Interesting mapping technologies can be found here . Smart waysto map complex data-sets into geographic representations illustrated in the following two examples:
- future global polution in 2300:
By 2300 the United Nations forecasts that the global population will be just under 9 billion. World population is expected to rise, peak and then decline slightly between 2050 and 2300. The highest long term population growth is predicted for Africa. Africa is currently underpopulated and has the lowest life expectancies. Other regions' populations are predicted to stay level or decline. Between 2050 and 2300 the areas currently known as India, China, the United States and Pakistan maintain their ranked order as having the world's highest populations. The numbers shown here are estimates - based on predicted future behaviours.
- current royalites and licence fee export :
Only 18 (out of 200) territories are net exporters of license fees and royalties. This means that a few people living in less than a tenth of the territories in the world between them receive the US$30 billion of net export earnings for these services.
The International Monetary Fund explained that royalties and license fees include "international payments and receipts for the authorised use of intangible, non-produced, non-financial assets and proprietary rights ... and with the use, through licensing agreements, of produced originals or prototypes ...". Thus these export earnings are payments for past ideas.
[Source B Giussani]
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