Analysis and Comparison of Feature-Based Patterns in Urban Street Networks-Reference-Cited by-同舟云学术

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Analysis and Comparison of Feature-Based Patterns in Urban Street Networks

Published:2017 Issue: Volume: Page:287-309
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Shao Lin,Mittelstädt Sebastian,Goldblatt Ran,Omer Itzhak,Bak Peter,Schreck Tobias

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-64870-5_14

Reference43 articles.

1. Andrienko, G., Andrienko, N., Bak, P., Keim, D., Wrobel, S.: Visual Analytics of Movement. Springer Publishing Company, Heidelberg (2013)

2. Andrienko, G., Andrienko, N., Bremm, S., Schreck, T., von Landesberger, T., Bak, P., Keim, D.: Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns. Wiley-Blackwell Comput. Graph. Forum 29(3), 913–922 (2010)

3. Bak, P., Omer, I., Schreck, T.: Visual analytics of urban environments using high-resolution geographic data. In: Painho, M., Santos, M., Pundt, H. (eds) Geospatial Thinking. LNGC, pp. 25–42. Springer, Heidelberg (2010). doi: 10.1007/978-3-642-12326-9_2

4. Barten, P.G.: Contrast Sensitivity of the Human Eye and its Effects on Image Quality, vol. 72. SPIE Press, Bellingham (1999)

5. Brehmer, M., Munzner, T.: A multi-level typology of abstract visualization tasks. IEEE Trans. Vis. Comput. Graph. 19(12), 2376–2385 (2013)

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