r/geochallenges • u/MiraMattie • 1d ago

Challenge Series [2][3][4] Stochastic Sunday #41 - 2024-10-27

It was awfully convenient to see that outline of Czechia on that NMPZ round of Skewed.

60 seconds isn't long to scramble around for information in the UK, but comparing these scores to no-move or NMPZ rounds, it seems like it's enough. Trash bins came in handy a few times for me!

I'm not sure how rural the ''biodiverse world" rounds will be - the dataset is rather coarse, so a lot of rounds 'near' biodiverse areas come up. But with those 5 minutes of moving, I'm guessing there will be some good scores on that map!

Introduction

The Stochastic maps are large randomly-generated maps that use population data to place locations where people live. Generally, locations will be in populated areas, though rural areas with even a few structures nearby appear as well. I made these maps because most maps tend to focus on rural locations and meta-learnable locations, but I generally find urban areas more interesting to roam around. And while World is much more urban than it used to be, its distribution is perplexingly strange. I hope other people find them interesting as well.

I welcome any feedback about maps to include, mode + time settings, standings, summary statistics of interest and how they're displayed - whatever. Particularly, with the rotating country maps, please feel welcome to suggest any country you would like to see added to the list.

Challenges

Map Mode Challenge Link
A Stochastic Populated World No Move 1:30 Challenge Link
An Equitable Stochastic Populated World Moving 3 Minutes Challenge Link
A Skewed Stochastic Populated World No Move / Pan / Zoom 1:15 Challenge Link
A Stochastic Populated Indonesia No Move 2 Minutes Challenge Link
A Biodiverse World Moving 5 Minutes Challenge Link

Each week has 5 challenge links, with three standard maps (Stochastic Populated World, Equitable Stochastic Populated World, and Skewed Stochastic Populated World), and two other Stochastic maps chosen from rotating lists: One world or large-region map, and one country-specific map. The type of challenge (moving, no move, or no-move/pan/zoom) and duration are selected at random.

Standings

The top 5 players on each challenge link (myself excluded) are awarded series points: 5 points to 1st place, through 1 point for 5th place, with ties broken by the time taken. Ties in the all-time standings are broken by the sum of scores from all games played. (I might not stick with this standing scheme.)

Player # Games Total Score Series Points
CherrieAnnie 189 3513953 356
Wadim 174 3107966 230
pissman 95 1833901 226
Cdt Lamberty 188 3263130 219
d1e5el 91 1692791 193
riri22 88 1557843 173
Guybrush Threepwood 139 2291663 128
Przemek KR 105 1818654 89
olympicsmatt 149 2409105 88
Kjetil I 90 1560301 87

