Ignite Presentation

YouTube - Created with Haiku Deck, presentation software that inspires

Gapminder Screencast and Analysis

Analysis

       For variable set one I chose Agriculture(% of GDP) and Income Per Person(GDP per capita).  For variable set two I chose Extreme Poverty(% people below $1.25 a day) and Improved water source, rural access(%). 

       The less Agriculture(% of GDP)  means a country is more developed as less people are involved in the primary sector of labor.  The higher Income Per Person(GDP per capita) means a country is more developed as people produce profitable goods.   The lower Extreme Poverty(% people below $1.25 a day) interprets to people making more money, therefore a country is more likely to be developed.  The higher Improved water source, rural access(%)  means more people living in rural areas have access to improved water sources meaning a country is more developed.

For variable set one, the higher GDP and low Agriculture % of GDP means the country is wealthy because people make more and usually less people are involved in Agriculture.  Mainly European countries, North American countries and South East Asia countries have a high GDP and low Agriculture % of GDP because people there are mainly engaged in service type jobs because less people have to work in the primary sector.  This is because many farms/ranches are operated by few people yet have high yields.

In variable set two, countries with low Extreme Poverty(% people below $1.25 a day) and high Improved water source, rural access(%) are wealthier because their governments can improve a water source for their people.  These countries are usually European, North American and South East Asia countries.

I believe the reason for these trends have to do with geographic luck.  Most of the countries that rank high for these development categories are in optimal places.  They also have completed the demographic transition and have a high HDI.

Crossing the Line GIS Activity Analysis

Crossing the Line GIS Activity Analysis

The country I have selected to split is Ukraine and the two countries I have selected to merge are North and South Korea.  Ukraine is located in East Europe west of Russia.  The Koreas are in Asia southeast of China.  

I believe Ukraine will split because of the fact that there is already a division between the mainly European north and Russian South.  Another devolution factor is there is economic unrest and hardship occurring in Ukraine.  North and South Korea could possibly merge after the downfall of the dictatorship currently in North Korea.  South Korea already has plans to help merge both countries.

The reason I chose the boundary in Ukraine is there is already a cultural boundary between Russian speakers and non-Russian speakers.  This boundary could happen when Russian speaking part either merges with Russia or separates from the other part of Ukraine.  If the two Koreas merge I think the existing boundaries with other countries would stay the same.  

The new boundaries will hopefully help the people live better.  The Ukraine boundaries will hopefully stop some disputes in the country.  The Korea boundaries can hopefully end disputes between the two countries.   

Crossing the Line GIS Activity

View Larger Map

Census Data Mapper Map & Analysis - October 2013.

LINK to this map on Google Drive. The map I’m analyzing is Average Family size. Average family size tends to be larger in the Mormon Corridor, Alaska and Hawaii. The family size is smaller in North. An explanation to explain why it is higher in those mentioned places is that native people and Mormons are clustered in those areas. Higher family sizes could also be required to do manual work in those areas. This makes a difference as there would be many young people there. This could cause more businesses in those locations to be more focused towards younger people.