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Following that is @tadusko presenting his work on the rise and fall of Flickr and use of its data in #GIScience at the #LBS2025 conference.

Key takeaway is that #Flickr is highly biased data produced in the Global North by a select few highly active users, but widely used in research because it is the only major social media platform that still allows data collection using its API. The question remains whether the data should be used.

Brilliant work all in all!

A quick illustrative #map on the implications of using different types of centroids in regional #demography #mobility and #migration studies.

Think about what you are emphasizing.

By using population-weighted centroids, you can emphasize the population perspective in the analysis instead of the geometry, potentially improving your analysis considerably. The distance difference is stronger in sparsely populated and remote regions.

I have struggled with many IDEs with their lack of good integration of interactive #Python.

VSCode and its derivatives are nice, but they do not play ball with my workflow. I can get what I want to work only partially, and it is much slower than my current workflow. Running one line at a time in an interactive window is excruciating.

Isn't it common in #DataScience and #GIScience to have an interactive workflow with a lot of back and forth reiterations with multiple line executions?