PyMI - Python Milano: Developing a map-based social media dashboard
Python is the ideal language for geo spatial data science.
In this real-life use case, Dominik presents an open-source full-stack framework empowering non-experts to easily analyze geospatial social media data. Where are the closest volleyball facilities around me? What are the most common activities in city parks? Where are the hippest spots in town?
How many people mention my business? These questions and many more can be answered through a geospatial dashboard. Dominik will present the architecture of his working prototype with a closer look on geospatial full-stack architecture, social media data mining and HyperLogLog as a convenient algorithm for big data.
Curious? Try the demo under https://geo.rocks/lbsndashboard/ or take a look at the demo videos https://github.com/do-me/LBSN-Thesis/...!
Speaker:
Dominik Weckmüller is a GIS engineer and geospatial data scientist.
He studied Geography with a focus on GIS in Heidelberg and Bonn, Germany and works for a Munich-based GIS company (gb consite).
He is into everything related to (spatial) data and writes tutorials about his work on his blog geo.rocks.
Follow him on LinkedIn or Twitter @DomeGIS for frequent updates on geospatial Python, spatial data science and easy-to-grasp GIS tutorials!