Data analytics on maps
With the increasing usage of location-based services on mobile devices, a large volume of geospatial data is being generated daily. The mobile user faces the difficulty in viewing data of interest which meet user’s needs. This situation highlighted the importance of data management and presentation...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/76126 |
| _version_ | 1824456812965920768 |
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| author | Boey, Jackson Ming Hui |
| author2 | Cong Gao |
| author_facet | Cong Gao Boey, Jackson Ming Hui |
| author_sort | Boey, Jackson Ming Hui |
| collection | NTU |
| description | With the increasing usage of location-based services on mobile devices, a large volume of geospatial data is being generated daily. The mobile user faces the difficulty in viewing data of interest which meet user’s needs. This situation highlighted the importance of data management and presentation into useful insights for applications. The project aims to improve map rendering and exploration system with a representative set of data which cater to the user’s interest. The objective of this project is to sample, analyse, extract and present a representative dataset that caters to user’s interest in an efficient way. In this project, three different algorithms; random selection, naive selection, and lazy forward selection algorithm would demonstrate progressive improvement in sampling method for an informative representative dataset. In additional, zoom in/ out and panning constraint would be satisfied to ensure a smooth interactive map experience. The four main areas mainly language component, indexing component, query processing component and visualization component would be served as guidelines in this project. With the improvement on the data management and presentation, this project could be used as a supporting tool to build a better user-centric application for any industry. |
| first_indexed | 2025-02-19T04:00:03Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/76126 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T04:00:03Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/761262023-03-03T20:52:25Z Data analytics on maps Boey, Jackson Ming Hui Cong Gao School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering With the increasing usage of location-based services on mobile devices, a large volume of geospatial data is being generated daily. The mobile user faces the difficulty in viewing data of interest which meet user’s needs. This situation highlighted the importance of data management and presentation into useful insights for applications. The project aims to improve map rendering and exploration system with a representative set of data which cater to the user’s interest. The objective of this project is to sample, analyse, extract and present a representative dataset that caters to user’s interest in an efficient way. In this project, three different algorithms; random selection, naive selection, and lazy forward selection algorithm would demonstrate progressive improvement in sampling method for an informative representative dataset. In additional, zoom in/ out and panning constraint would be satisfied to ensure a smooth interactive map experience. The four main areas mainly language component, indexing component, query processing component and visualization component would be served as guidelines in this project. With the improvement on the data management and presentation, this project could be used as a supporting tool to build a better user-centric application for any industry. Bachelor of Engineering (Computer Science) 2018-11-18T14:27:46Z 2018-11-18T14:27:46Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/76126 en Nanyang Technological University 40 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Boey, Jackson Ming Hui Data analytics on maps |
| title | Data analytics on maps |
| title_full | Data analytics on maps |
| title_fullStr | Data analytics on maps |
| title_full_unstemmed | Data analytics on maps |
| title_short | Data analytics on maps |
| title_sort | data analytics on maps |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/76126 |
| work_keys_str_mv | AT boeyjacksonminghui dataanalyticsonmaps |