GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY
Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administration of a smart city. The geo-spatial data requiremen...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W11/11/2018/isprs-archives-XLII-4-W11-11-2018.pdf |
| _version_ | 1818503568833904640 |
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| author | S. Harbola V. Coors |
| author_facet | S. Harbola V. Coors |
| author_sort | S. Harbola |
| collection | DOAJ |
| description | Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administration of a smart city. The geo-spatial data requirements, increasing volumes, varying formats and quality standards, present challenges in managing, storing, visualising and analysing the data. A survey covering GV and VA of the geo-spatial data collected from a smart city helps to portray the potential of such techniques, which is still required. Therefore, this survey presents GV and VA techniques for the geo-spatial urban data represented in terms of location, multi-dimensions including time, and several other attributes. Further, the current study provides a comprehensive review of the existing literature related to GV and VA from cities, highlighting the important open white spots for the cities’ geo-spatial data handling in term of visualisation and analytics. This will aid to get a better insight into the urban system and enable sustainable development of the future cities by improving human interaction with the geo-spatial data. |
| first_indexed | 2024-12-10T21:25:42Z |
| format | Article |
| id | doaj.art-734582afb929474bbcbdcf36c09d8959 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-10T21:25:42Z |
| publishDate | 2018-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-734582afb929474bbcbdcf36c09d89592022-12-22T01:33:00ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-09-01XLII-4-W11111810.5194/isprs-archives-XLII-4-W11-11-2018GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEYS. Harbola0V. Coors1Geoinformatices, Hochschule für Technik Stuttgart, Stuttgart, GermanyGeoinformatices, Hochschule für Technik Stuttgart, Stuttgart, GermanyGeo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administration of a smart city. The geo-spatial data requirements, increasing volumes, varying formats and quality standards, present challenges in managing, storing, visualising and analysing the data. A survey covering GV and VA of the geo-spatial data collected from a smart city helps to portray the potential of such techniques, which is still required. Therefore, this survey presents GV and VA techniques for the geo-spatial urban data represented in terms of location, multi-dimensions including time, and several other attributes. Further, the current study provides a comprehensive review of the existing literature related to GV and VA from cities, highlighting the important open white spots for the cities’ geo-spatial data handling in term of visualisation and analytics. This will aid to get a better insight into the urban system and enable sustainable development of the future cities by improving human interaction with the geo-spatial data.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W11/11/2018/isprs-archives-XLII-4-W11-11-2018.pdf |
| spellingShingle | S. Harbola V. Coors GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY |
| title_full | GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY |
| title_fullStr | GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY |
| title_full_unstemmed | GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY |
| title_short | GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY |
| title_sort | geo visualisation and visual analytics for smart cities a survey |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W11/11/2018/isprs-archives-XLII-4-W11-11-2018.pdf |
| work_keys_str_mv | AT sharbola geovisualisationandvisualanalyticsforsmartcitiesasurvey AT vcoors geovisualisationandvisualanalyticsforsmartcitiesasurvey |