Publicação
Visualizing the vertical context of geographic locations
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Degbelo, Auriol | |
| dc.contributor.advisor | Painho, Marco Octávio Trindade | |
| dc.contributor.advisor | Oliver, Sergi Trilles | |
| dc.contributor.author | Liyanage, Prasad Madushanka Dauglas Dambure | |
| dc.date.accessioned | 2024-04-09T17:01:30Z | |
| dc.date.available | 2024-04-09T17:01:30Z | |
| dc.date.issued | 2024-02-01 | |
| dc.description | Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies | pt_PT |
| dc.description.abstract | This study addresses the challenge of visualizing the vertical context of geographic locations by creating a web application with innovative visualization techniques. It explores three different visualization techniques to present comprehensive information about geographic locations, covering attributes like administrative, political, geography, weather, and air quality data from two sources: "DBpedia" and "Umweltbundesamt". The visualization techniques used include categorization + scrolling, categorization + semantic panning, and categorization + semantic zooming. A prototype of the web application was developed to showcase these visualization techniques with two datasets. An evaluation was conducted through a user experiment involving 18 participants divided into six groups. One group interacted with three visualization techniques across one dataset and three tasks. The efficiency of visualization techniques was assessed automatically through a LimeSurvey questionnaire, while effectiveness was gauged by evaluating the accuracy of user responses to questions. Users also provided ratings for enjoyment, usefulness, satisfaction, and ease of use in relation to the visualization techniques. All the gathered data was subsequently subjected to pairwise comparison statistically to identify the statistical advantage using the "bootES" R package. The findings highlight the strengths and weaknesses of different visualization approaches and best visualization technique among three visualization techniques. Key features for effective visualization approach identified include grouping attributes into main categories and subcategories, arranging similar attributes in close proximity as clusters, and utilizing zooming effects with smooth transitions between attributes. | pt_PT |
| dc.identifier.tid | 203572114 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/165996 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Vertical context of geographic locations | pt_PT |
| dc.subject | Visualization approaches | pt_PT |
| dc.subject | Categorization | pt_PT |
| dc.subject | Scrolling | pt_PT |
| dc.subject | Semantic panning | pt_PT |
| dc.subject | Semantic zooming | pt_PT |
| dc.title | Visualizing the vertical context of geographic locations | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Tecnologias Geoespaciais | pt_PT |