Uncertainty visualization of multi-providers cartographic integration

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Berjawi, Bilal, et al. “Uncertainty Visualization of Multi-Providers Cartographic Integration”. Journal of Visual Languages &Amp; Computing, vol. 25, no. 6, 2014, pp. 995-1002, https://doi.org/10.1016/j.jvlc.2014.10.033.
Berjawi, B., Duchateau, F., Chesneau, Élisabeth, Favetta, F., Seccia, G., Cunty, C., Miquel, M., & Laurini, R. (2014). Uncertainty visualization of multi-providers cartographic integration. Journal of Visual Languages &Amp; Computing, 25(6), 995-1002. https://doi.org/10.1016/j.jvlc.2014.10.033
Berjawi, Bilal, Fabien Duchateau, Élisabeth Chesneau, Franck Favetta, Geoffrey Seccia, Claire Cunty, Maryvonne Miquel, and Robert Laurini. “Uncertainty Visualization of Multi-Providers Cartographic Integration”. Journal of Visual Languages &Amp; Computing 25, no. 6 (2014): 995-1002. https://doi.org/10.1016/j.jvlc.2014.10.033.
Berjawi B, Duchateau F, Chesneau Élisabeth, Favetta F, Seccia G, Cunty C, et al. Uncertainty visualization of multi-providers cartographic integration. Journal of Visual Languages & Computing. 2014;25(6):995-1002.
Refrences
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Citations
Title Journal Journal Categories Citations Publication Date
Conflating point of interest (POI) data: A systematic review of matching methods Computers, Environment and Urban Systems
  • Geography. Anthropology. Recreation: Environmental sciences
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  • Geography. Anthropology. Recreation: Human ecology. Anthropogeography: Settlements: Cities. Urban geography
  • Social Sciences: Communities. Classes. Races: Urban groups. The city. Urban sociology
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Intuitiveness of geospatial uncertainty visualizations: a user study on point symbols

Geografie 4 2019
Citations Analysis
The category Geography. Anthropology. Recreation: Environmental sciences 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Intuitiveness of geospatial uncertainty visualizations: a user study on point symbols and was published in 2019. The most recent citation comes from a 2023 study titled Conflating point of interest (POI) data: A systematic review of matching methods. This article reached its peak citation in 2023, with 1 citations. It has been cited in 2 different journals. Among related journals, the Computers, Environment and Urban Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year