Phil Baty and Benjamin Hennig put the rankings results into human and economic perspective

Click image to enlarge
It is clear that the world鈥檚 best universities are overwhelmingly concentrated in the developed world (with most of the top 200 found in North America and Western Europe), but these two heavily distorted world maps are designed to put the results of the 糖心Vlog World University Rankings 2013-2014 into a clearer global context.
The images 鈥 known as gridded cartogram transformations 鈥 look at the top performing universities in relation to the size of each country鈥檚 population (see the top map on the image below) and economic productivity measured by gross domestic product (see the bottom map on the image below).
The maps have been created exclusively for THE by Benjamin Hennig, senior research fellow at the School of Geography and the Environment at the University of Oxford, who says they put the rankings 鈥渋nto the perspective of the human and economic shapes of the world鈥.
Consider the population map. The land area is resized so that each space in the map relates to an equal number of people no matter where you look. Sparsely populated spaces shrink in size, highly populated areas expand, while the underlying grid ensures that the geographic location of each area is preserved. This allows us accurately to map the locations of the top 200 universities into these transformed spaces.
On this map, the pink circles represent THE鈥檚 world-ranked institutions. The largest circles represent universities in the top 25, while the smallest represent those ranked from 151st to 200th.
In the GDP map, the land area is resized so that each space relates to an equal amount of output, so less economically active areas (as measured by GDP, not by people鈥檚 real activity) shrink. Here, the blue circles represent THE鈥檚 world-ranked institutions but according to their overall scores (not their rankings positions, as with the population map). The largest blue circles represent those institutions scoring between 90 and 100 points overall, with the smallest representing those scoring under 50 points.
Hennig says: 鈥淚n the wealthy parts of the world, we see a more even distribution of the top academic institutions, while at the same time the GDP map shows that there are some more clustered patterns even in the 鈥榙eveloped鈥 world when it comes to their locations in relation to economically active spaces.
鈥淗uge global inequality becomes highly visible in these maps, as they do not show land area, but rather where people live and work 鈥 and where they are more excluded from access to 鈥榯op鈥 education, even in the emerging economies and most populated countries of China and India.鈥
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