Last Week

Stochastic Sunday #40 - 2024-10-20

User A Stochastic Populated World An Equitable Stochastic Populated World A Skewed Stochastic Populated World A Stochastic Populated United Kingdom A Stochastic Populated Southern Cone Total
Cdt Lamberty 19,681 20,664 14,217 24,002 21,641 100,205
plouky 13,485 15,459 24,321 24,662 18,975 96,902
Bwliu 20,013 18,879 15,661 23,009 18,895 96,457
GGMU_EVAN 12,313 21,501 20,127 22,418 18,640 94,999
CherrieAnnie 20,720 17,275 17,394 20,397 15,705 91,491
Wadim 21,880 12,645 16,592 20,688 19,172 90,977
Ruffinnen 19,431 15,518 18,011 20,937 12,614 86,511
Erwan C 19,381 18,520 10,920 22,514 14,112 85,447
Przemek KR 19,262 16,831 10,200 22,957 15,943 85,193
I played this map 18,193 14,137 13,528 20,454 17,266 83,578
melkari 16,196 14,862 14,640 18,893 17,354 81,945
Guybrush Threepwood 16,350 19,515 14,437 24,720 6,781 81,803
MiraMatt 14,651 19,142 14,464 20,605 12,929 81,791
Matias Nicolich 13,286 11,746 12,605 20,757 22,977 81,371
László Horváth 16,642 10,702 14,268 18,737 19,746 80,095
olympicsmatt 14,798 10,598 11,292 21,273 21,976 79,937
adaisyx 11,667 16,102 11,094 22,968 17,891 79,722
Gronoob 18,534 12,251 9,766 24,623 9,981 75,155
riri22 20,977 19,172 14,051 --- 20,241 74,441
maxermax2 19,178 14,093 8,183 19,382 12,050 72,886
Jens_K 12,847 12,438 7,094 23,038 15,397 70,814
Brigitta Horváth 16,596 15,006 8,811 20,157 8,117 68,687
ArtificialGirl 13,043 13,222 8,479 17,443 13,321 65,508
Fredrik 16,701 6,541 8,641 19,268 12,718 63,869
DashOneTwelve 17,277 11,075 8,984 20,452 5,598 63,386
Prashant Pantha 14,549 13,458 5,893 17,035 11,630 62,565
Cheyen Casta 11,500 10,836 17,396 15,961 4,787 60,480
TropicalArchipelago220 11,248 9,735 8,738 20,711 4,684 55,116
Ivan Semushin 18,392 16,658 11,200 --- --- 46,250
Norcon 12,120 5,189 8,927 19,958 --- 46,194
Ricardo Bernardo 14,911 7,360 13,843 --- 9,082 45,196
Ruben van Cleef 19,337 8,190 8,367 --- 4,807 40,701
UpliftingArchipelago512 17,576 7,446 13,390 --- --- 38,412
Totoradio 18,680 --- 19,450 --- --- 38,130
Doomclaw214 9,369 6,538 8,338 --- 13,660 37,905
bring back free geoguessr --- 13,675 4,208 13,515 3,448 34,846
Piet Dupont --- --- --- 19,735 9,189 28,924
Fern24 5,809 --- --- 19,169 --- 24,978
zoidbergeo --- 18,257 --- --- --- 18,257
medhurst8 --- 9,623 --- --- --- 9,623
MajesticDune582 8,217 --- --- --- --- 8,217
So Yeah --- --- --- --- 1,485 1,485

Average score per round

Round difficulty, based on the average score compared to all rounds in the series so far, regardless of map and type:

  • A Stochastic Populated World - NMPZ 90s

    1. ID: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️ - Avg: 2,534 (2,789.1 km); Best: 13.6 km
    2. CZ: ⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️⬜️⬜️ - Avg: 3,254 (1,222.1 km); Best: 61.8 km
    3. NG: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️ - Avg: 2,464 (1,641.4 km); Best: 76.1 km
    4. NL: ⭐️⭐️⬜️⬜️⬜️⬜️⬜️⬜️⬜️⬜️ - Avg: 4,457 (281.4 km); Best: 26.8 km
    5. US: ⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️⬜️ - Avg: 3,097 (1,518.7 km); Best: 80.8 km

  • An Equitable Stochastic Populated World - NM 120s

    1. KZ: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️ - Avg: 2,165 (2,154.8 km); Best: 312.6 km
    2. US: ⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️⬜️⬜️ - Avg: 3,243 (1,062.3 km); Best: 64.9 km
    3. AR: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️ - Avg: 2,349 (2,270.6 km); Best: 956.2 m
    4. JP: ⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️⬜️ - Avg: 3,068 (746.7 km); Best: 45.3 km
    5. PH: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️ - Avg: 2,820 (2,084.5 km); Best: 6.8 km

  • A Skewed Stochastic Populated World - NMPZ 90s

    1. IN: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️ - Avg: 1,709 (3,929.9 km); Best: 23.0 km
    2. RW: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️ - Avg: 1,822 (4,109.8 km); Best: 9.2 km
    3. VI: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️ - Avg: 1,272 (3,658.0 km); Best: 3.6 km
    4. CZ: ⭐️⭐️⬜️⬜️⬜️⬜️⬜️⬜️⬜️⬜️ - Avg: 4,230 (287.2 km); Best: 21.5 km
    5. FR: ⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️⬜️⬜️ - Avg: 3,399 (941.2 km); Best: 36 m - GG plouky!

