Ce matin j’étais invité à parler des migrations au salon MILIPOL, qui n’est pas uniquement un endroit où on peut venir s’amuser ‘pour rire’ avec des armes à feu. C’est aussi le terrain de jeu de l’industrie de la surveillance des frontières, et c’est édifiant. 1/..
If the UK built 1 million homes, what would happen to house prices? by @AlastairParvin. Best article on the housing market I have read in a long time. https://t.co/hz7Lr6iNVD
@maartenzam Another option would be gaussian process regression approach with no uncertainty on the points (if observation are accurate). Not very practical with multiple time series though.
So my mom saw that her eggs were missing at work so she posted this note. Later some white dude came to her stressed af for the antidote thinking he was going to die 😭😭😭 ngl this is genius
@CedScherer@OurWorldInData @R4DScommunity @tidypod Cool plot. Note that number of mobile suscriptions is not the same as number of mobile phones. Wording is a bit confusing in the figure.
Alissa Crans recently sent me a postcard featuring this gorgeous image. Can any of you decode it? I see that solid squares correspond to prime numbers. But what explains the color scheme and number of sub-rectangles in the entries for the composite numbers? #overthinking
@karim_douieb @Medor_mag @Belfius 🙌! I really liked this piece, vizs are excellent.A minor hitch on the last one. I didn't really understand the interest of showing a cor that is obviously spurious.I think it brings confusion.Otherwise great🙂! I hope to work on this kind of project one day.Keep up the good work
@kristofvt Great job (especially field delineation)! I just find the water polygons from the street overlay a little confusing because they have the same color as linen. And pieces of cropmap are hiding underneath while they should probably be masked.
With the use of #opendata we've made - together with 60 citizens - a map visualizing the street names of Brussels by gender. Here you can find the final result! https://t.co/h9k8sFXYjT
"We are witnessing an inversion of the axiom 'what gets measured gets done.' We are not measuring the SDG indicators, and this is one of the crucial reasons we are not on track to achieving the SDG targets." -@FAO in @IISD_SDGs#Data4SDGs https://t.co/TwTqrXVdwg