Utas Twitter which explains population density worldwide with the help of data visualization is to get the attraction between users. Posted by Urban Team Twitter users, this shows which part of the planet has the highest population concentration and where he rarely population. This utas is based on an analysis conducted by Alasdair Rae, a researcher and an expert on data analysis. According to Mr Rae, this analysis is based on data on the Global Human Settlement of the European Union that is freely available.
Data shows the spread of population throughout the continent. In the United States, East and Southeast are densely populated than other countries. New Jersey has the highest population density in the US, while Wyoming, Montana, North Dakota and South Dakota have the lowest population spread.
In the case of India, the Indo-Gangetik plain is one of the most dense areas on earth, further population density data shows. The stem that represents the number of people living in one square kilometer is placed very close to each other in this section, while the extreme north is rarely in population.
Utas further shows that Southeast Asia has the most crowded cities, the prominent among them is the capital of Indonesia Jakarta which is on the track to bring down Tokyo as the most populous city in the world in 2030. He said that with a population of 143 million, Java in the world in 2030. is the most populous island on earth.
Indian neighbor Bangladesh is one of the most densely populated countries on this planet, according to the Utas Twitter and in China, almost everyone is in the southeast.
Europe and Australia are the most dense continent, with one of the tweets in the utas that shows very little stem graphics in Iceland.
The post led to a big discussion on Twitter, where billionaire Elon Musk also participated. “The earth is basically empty of humans,” he said when responding to the current virus thread.
Humans consume natural resources are much faster than the earth can be refilled. The species will become extinct 1000x faster than the natural background level, “said Environmental Lover Leilani Munter.
The amount of crime where Twitter’s utas became the basis, initially carried out by Mr. Rae in 2020. He had explained that the map used 1 km x 1 km data and the height of the trunk represented the number of people living in one box.