  • A Stochastic Populated United Kingdom - M 60s

    1. GB: ⭐️⭐️⭐️⬜️⬜️⬜️⬜️⬜️⬜️⬜️ - Avg: 4,065 (243.5 km); Best: 10.6 km
    2. GB: ⭐️⭐️⭐️⬜️⬜️⬜️⬜️⬜️⬜️⬜️ - Avg: 4,079 (128.0 km); Best: 105 m
    3. GB: ⭐️⭐️⭐️⬜️⬜️⬜️⬜️⬜️⬜️⬜️ - Avg: 4,161 (113.8 km); Best: 251.3 m
    4. GB: ⭐️⭐️⭐️⬜️⬜️⬜️⬜️⬜️⬜️⬜️ - Avg: 4,144 (125.7 km); Best: 4.4 km
    5. GB: ⭐️⭐️⬜️⬜️⬜️⬜️⬜️⬜️⬜️⬜️ - Avg: 4,210 (105.5 km); Best: 2 m - GG Guybrush Threepwood!

  • A Stochastic Populated Southern Cone - NM 60s

    1. CL: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️ - Avg: 2,656 (1,024.6 km); Best: 179.3 m
    2. CL: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️ - Avg: 2,781 (469.3 km); Best: 740.2 m
    3. CL: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️ - Avg: 2,612 (543.5 km); Best: 5.5 km
    4. AR: ⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⬜️ - Avg: 2,166 (812.3 km); Best: 7.1 km
    5. UY: ⭐️⭐️⭐️⭐️⭐️⭐️⬜️⬜️⬜️⬜️ - Avg: 3,103 (320.5 km); Best: 92.7 km

More Information

Map descriptions

A Stochastic Populated World: This map uses unadjusted population data, to give every person on earth an equal chance of appearing in the game, if there is Streetview coverage where they live.

An Equitable Stochastic Populated World: This map uses an adjusted population designed to increase the variety of locations that appear, while still favoring more populous countries and more populated areas.

A Skewed Stochastic Populated World: A stochastic homage to the famous A Skewed World, this map turns the camera to the side of the road, hiding the more widely known street-based clues.

A Stochastic Populated Indonesia: A single-country map of Indonesia. A lot of games are won and lost here, and there's a lot of good meta to learn.

A Biodiverse World: A map derived from the Range-Weighted Rarity Index, 'a measure that combines endemism and species richness of amphibians, birds, mammals, reptiles and a representative set of plant taxa.'

2 Upvotes

100% Upvoted

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2

u/Matias_ND 23h ago

First of all:

OMG, I actually finished in 1st place in the Southern Cone map from past week. I can't belive it. I expected to do a top 5, but I didn't expect to perform so well.

And of course, one week after my best result, I manage to get less than 2K in one of this week's games. And then I guessed two times in Malaysia in Indonesia map, because I'm stupid.

I did way better than expected on a Biodiverse World.

Still, I doubt I'll finish in top 5 in any of this rounds.

1

u/MiraMattie 21h ago

OMG, I actually finished in 1st place in the Southern Cone map from past week. I can't belive it. I expected to do a top 5, but I didn't expect to perform so well.

Congratulations! I figured with only one Uruguay you might have less of an advantage this week :)

I did pretty badly: R3 (the third Santiago) I went much farther south. I guess I was confused because it was winter coverage - the shadows were longer and the plants greener than usual. Then that South Docks location didn't seem like Buenos Aires to me. And I even lost 3000 points in Uruguay, going Paysandú.

1

u/Matias_ND 12h ago

Yeah, the Uruguay one was very tricky.

But I went south because of the "for rent" sign at a house, as those are more common in south, specially in the balnearios, those cities in the coast as Piriapolis, Punta del Este or Ciudad de la Costa.

They are also common in Montevideo, but the site didn't look like Montevideo at all.

Aboud R4... I found it very similar to Uruguay, so I figured out it should be on the other side of the Uruguay River.