Data analytics on maps (web application for interactive map exploration)
Social media information packets like Twitter Tweets and Instagram photos are able to be geo-mapped through their respective geographical metadata. This allows us to view at a glance on a mapping platform like Google Maps the concen tration and specific information being talked about on social media...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/74084 |
| _version_ | 1824455208116158464 |
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| author | Koh, Matthew Joon Min |
| author2 | Cong Gao |
| author_facet | Cong Gao Koh, Matthew Joon Min |
| author_sort | Koh, Matthew Joon Min |
| collection | NTU |
| description | Social media information packets like Twitter Tweets and Instagram photos are able to be geo-mapped through their respective geographical metadata. This allows us to view at a glance on a mapping platform like Google Maps the concen tration and specific information being talked about on social media at a glance. However, due to the exponential influx of different types of informative data, traditional forms of displaying such data in a finite location space can lead to over-clutter and overlapping information. Over-clutter makes it extremely hard to interpret the data in the map space. Hence, Geo-spatial elements have to be properly arranged and filtered to be able to retrieve any meaningful information. This project aims to develop a functional system to extract a representative
set of data via algorithmic processing and display the result to the end user. Such a process has to be consistent with the motivations and guidelines to ensure that objects are distinguishable and spaced apart at a reasonable distance to reduce the overall clutter. The algorithm has to efficiently operate on large enough sets of data to achieve a more accurate result. We will tackle the problem of efficient selection of data points in a large data-set with inputs and parameters set by the user to display the updated result in real-time. |
| first_indexed | 2025-02-19T03:34:33Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/74084 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:34:33Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/740842023-03-03T20:49:45Z Data analytics on maps (web application for interactive map exploration) Koh, Matthew Joon Min Cong Gao School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Social media information packets like Twitter Tweets and Instagram photos are able to be geo-mapped through their respective geographical metadata. This allows us to view at a glance on a mapping platform like Google Maps the concen tration and specific information being talked about on social media at a glance. However, due to the exponential influx of different types of informative data, traditional forms of displaying such data in a finite location space can lead to over-clutter and overlapping information. Over-clutter makes it extremely hard to interpret the data in the map space. Hence, Geo-spatial elements have to be properly arranged and filtered to be able to retrieve any meaningful information. This project aims to develop a functional system to extract a representative set of data via algorithmic processing and display the result to the end user. Such a process has to be consistent with the motivations and guidelines to ensure that objects are distinguishable and spaced apart at a reasonable distance to reduce the overall clutter. The algorithm has to efficiently operate on large enough sets of data to achieve a more accurate result. We will tackle the problem of efficient selection of data points in a large data-set with inputs and parameters set by the user to display the updated result in real-time. Bachelor of Engineering (Computer Engineering) 2018-04-24T05:52:18Z 2018-04-24T05:52:18Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74084 en Nanyang Technological University 56 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Koh, Matthew Joon Min Data analytics on maps (web application for interactive map exploration) |
| title | Data analytics on maps (web application for interactive map exploration) |
| title_full | Data analytics on maps (web application for interactive map exploration) |
| title_fullStr | Data analytics on maps (web application for interactive map exploration) |
| title_full_unstemmed | Data analytics on maps (web application for interactive map exploration) |
| title_short | Data analytics on maps (web application for interactive map exploration) |
| title_sort | data analytics on maps web application for interactive map exploration |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/74084 |
| work_keys_str_mv | AT kohmatthewjoonmin dataanalyticsonmapswebapplicationforinteractivemapexploration |