Summary
Location is an increasingly relevant aspect of software systems as we have more internet connected devices with GPS capabilities. GIS (Geographic Information Systems) are used for processing and analyzing this data, and fortunately Python has a suite of libraries to facilitate these endeavors. This week Sean Gillies, an author and contributor of many of these tools, shares the story of his career and contributions, and the work that he is doing at MapBox.
Brief Introduction
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- Your host as usual is Tobias Macey
- Today I’m interviewing Sean Gillies about writing Geographic Information Systems in Python.
Interview with Sean Gillies
- Introductions
- How did you get introduced to Python?
- Can you start by describing what Geographic Information Systems are and what kinds of projects might take advantage of them?
- How did you first get involved in the area of GIS and location-based computation?
- What was the state of the Python ecosystem like for writing these kinds of applications?
- You have created and contributed to a number of the canonical tools for building GIS systems in Python. Can you list at least some of them and describe how they fit together for different applications?
- What are some of the unique challenges associated with trying to model geographical features in a manner that allows for effective computation?
- How does the complexity of modeling and computation scale with increasing land area?
- Mapping and cartography have an incredibly long history with an ever-evolving set of tools. What does our digital age bring to this time-honored discipline that was previously impossible or impractical?
- To build accurate and effective representations of our physical world there are a number of domains involved, such as geometry and geography. What advice do you have for someone who is interested in getting started in this particular niche?
- What level of expertise would you advise for someone who simply wants to add some location-aware features to their application?
- I know that you joined Mapbox a little while ago. Which parts of their stack are written in Python?
- What are the areas where Python still falls short and which languages or tools do you turn to in those cases?
Keep In Touch
Picks
- Tobias
- Sean
Links
- GDAL
- SWIG
- QGIS
- Shapefiles
- Shapely
- Fiona
- Raster File
- GEOS
- Rasterio
- PostGIS
- RTree
- GeoPandas
- GeoJSON
- Orthorectification
- Mapbox
- SCONS
- Mapnik
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
Activity