Visualization of geospatial data in Python using GeoPandas and Bokeh libraries. Which mountain ranges are the most dangerous in France for hikers and alpinists? This was my main question, because I recently moved to Grenoble which is basically french hiking paradise.
Which mountain ranges are the most dangerous in France for hikers and alpinists? This was my main question, because I recently moved to Grenoble which is basically french hiking paradise.
Unfortunately, only regional data I have found about mountain accidents where yearly**avalanche accidents from reports of _[_ANENA](https://www.anena.org/5041-bilan-des-accidents.htm#par42276) (organization for study of snow and avalanches in France) **divided by communes (small administrative units in France). This was the second best thing to mountain accidents grouped by mountain ranges, which I was unable to find, so as in poker or tetris I played the hand I was dealt and searched for shapefile of communes in France(luckily, official sources of french gouvernment did not let me down). These were only two pieces for my visualization “puzzle” I needed to start coding in Jupyter Notebook to create interactive map of avalanche accidents in France in last 10 years.
All files with source data and code in Jupyter notebook can be found in my GitHub repo Avalanche danger in France.
Assuming you have already standard Python libraries like Pandas and Numpy installed, for handling geospatial data and shapefiles I needed to add GeoPandas and Bokeh.
Preview of final visualization depicting in colors commune with 1 - 30 avalanches in last 10 years in France and communes with no avalanches in grey
Rodrigo Senra - Jupyter Notebooks - Olá pessoal e sejam bem-vindos à mais um episódio do Castálio Podcast! Nosso convidado de hoje é diretor técnico na Work & Co, PhD em Ciências da Computação, já contribuiu com inúmeros projetos open source em Python, ajudou a fundar a Associação Python Brasil e já foi premiado com o Prêmio …
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