November 2024
Intermediate to advanced
282 pages
7h 44m
French
Content preview from Python pour l'analyse des données géospatiales
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Bibliographie
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- Boeing, Geoff. "OSMnx : Nouvelles méthodes d'acquisition, de construction, d'analyse et de visualisation de réseaux de rues complexes." Ordinateurs, environnement et systèmes urbains 65 (septembre 2017) : 126–139. https://doi.org/10.1016/j.compenvurbsys.2017.05.004.
- Chakraborty, T., & Lee, X. "Un algorithme simplifié d'étendue urbaine pour caractériser les îlots de chaleur urbains de surface à l'échelle mondiale et examiner le contrôle de la végétation sur leur variabilité spatio-temporelle." International Journal of Applied Earth Observation and Geoinformation 74 (février 2019) : 269-280 . https://doi.org/10.1016/j.jag.2018.09.015.
- Goodman, Cooper, Nathanael Rosenheim, Wayne Day, Donghwan Gu, et Jayasaree Korukonda. Workflow de distribution de la population à l'aide de l'API du recensement dans Jupyter Notebook : Carte dynamique des secteurs de recensement dans le comté de Boone, KY, 2000. Juillet 2020. Consortium interuniversitaire pour la recherche politique et sociale . https://doi.org/10.3886/E120382V1.
- Gott, J. Richard III, David M. Goldberg, et Robert J. Vanderbei. "Des cartes plates qui améliorent le tripel de Winkel". Préprint, soumis le 15 février 2021 . https://doi.org/10.48550/arXiv.2102.08176.
- Graser, Anita. "PyQGIS 101 : Chaîner les outils de traitement". Free ...
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