Exploring Canadian Geospatial Data with GeoPandas in Colab Notebooks
DOI :
https://doi.org/10.15353/acmla.n173.5671Mots-clés :
Google Colab, Python, GeoPandas, Open Source, Statistics Canada, CartographyRésumé
Google Colab with the GeoPandas Python package is an effective platform for GIS analysis. Following a tutorial prepared by the author, this review discusses how users can load, project, query and visualize GIS data through graphs and maps. Future directions of where this platform could be taken are also discussed. Lastly, the benefits and drawbacks of GIS analysis with Google Colab are presented.
Références
Arribas-Bel, D., Knaap, E., Barcelos, G., Shao, H., Gaboardi, J., Sauer, J., et al. (2020). PySAL. https://pysal.org/
Google. (n. d.). Welcome to Colaboratory - Colaboratory. https://colab.research.google.com/notebooks/intro.ipynb
Ontario Council of University Libraries (n. d.). Scholars GeoPortal. geo.scholarsportal.info
Rogerson, P. A. (2021). Spatial Statistical Methods for Geography. London: Sage.
RStudio Team. (2020). RStudio: Integrated development for R. Boston: RStudio, Inc. http://www.rstudio.com/.
University of Toronto (2010). Computing in the Humanities and Social Sciences. http://chass.toronto.edu/facilities/
Van den Bossche, J., Fleischmann, M., McBride, J., Ward, B., Wolf, L., & Richards, M. (2022). GeoPandas 0.dev+untagged. https://geopandas.org/en/stable/index.html
Van den Bossche, J., Jordahl, K., Fleischmann, M., McBride, J., Wasserman, J., Richards, M., et al. (2023, June 6). geopandas/geopandas: v0.13.2 (Version v0.13.2). Zenodo. http://doi.org/10.5281/zenodo.3946761
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© Christopher Hewitt 2024
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