Oliver Stead- Assignment 3

on 21|12|2014
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The data set that I used within this assignment was the same data set that I used within my 1st assignment.
The data had value for the carbon dioxide emissions for many countries from the year 1980-2006.

I used the ‘choropleth map’ example from the folding maps examples folder to create tiles for each country. I changed the map provider to google maps as this included the names for the countries which I was unable to produce on rollover of the tiles, so I thought this would help in adding clarity. The slider functions from tutorial week3 were also used.

Project4_1 This image shows the simulation running for 1980, the earliest set of data. The darker red tiles show the countries with the highest carbon emissions and the nearly fully clear tiles show the counties with either the lowest carbon emissions or where no data was available within the data set.

 

 

 

 

 

Project4_2

This image shows the code which selects the column from which the data is chosen. It was my intention to create a slider, which is present in the visualization but does not work. That would allow for scrolling through all different years of data but I was unable to get this work and had to resort changing the value manually.

 

 

 

 

 

Project4_3

When zooming in on the maps it is clearer to see the difference in the color intensity of the tile depending on the year which is shown. This image shows the visualization for 1980 focusing on India.

 

 

 

 

 

 

Project4_4

In the code the value is changed to select the data from 2006. This can be seen from the change of column number.

 

 

 

 

 

 

Project4_5

This image shows the visualization for the year 2006. When comparing the image from 1980 to 2006 it shows the difference between the values for India between the two years.

 

 

 

 

 

 

I feel that this visualization would have been very successful if the slider was able to work as this greatly improved on how I showed the data from assignment 1 by being able to show the progression of CO2 emissions for each year.

Processing folder – Assignment4

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