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Query languages II: Joining maps and facts
We continue with our discussion of the Overpass and Wikidata API endpoints and look at how the two can interact via common tags/identifiers.
4 days ago5 min read


Query languages I: Two languages for asking
We are taking a look at two open access API endpoints, Overpass and Wikidata SPARQL. The former for street and navigation data, the second to ask nearly any type of information.
7 days ago6 min read


When the city starts moving: transit, flows and GNNs with City2Graph
We take a second look at City2Graph, how it works with GTFS and how we can create new edge types and relationships to work with graphs.
Aug 75 min read


When a map needs edges: getting started with City2Graph
We are taking a look at the City2Graph package. In this part we simply focusing on what type of graphs can be easily created and what one might be able to do with them.
Aug 45 min read


Australia Is on Fire, According to a Satellite with a Clipboard — Part II
We continue the blog on fire incident data and GIS. This time we focus on how to produce different times of prototype plots.
Jun 2610 min read


Australia Is on Fire, According to a Satellite with a Clipboard — Part I
We are looking again at GIS. This time in combination with publicly available NASA FIRMS data. In this first part, we concentrate on getting the data, converting it, and showing the areas we are looking at.
Jun 2310 min read


Working with GIS Data in Python: Part III — When Your Data Is a Grid
In part of the GIS series we take a look at raster data. How to read it, how to clip it, and how to combine it with the vector geometry from the previous posts.
Jun 1910 min read


Working with GIS Data in Python: Part II — Projections, Buffers, and Maps You Can Click On
We continue our series on GIS and look at projections and buffers and why the former is important for the latter. We also take a look at OSMnx and Folium.
Jun 166 min read


Working with GIS Data in Python: Part I — Geometry as Data
We are looking at GeoPandas, one of the most widespread packages for use in GIS data and see a few of its most fundamental features.
Jun 126 min read
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