Monitoring #30DayMapChallenge 2022 launched by Topi Tjukanov on Twitter. Trying to engage this wonderful event in a special way.
(image adapted from Topi Tjukanov's)
#30DayMapChallenge related tweets are collected via Twitter REST API with the hashtag #30DayMapChallenge. The example of raw .json data returned via Twitter REST API can be found in .\example folder. This repo only selects several attributes from tweet metadata, including: tweet_id, tweet_text, language, tweet_created_at, retweet, favourite, hashtags, user_id, user_name, user, user_loc, user_follower, friends_count, media and save as .csv file in .\data folder.
Note:
#30DayMapChallengewith media attachments- search tweets by date
- some tweets in certain time zones (such as Pacific Time) might be searched and collected in the 'next' day
There are around 8446 media attachments (i.e., images/gifs/videos) found in #30DayMapChallenge tweets in Nov 2022.
As Topi Tjukanov mentioned in 30DayMapChallenge page, this mapping challenge is NOT a competition. Although this repo sorts maps by their favourite count and retweet count, this repo never intends to compare all the wonderful maps but creates an altas of inspiring maps.
Top favourited tweets refer to the tweets that get many liked/:heart:. The favourite count is extracted from favorite_count value in tweet metadata.
| December 2021 | ||||||
|---|---|---|---|---|---|---|
| Mon | Tue | Wed | Thu | Fri | Sat | Sun |
| 1 Points |
2 Lines |
3 Polygons |
4 Colour Friday: Green |
5 Ukraine |
6 Network |
7 Raster |
| 8 Data: OpenStreetMap |
9 Space |
10 A bad map |
11 Colour Friday: Red |
12 Population |
13 5 minute map |
14 Hexagons |
| 15 Food/drink |
16 Minimal |
17 A map without a computer |
18 Colour Friday: Blue |
19 Globe |
20 My favourite… |
21 Data: Kontur Population Dataset |
| 22 NULL |
23 Movement |
24 Fantasy |
25 Colour Friday: 2 colours |
26 Island(s) |
27 Music |
28 3D |
| 29 Out of my comfort zone |
30 Remix |
Tweets with #30DayMapChallenge hashtag from 2022-11-01 to 2022-11-30 are in 33 languages (Twitter account setting), including es, en, fr, ja, lv, it, nl, cy, in, und, ca, qme, de, fi, et, cs, lt, uk, da, ro, pt, ar, iw, tl, ht, pl, tr, eu, sl, zh, sv, ru, no.
By geocoding users' locations provided in their profile, I plot the map of the distribution of users who involves in this event. Geocoding process is conducted via https://geocode.localfocus.nl/
The map wall includes 109*77 maps. The file can be found in .\static folder. Since the maps were automatically collected from media URLs in tweets' metadata, you may find a few 'noise' or duplicate images.
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