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#day4

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Vesna Manojlović

There must be a German word for feeling simultaneously overwhelmed by options & having huge FOMO about all that I’ve missed already, & will miss again because I can’t be at 3-4 places at the same time!! Specifically about #38C3 but also about life in general… I’m trying to be kind to myself about that… How’s your #Day4 going?

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Erzbet

#KpopAdventCalendar #PopAdventCalendar #kpop #KpopChristmas #KpopHolidays #Day4
Holiday variety show...

I haven't really been watching variety shows, so here's a performance from You Heeyeol's Sketchbook since that show is kinda variety in between music performances...

5 Christmases by Jamie
youtube.com/watch?v=72ONbW5d15

YouTube제이미 - 5가지 Christmas [유희열의 스케치북/You Heeyeol’s Sketchbook] | KBS 201211 방송By KBS Kpop
#Jamie
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BNHR.XYZ :tux: :qgis:

...
3. Generate centroids from the output of #2 (either using the Centroids algorithm or Geometry generators).
4. To speed up and automate the process, I created a model that runs steps 1-3 above.
5. Style the output of 3 using: marker = hexagon, size = depends on population, color = depends on hazard level (Var). Utilize data-defined overrides/Assistant.

A map of the province of Cebu in the Philippines composed of hexagons of different sizes and colors. The sizes indicate the population and the colors, ranging from light yellow to red, indicate the flood hazard level.
#30DayMapChallenge#30DayMapChallenge2024#Day4
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BNHR.XYZ :tux: :qgis:

PROCESS
1. Use the "Sort" algorithm to create an ordered version of the flood hazard layer such that the features with high hazard level (3) will always be the first feature that will be matched in #2 below.
2. Run a "Join attributes by Location" between the population hex grid layer and the sorted/ordered flood hazard layer (output of #1).
...

A map of the province of Albay in the Philippines composed of hexagons of different sizes and colors. The sizes indicate the population and the colors, ranging from light yellow to red, indicate the flood hazard level.
#30DayMapChallenge#30DayMapChallenge2024#Day4
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BNHR.XYZ :tux: :qgis:

30 DAY MAP CHALLENGE 2024 | DAY 4 - HEXAGONS

Population ⬡ Flood Hazard
- larger hexagon = more people in the area
- redder color = higher hazard level

DATA
> Population density for 400m H3 Hexagons [Kontur] - data.humdata.org/dataset/kontu
> Flood hazard (100-year rain return) [UPRI/Project NOAH] - drive.google.com/drive/folders

A map of the National Capital Region in the Philippines composed of hexagons of different sizes and colors. The sizes indicate the population and the colors, ranging from light yellow to red, indicate the flood hazard level.
#30DayMapChallenge#30DayMapChallenge2024#Day4
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HeiGIT

#30DayMapChallenge #day4:

🏫 Lessons in Traffic 🏫

This map shows how rush hour travel times to Nairobi’s Central Business District (CBD) change when the school starts: brown hexagons show higher travel time increases.

The map was created with #openrouteservice using #UberMovement open data.

This is part of a study by Charles Hatfield, Marcel Reinmuth et al that shows how school commutes shape urban traffic patterns and impact access across Nairobi.

🔗 Paper: tinyurl.com/lessons-in-traffic

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