Références

Almende BV & Thieurmel B (2025) visNetwork: Network Visualization using ’vis.js’ Library.

Barabási A-L (2016) Network science. Cambridge University Press.

Barbosa-Filho H, Barthelemy M, Ghoshal G et al. (2018) Human mobility: Models and applications. Physics Reports 734, 1–74.

Barthelemy M (2011) Spatial networks. Physics Reports 499, 1–101.

Barthelemy M (2023) Le monde des réseaux. Odile Jacob.

Chang W, Cheng J, Allaire J et al. (2025) Shiny: Web application framework for R.

Csárdi G, Nepusz T, Traag V et al. (2025) igraph: Network analysis and visualization in r.

Denelle P, Leroy B & Lenormand M (2025) Bioregionalization analyses with the bioregion R package. Methods in Ecology and Evolution 16, 496–506.

Giraud T & Pecout H (2025) Géomatique et cartographie avec R. Zenodo.

Lenormand M (2023) TDLM: An R package for a systematic comparison of trip distribution laws and models. Journal of Open Source Software 8, 5434.

Lenormand M, Bassolas A & Ramasco JJ (2016) Systematic comparison of trip distribution laws and models. Journal of Transport Geography 51, 158–169.

Lenormand M, Papuga G, Argagnon O et al. (2019) Biogeographical network analysis of plant species distribution in the Mediterranean region. Ecology and Evolution 9, 237–250.

Padgham, M. (2019) dodgr: An R package for network flow aggregation. Transport Findings.

Pebesma E & Bivand R (2023) Spatial Data Science: With applications in R. Chapman and Hall/CRC.

Posit team (2025) RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA.

R Core Team (2021) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.

Wickham H (2016) ggplot2: Elegant graphics for data analysis. Springer-Verlag New York.