Developing a mobile application for smart real estate information
| dc.contributor.author | Aydinoğlu, Arif Çağdaş | |
| dc.contributor.author | Bovkır, Rabia | |
| dc.date.accessioned | 2025-10-29T12:10:07Z | |
| dc.date.issued | 2020 | |
| dc.department | Gebze Teknik Üniversitesi | |
| dc.description | 5th International Conference on Smart City Applications, SCA 2020 -- Safranbolu -- 167323 | |
| dc.description.abstract | Successful land information management is an important issue for governments in regards to sustainable development. Reliable and comprehensive data about land and all related factors are essential for effective land policies. Various land related legal applications such as planning, taxation, property management, mortgage, and real estate investments require interoperable, extensive and realistic information about the land and real property. GIS provides greater insight into land by its capability to advance geographic analysis in different aspects. The statistical analysis capabilities of GIS increase the efficiency and accuracy of the evaluations related to land and real estate. Along with the developments of information and communication technologies, modern GIS technologies can handle large and complex data. Web-based and mobile GIS technologies provide the capability of operating and sharing local data and provide geographic analysis tools to users via the web. In this way, various mobile GIS applications can be developed in many different application areas. In this study, a mobile application titled as Smart Real Estate was developed for presenting urban real estate characteristics in different thematic groups by analysing data in different formats coming from different sources. © 2021 Elsevier B.V., All rights reserved. | |
| dc.identifier.doi | 10.5194/isprs-archives-XLIV-4-W3-2020-89-2020 | |
| dc.identifier.endpage | 94 | |
| dc.identifier.isbn | 9781629935126 | |
| dc.identifier.isbn | 9781629934297 | |
| dc.identifier.isbn | 9781629935201 | |
| dc.identifier.issn | 1682-1750 | |
| dc.identifier.issue | 4/W3 | |
| dc.identifier.scopus | 2-s2.0-85101919520 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 89 | |
| dc.identifier.uri | https://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-89-2020 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14854/14951 | |
| dc.identifier.volume | 44 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | International Society for Photogrammetry and Remote Sensing | |
| dc.relation.ispartof | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_Scopus_20251020 | |
| dc.subject | Machine Learning | |
| dc.subject | Mobile Application | |
| dc.subject | MobileGIS | |
| dc.subject | Real Estate Valuation | |
| dc.subject | Smart City | |
| dc.title | Developing a mobile application for smart real estate information | |
| dc.type | Conference Object |








