Deeper, Broader, Faster, Stronger: Expanding into new dimensions with spatiotemporal data
Spatial data that changes over time presents difficulties because of the cost, time, and complexity to process and analyze at scale. But this data holds valuable, latent and undiscovered insights that can make your analysis deeper (historically), broader (spatially), faster (analytically), and stronger! Join us for a fun and interactive session with Josh and Robert, senior data scientists who specialise in working with global-scale, spatiotemporal datasets. In this session, you'll use CARTO, Python and other familiar technologies to explore and overcome some of the most complex and challenging examples of geospatial analysis, get a glimpse into the future of geospatial data science and pocket some actionable takeaways.
- Presentation website - https://sdsc-2023-workshop-nyc.ds.generalsystem.com/
The analysis for the workshop is located in the notebooks
directory.
docker compose up jupyter
pip install -r requirements.txt
jupyter lab
The presentation is publicly available at https://sdsc-2023-workshop-nyc.ds.generalsystem.com/ but can be viewed locally by running the Docker container.
docker compose up presentation