Advanced exploratory analysis in Python using supervised and unsupervised machine learning to understand the dimensions of global disaster risk.
data visualization template for exploring how redlining still has lasting impacts today
Utilize Geoplotlib to create stunning geographical visualizations, identify the different types of geospatial charts, and create complex visualizations using tile providers and custom layers.
Repository for sharing project paper on the relationship between PET and type of land use, clustering geospatial information and visualizing it. The data and indications are kindly offered (and belong to) by Transport Transform. The course is taught by D. Giuliani and M. Napolitano ( @github.com/napo )
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