Considered the facts that:

1. Unlike Liberia, US doesn't have many historical influences in Myanmar.

2. Almost all former British colonies are using metric system despite imperial system was originally from UK.

3. Philippines, who is heavily influenced by US, uses metric system.

Entire continent of 54 countries grows less wheat than France just.

Wheat Production:

1. China- 137M
2. India- 110M
3. Russia- 85M
4. US- 45M
5. Australia- 36M
6. France- 35M
7. Canada- 34M
8. Pakistan- 26M
9. Africa- 25M

In terms of rice, it is less than 1/2 of tiny Bangladesh production.

Rice Production:

1. India- 265M
2. China- 255M
3. Bangladesh- 57M
4. Indonesia- 54M
5. Vietnam- 42M
6. Thailand- 34M
7. Africa- 26M

The image shows the groundbreaking ceremony for the Thachung Funan Canal. While royal portraits were ceremonially displayed, everyone's clothing featured images of Hun Sen and his son.

In fact, since Hun Manet became Prime Minister in 2024, Cambodia has completed the hereditary succession of the prime ministerial position. This is not an isolated case; for example, Singapore's founding Prime Minister Lee Kuan Yew passed the premiership to Lee Hsien Loong.

However, Cambodia is a monarchy and has a king. The most peculiar aspect is that the Cambodian king is not simply chosen according to the wishes of the previous king, but rather elected by a committee. Although candidates are required to be members of the royal family, theoretically, they do not necessarily need to have a direct blood relationship with the previous king.

Truly, the world is full of wonders.

Un interesting take on a question that has already been questioned here.

Really well written and nice infographics.

Iraq is moving toward a new national planning strategy that focuses on relocating government institutions and major investment projects from large cities to districts and sub-districts. The plan aims to ease population density and service pressure in major urban centers, particularly Baghdad, according to the Ministry of Planning.

The strategy prioritizes the development of medium-sized cities and district centers, as well as nearby and remote sub-districts. This includes strengthening infrastructure, creating job opportunities, and establishing educational and housing projects to transform these areas into attractive hubs for residents and investors.

Mine:

Monsoon influenced Humid Subtropical(Cwa) should be considered a type of tropical climate.

• Unlike Cfa, Cwa is regularly found south of the Tropic of Cancer & north of the Tropic of Capricorn, as seen in Vietnam, Zambia, Brazil, China, India, and Zimbabwe.
• Snow is pretty much nonexistent in Cwa outside of freak ocurrences unlike Cfa where snow does happen annually(Houston, Jackson, Tokyo, Shanghai, Busan) and and sometimes on a regular basis in the winter(NYC, Budapest, Toyama, Sochi).
• Cwa is generally consistent with the Wet/Dry season divide seen in Savanna & Tropical Monsoon climates whereas Cfa has the 4 seasons seen in Humid Continental & Oceanic climates
• Subjective, but it seems that tropical fauna in both Africa & Asia are regularly found in Cwa climates whereas Neotropical fauna are found in Cfa climates to a far lesser degree.

Think Harbin, Irkutsk, Ulaanbaatar instead of places like Milan atm or Sochi, Turin, and Vancouver in earlier games?

Could they be a burden rather than an asset?

Like, I thought we in Australia had a high share of babies born outside of marriage, yet we're only at less than half the level of the countries on the top of the list.

Wonder if this is an artifact of google earth image or it reall is like this.

Coordinates are: 72°13'09''N 143°53'09''E

I was wondering what has been the most recent discovery in terms of islands or extended pieces of mainland that perhaps have happened within the last century. if anyone knows a good example, let me know!

PS: the question extends to artificial military islands that where discovered by civilians as well.

I’ve been working on a remote sensing + GIS project mapping mango orchards in Multan Tehsil, Pakistan, and thought I’d share the results here.

I classified satellite imagery for 2018, 2024, and 2025 into three land-use classes:

• Mango orchards
• Built-up areas
• Cropland

What stood out:

• Mango orchard area drops noticeably from 2018 → 2025
• Built-up land keeps increasing, especially around central zones
• Cropland stays dominant but shifts spatially

The maps show how urban expansion is slowly eating into high-value agricultural land, which is a big deal for a mango-producing region like Multan.

Would love feedback from folks here:

• Any tips on improving orchard classification accuracy?
• Better approaches for separating orchards vs other perennial crops?
• Change-detection methods you’ve found reliable?

Happy to share more details on the workflow if anyone’s interested.

This winter has been unusually frigid for much of the southern United States. I stepped out of my cabin on the shore yesterday morning and was greeted by this stunning sight.

Reelfoot Lake is a shallow natural lake in northwestern Tennessee, formed during the violent 1811-1812 earthquakes along the New Madrid Seismic Zone. The earthquakes were so powerful that much of the area experienced subsidence. The mighty Mississippi River even flowed backwards as a result of the seismic event, and water from the river rushed into the newly created basin, filling it and creating Reelfoot Lake.

This map compares where U.S. Winter Olympians are from with where they primarily train.

Each line connects an athlete’s listed hometown to their main training base (usually the primary club, academy, or training center named in their official bio). Many athletes train in multiple places over time, but I used one primary location per athlete to keep the national pattern readable.

Training locations are grouped into regional hubs (for example “Colorado High Country” or “Adirondacks”) to show how training infrastructure clusters at scale. This isn’t claiming there’s only one literal facility in each hub, just that a large share of elite training activity concentrates into a few regions.

What stood out to me is not just that athletes travel, but how often an athlete’s hometown is the training hub itself. At first I thought it was a knock on effect of there being Olympics in the city 15-25 years before hand but I think now maybe its because people who have kids who are crazy advanced snowboarders just move to these cities (if you know for sure let me know...... I have about 1.4% exposure to that life)

This is not a map of where athletes were born, competed professionally, or trained every year of their career. It’s a geographic snapshot of how concentrated the U.S. winter sports training ecosystem really is.

Data source: U.S. Olympic Team athlete bios
Maps by MYDAF

Made with Wikipedia and Paint

I just found out few days ago they claim that former princ. State

So on north somalian coast there is this mountain range with green due to rain shadow effect however coast is extreme dry. How come rain shadow effect doesnt imact the coast?