Geospatial Analysis Using Python and JupyterHub

Explore geospatial data processing and visualization techniques in this EuroPython 2019 conference talk. Dive into the world of spatial analysis using Python and JupyterHub, learning how to handle vector and raster data efficiently. Discover various Python modules for low- and high-level geospatial data manipulation, and gain insights into leveraging deep learning frameworks for raster analysis on high-performance GPUs. Cover topics such as coordinate reference systems, spatial queries, polygon operations, and data visualization using libraries like Shapely, pandas, and GeoPandas. Understand how to work with GeoJSON, process earthquake data, create histograms, and generate multiple plots. Gain practical knowledge on utilizing powerful hardware setups for processing large-scale spatial datasets.

Intro
Hardware
Geodata
Libraries
Volume
Vector Data
GeoJson
Coordinate Reference Systems
Shapley
pandas
geometry
queries
spatial queries
polygon queries
earthquake data
histogram
timezone
multiple plots