Research / Writing / I program mechanical birds / I collect desserts and plushtoys / I love and I'm loved.
Spanish spoken! Investigo / escribo / programo zorzales mecánicos / colecciono postres y peluches / amo y soy amado.
| Web | http://datagramas.cl |
| Research Areas | Geographical Data Science, Visualization, Computer Graphics |
| Personal Account | @[email protected] |
| Location | Santiago, CL |
#30DayMapChallenge / Music
Where do people listen to music at commuting times? Using mobile phone data, we can observe that mostly when moving in public transportation! This bubble map shows mobile phone towers scattered around the city where Spotify is accessed to.
This is part of a WIP paper where we analyze several signals to infer the mode split (share of usage per mode of transportation) in Chilean cities.
#30DayMapChallenge / Movement: Change in mass transit share from 2012 to 2020 (before covid) in Santiago, Chile.
Public transport share was reduced almost eveywhere, except in areas near new metro/rail infra., as well as municipalities where we hypothesize that remote work has reduced motorized transport (thus increasing mass transit share relatively). We measured this using data fusion of mobile phone data and multiple official sources.
Made with #matplotlib and #geopandas, among other tools.
The Montreal AI Ethics Institute showcased our research on bot influence and political polarization at the bird site, with a case study on Chilean politics in 2020. It has a nice network visualization made with #matplotlib and #graphtool.
🔬 Research Summary by Eduardo Graells-Garrido and Ricardo Baeza-Yates. Eduardo Graells-Garrido is Assistant Professor at the Department of Computer Science in Universidad de Chile. He is interested in…
Interest in Mastodon/Twitter/other platforms according to Wikipedia pageviews:
On Nov. 6, Mastodon had 1.5X the interest (pageviews) of Twitter. It was its first day surpassing the interest on #Birdsite.
#30DayMapChallenge Day 8: OpenStreetMap
These small multiples show the urban infrastructure available in the Santiago Metropolitan Area (Chile), as seen from OSM in 2020.
Made using #Python, #geopandas and #matplotlib. OSM data was processed using the pyrosm library: https://pyrosm.readthedocs.io/en/latest/
This is a figure from a WIP paper where we integrate OSM data with mobile phone traces and official sources 🐦