart CITY: Design and implementation14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing81982710.1109/CCGrid.2014.70Open DOISearch in Google Scholar
Lim S., 2010. Cleansing noisy city names in spatial data mining. International Conference on Information Science and Applications: 1–8. DOI 10.1109/ICISA.2010.5480390.LimS.2010Cleansing noisy city names in spatial data miningInternational Conference on Information Science and Applications1810.1109/ICISA.2010.5480390Open DOISearch in Google Scholar
Parmar V., Sheoran S., 2021. Context-based spatial metadata cleaning using QGIS. Vidyabharati International Interdisciplinary Research Journal 12(1): 55–62.ParmarV.SheoranS.2021Context-based spatial metadata cleaning using QGISVidyabharati International Interdisciplinary Research Journal1215562Search in Google Scholar
Ridzuan F., Zainon W.M., 2019. A review on data cleansing methods for big data. Procedia Computer Science 161: 731–738. DOI 10.1016/j.procs.2019.11.177.RidzuanF.ZainonW.M.2019A review on data cleansing methods for big dataProcedia Computer Science16173173810.1016/j.procs.2019.11.177Open DOISearch in Google Scholar
Sheoran S.K., Parmar V., 2020. Identification of alternative landfill site using QGIS in a densely populated metropolitan area. Quaestiones Geographicae 39(3): 47–56. DOI 10.2478/quageo-2020-0022.SheoranS.K.ParmarV.2020Identification of alternative landfill site using QGIS in a densely populated metropolitan areaQuaestiones Geographicae393475610.2478/quageo-2020-0022Open DOISearch in Google Scholar
Thiyagalingam J., Getov V., 2006. A metadata extracting tool for software components in grid applications. IEEE John Vincent Atanasoff International Symposium on Modern Computing (JVA’06): 189–196. DOI 10.1109/JVA.2006.3.ThiyagalingamJ.GetovV.2006A metadata extracting tool for software components in grid applicationsIEEE John Vincent Atanasoff International Symposium on Modern Computing (JVA’06)18919610.1109/JVA.2006.3Open DOISearch in Google Scholar
Yoshizumi A., Coffer M.M., Collins E.L., Gaines M.D., Gao X., Jones K., McGregor I.R., McQuillan K.A., Perin V., Tomkins L.M., Worm T., Tateosian L., 2020. A review of geospatial content in IEEE visualization publications. IEEE Visualization Conference (VIS): 51–55. DOI 10.1109/VIS47514.2020.00017.YoshizumiA.CofferM.M.CollinsE.L.GainesM.D.GaoX.JonesK.McGregorI.R.McQuillanK.A.PerinV.TomkinsL.M.WormT.TateosianL.2020A review of geospatial content in IEEE visualization publicationsIEEE Visualization Conference (VIS)515510.1109/VIS47514.2020.00017Open DOISearch in Google Scholar
Zhao P., Zhao Q., Zhang C., Su G., Zhang Q., Rao W., 2019. CLEAN: Frequent pattern-based trajectory spatial-temporal compression on road networks. IEEE International Conference on Mobile Data Management: 605–610. DOI 10.1109/MDM.2019.00127.ZhaoP.ZhaoQ.ZhangC.SuG.ZhangQ.RaoW.2019CLEAN: Frequent pattern-based trajectory spatial-temporal compression on road networksIEEE International Conference on Mobile Data Management60561010.1109/MDM.2019.00127Open DOISearch in Google Scholar
Zhao X., Huang Z., 2010. A quality evaluation approach for OLAP metadata of multidimensional OLAP data. IEEE International Conference on Information Management and Engineering: 357–361. DOI 10.1109/ICIME.2010.5477583.ZhaoX.HuangZ.2010A quality evaluation approach for OLAP metadata of multidimensional OLAP dataIEEE International Conference on Information Management and Engineering35736110.1109/ICIME.2010.5477583Open DOISearch in Google Scholar
Zou T., Li W., Liu P., Su X., Huang H., Han Y., Guo X., 2018. An overview of geospatial information visualization. IEEE International Conference on Progress in Informatics and Computing (PIC). Suzhou. China: 250–254. DOI 10.1109/PIC.2018.8706332.ZouT.LiW.LiuP.SuX.HuangH.HanY.GuoX.2018An overview of geospatial information visualizationIEEE International Conference on Progress in Informatics and Computing (PIC)Suzhou. China25025410.1109/PIC.2018.8706332Open DOISearch in Google Scholar
Zylshal Z., 2020. Topographic correction of LAPAN-A3/LAPAN-IPB multispectral image: A comparison of five different algorithms. Quaestiones Geographicae 39(3): 33–45. DOI 10.2478/quageo-2020-0021.ZylshalZ.2020Topographic correction of LAPAN-A3/LAPAN-IPB multispectral image: A comparison of five different algorithmsQuaestiones Geographicae393334510.2478/quageo-2020-0021Open DOISearch in Google Scholar
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