#1120: r, refugees, geology, music, computer vision, fragility

Tue, 25 Jun 2019, last check: Tue, 19 Nov 2024. Post history

• A simple example of how to render all city lights of Utrecht using R
  https://gist.github.com/vankesteren/838249095f181f0b70c277a8b2673ec0
• Map of African refugee camps, some of them as big as some European cities
  https://www.infomigrants.net/fr/post/14664/carte-interactive-ou-sont-les-plus-grands-camps-de-refugies-en-afrique | archive.org
• More than 200 geological maps from many different scales and sources, all using a homogeneous database
  https://macrostrat.org/map/#/z=10.1/x=2.3043/y=41.3933/bedrock/lines/fossils/
• Researching Music and Place-Making through Engaged Practice: Becoming a Musicking-Geographer
  https://ubique.americangeo.org/article-preview/geographical-review-preview-researching-music-and-place-making-through-engaged-practice-becoming-a-musicking-geographer/ | archive.org
• Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets
  https://github.com/azavea/raster-vision
• A 2019 map of countries fragility, highlighting the stability of 178 countries
  https://fragilestatesindex.org/

Raf