2017 IEEE Pacific Visualization Symposium (PacificVis) 2017
DOI: 10.1109/pacificvis.2017.8031582
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Designing interactive distance cartograms to support urban travelers

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Cited by 12 publications
(6 citation statements)
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“…The Around Campus Guide feature ensures smooth navigation to essential amenities surrounding the campus, including healthcare services, transportation hubs, stations, restaurants, and more. Powered by Leaflet JS and OpenStreetMap for the base map, with Leaflet Routing Machine for efficient routing [8], the feature ensures users can easily access vital services and locations in the vicinity of the campus. On selecting each category, it displays the list of items in each category as shown in Fig.…”
Section: Around Campus Guidementioning
confidence: 99%
“…The Around Campus Guide feature ensures smooth navigation to essential amenities surrounding the campus, including healthcare services, transportation hubs, stations, restaurants, and more. Powered by Leaflet JS and OpenStreetMap for the base map, with Leaflet Routing Machine for efficient routing [8], the feature ensures users can easily access vital services and locations in the vicinity of the campus. On selecting each category, it displays the list of items in each category as shown in Fig.…”
Section: Around Campus Guidementioning
confidence: 99%
“…Many representations of this type were introduced during the plastic spaces period in the history of geography [39] (p. 90), in reference to the expression proposed by Forer [4] to describe a geography freed from cartographic conventions. Since this very active period, regularly new implementations emerge [40][41][42][43]. Cartographic representations attached to this movement are of the type of the anamorphic cartography [33,44].…”
Section: Cartographic Representations Of Geographical Time-spacementioning
confidence: 99%
“…We set the bounding box based on where study participants were residing at the time of the study, as presenting restaurants that the participants can try increases ecological validity. Also, we chose five decision-criteria types for our C-DQ module that are widely used in travel decision-making [13,15,21]. Four of these criteria rely on quantitative scales: (1) average review ratings, (2) the number of user ratings contributed (as a measure of overall popularity), (3) travel time, and (4) distance to restaurants.…”
Section: Apparatusmentioning
confidence: 99%