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Monday, 13 January 2014


start my new semester today..and, the lecturer of GeoVisualization course asks us to watch the video presenting the world statistics.. he told us that this might be very helpful for our study as it show how the big data is represented in a great animated graphic rather than boring static's the video:

the speaker emphasize on how to maximize the use of publicly funded data so that the data can be represented better..people can search for the data, use it and animate it for others to the access it.. rather than restricted the access, for example by putting password, which in the end, boring statistics are shown, it's better to make it open source, and allow people to manipulate it..

simple basic data, can be expanded to many uses..we can understand more, just with one basic statistics.. the speaker asked his Swedish undergrads students of Global Health on the mortality rate of countries..he thought that the best Swedish students would got it all correct..almost all got correct, with high confidence interval..but, when he compared it with the chimpanzees choice of banana, the students are dumber than the chimpanzees..and, he tested the same questions to the professors, which he got high confidence interval rather than students but at the same par with the chimpanzees..this show how the simple data, just the answer to questions, lead to bigger statistics observations..

the world is moving..everyone know it..we're divided into two..still, till now..the western, and third do we define both? apparently, Western world is where the lives per person is low with long live while Third World is where lives per person is high with low live rate..the statistics graphed and the results are not surprising where the developing countries are all fall in the Third World..however, that is the statistics for 1962..revolution takes place where developing countries all move towards better place..China for example, lower their family sizes which lead to the increasing of mortality..same goes for Bangladesh, Indonesia, etc..nowadays, the world are getting better as many countries moved towards the high mortality..and, people start looking at Asian social movement before the economic as many start become a better place to be..

how about the income and GDP?? do the income level links with child survivor? apparently, yes..before that, let's first review the income per region..where do Asia stayed? Africa are mostly in the poverty state while OECD are in the rich..Asia, are the world's most problem actually..during 1970, most Asian were in poverty state..but, as the countries moved, they were out of poverty on 2000 but still, some were in..but, World bank predicted that, on 2015, Asian countries are all will be on the middle class..

Countries with higher GDP do have higher child doubt..even if the countries are neighbors, if the income are different, the child survivor will also Asia, Cambodia and Singapore separated by a huge gap..Cambodia, low GDP, got low child survivors..while in Singapore, the high GDP country, they got almost 100% child survivors..the revolution also interesting as many countries start to focus on improving health rather than UAE..they start with high GDP already with their oil, then, they improve their education, etc to make the child survivor better..most countries moving with both health and wealth like what South Korea and Brazil did..

In the end, how can this big data be used to improve the world? Data exist, not just for a show or a GIS student, I can't help myself but to analyze or use it for other purposes rather than look at the static data..I can't help to think how can I use the data to improve this world?? For example, I've got road network can I use it not for navigation only? I can measure the traffic flow so that people can choose alternative road for navigation.. I can measure the noise, air pollution so that planners can do a better job next time..and much more application to make the world a better place..however, we can't rely on the average data is dangerous to focus on average data as described previously how the world differ on each other..that's why, to mitigate AIDS for example for African countries, we can't use same method as OECD used..

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