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Designing Interactive Sound Maps Using Scalable Vector Graphics

Bibliographic Data

ID14701496
AuthorsGlenn Brauen (0000-0003-2047-0176, Carleton University, corresponding author)
Year2006
Volume41
Issue1
Pages59-72
Publication date2006-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/5512-628g-2h57-h675
OpenAlexW2025037771
LanguageEN
Citations received5
References cited17

Geographical research and cartography have, for the most part, neglected sound, even though it is an important part of the environment within which human society exists. This article examines the use of sound in other disciplines, arguing that cartography is unusual in its relatively limited use of sound and examining research indicating that sound has the potential to provide useful options to cartographers in their map designs. The article then presents research carried out using interactive sound as an added dimension of maps designed to be accessible over the World Wide Web. The sounds are conceived as an integral part of the map, augmenting rather than replicating the visual information to provide new insights into the subject matter of the map. The article presents a detailed discussion of the design of a map of results from the Canadian federal election of 28 June 2004, showing a selection of electoral districts in the vicinity of Ottawa, ON. The map, implemented using Scalable Vector Graphics (SVG), JavaScript, and recorded audio files, uses recorded speeches by the leaders of the federal political parties to provide an auditory dimension

Acoustics · Computer graphics (images · Dimension (graph theory · Graphics · JavaScript · Scalable Vector Graphics · Selection (genetic algorithm · Sound (geography · World Wide Web · Animal Vocal Communication and Behavior · Computer Science · Marine animal studies overview · Multisensory perception and integration · Artificial Intelligence

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Unique citing works5
Citations per year0,25
Citation span2006 - 2019 (14)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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