Analysis of Map of UNHCR Registered Refugees by Countries

From the map here, it can see that as the red marks are getting larger, more refugee ratio in the country. This is a map which used Natural Break to classify the data. Looking at the overall trend from the map, refugees are focused in Africa and Europe. By taking a closer look to those area.

From this map, it can tell that more refugees are focused in Middle East area, compare to other areas such as North parts of Africa. Countries with comparatively larger marks are countries that are neighbourhood to the countries that are currently in Civil War. For example Ethiopia and Kenya, these two countries are the neighbour to Somalia, which is a country currently in Civil War. Also, the currently in Syria, the terrorist group ISIL, and the civil war going on in Syria, increased the number of refugees in neighbouring countries, including Iraq, Turkey, Jordan, and especially Lebanon. One of the reason that Lebanon has higher refuge ratio is due to the economy of the country, which is one of the country exports oil.

Below this is the map uses the same data, but it instead of using Natural Break to classify the data, this used Quantile instead.

All the marks are all larger than the previous map, comparing Australia from the previous map. The previous map, the marks are small as ant for Australia, but almost big as Nauru in the previous map, while the data still the same. Take a look at another type of classify the data, Equal Interval.

All the marks on the Equal Interval classified map are all small as ant, even countries such as Kenya and Ethiopia has small marks as country like Australia, where only has 1.51 refugees in per 1,000 inhabitants, while Kenya and Ethiopia has 12.31 and 7.24 refugees in per 1,000 inhabitants. To conclude, depends on the data collected the way of classifying the data influences the trend can be seen. From different way of classifying the data shown, it shows that Natural Break suits the most. Both map by using Equal Interval and Quantile to classify the data, Equal Interval has one huge marks, and other countries has comparatively more number of refugees cannot be seen, because they don't have much as the one country does, while still have more than some particular countries with about the same size of marks. Which causes the map cannot easily determine the trend. It applies to Quantile as well, but the opposite, marks on the map are too big, even countries with low crude refugee inhabitants. Which makes the map shown that many countries have many refugees, while they don't have many of them, and categorise into same range with huge difference in crude refugee inhabitants. Which makes Natural Break suits the most for classifying this set of data into the map. Using Natural Break to classify the data it clearly shows the better difference of crude refugee inhabitants in different level, more classes are shown.