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Compare The Distribution Patterns Of South America

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Examine your map. What distribution patterns do you see? Which data groups do you see more frequently? Why?
The most occuring data group seems to be a population density of about 16-30 per km2. If I had to guess on why this is so, I would consider the wide range of climates in each country of South America. Many areas of South America also have high altitudes of mountains that don’t allow many people opportunities for industrialization and transportation. Subsequently, there are few regions in countries that have the correct climate and offer transportation that allows industrialization. Therefore, this causes people to cluster in certain towns or cities in order to ensure the best agriculture. People might also follow a linear distribution …show more content…

Look at the map of the world in the textbook. Are there areas of South America where the population density is scattered, clustered or linear? Use the internet to find a map that shows the physical features of South America to explain this pattern.
As I observe both maps and compare the population density to the physical features in that area I see many patterns. For example, countries such as Guyana, Suriname, French Guiana and Bolivia prove to have very little people living per km2, meaning that they have a low population density. I believe that the physical features in that area are to blame for the scattered population as all the regions are located in tropical rainforests and high altitudes that have year round tropical climates. These physical features are unable to sustain large populations as agriculture is hard to manage, resources are scarce and transportation is hard to build. Therefore people live isolated from each other and often thrive for themselves and their families. As for countries that are

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