Christoph Traun
University of Salzburg
12 Papers
17 Citations
Christoph Traun is an academic researcher from University of Salzburg. The author has contributed to research in topics: Choropleth map & Body of knowledge. The author has an hindex of 5, co-authored 10 publications.
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Papers
Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)
TL;DR: In this paper, a multi-stage workflow is proposed to reveal and describe patterns and dynamics of urban bicycle crashes on various spatial scale levels and temporal resolutions through a multistage workflow.
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Assessment of Workforce Demands to Shape GIS&T Education
TL;DR: The Body of Knowledge for Geographic Information Science and Technology (GIST) has a lack of competences in programming and application development; and a poor coverage of web-related aspects.
Complexity reduction in choropleth map animations by autocorrelation weighted generalization of time-series data
TL;DR: Choropleth map animation is widely used to show the development of spatial processes over time as discussed by the authors, and although animation congruently depicts change, the rapid succession of complex map scenes easily exce...
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Autocorrelation-Based Regioclassification – a self-calibrating classification approach for choropleth maps explicitly considering spatial autocorrelation
Christoph Traun,Martin Loidl +1 more
TL;DR: The cartographic concept that is presented combines the advantages of traditional classification with those of the proposed method: it allows the visual assignment of individual polygons to mutually exclusive value ranges, while still preserving visual clarity of patterns.
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•Journal Article
Neue Forschungsansätze der Kartographie und ihr Potential für den Unterricht
TL;DR: In this article, the authors stellt die Entwicklung aktueller Forschungsansätze der Kartographie dar and skizziert zwei mögliche schulische Einsatzbereiche: Spatial Citizenship als explizite Vorbereitung für den Alltagseinsatz kartographischer Produkte sowie Spatial Thinking als Unterstützung (natur-) wissenschaftlichen Denkens.
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