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Figure 1. Administrative map of 31 province-level regions in China Table 1. Original data for 31
province-level regions in China The purpose of this project is to analyze the spatial variation of
air pollution as measured by Sulfur Dioxide ( SO 2 ) emission and its relationship with the level
of economic development in China at the provincial level. You are provided with a boundary
map of provincial China and a table showing relevant statistical data for you to analyze. 1.
Calculate a) Sulfur Dioxide ( SO 2 ) emission intensity in tons per million yuan GDP and b) level
of economic development as measured by per capita GDP for every province; 2. Arrange your
calculated SO 2 emission intensity for the Chinese provinces either in an ascending or
descending order, divide them into four categories of an equal interval, and then draw a map
using four different colours or patterns to show the spatial variation of SO 2 emission intensity;
3. Repeat Step 2 to draw a map showing the spatial variation of economic development as
measured by per capita GDP; 4. Compare and contrast the two maps you have created and
identify the relationship between the spatial variation of SO 2 emission intensity and level of
economic development;

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Figure 1- Administrative map of 31 province-level regions in ChinaTabl.pdf

  • 1. Figure 1. Administrative map of 31 province-level regions in China Table 1. Original data for 31 province-level regions in China The purpose of this project is to analyze the spatial variation of air pollution as measured by Sulfur Dioxide ( SO 2 ) emission and its relationship with the level of economic development in China at the provincial level. You are provided with a boundary map of provincial China and a table showing relevant statistical data for you to analyze. 1. Calculate a) Sulfur Dioxide ( SO 2 ) emission intensity in tons per million yuan GDP and b) level of economic development as measured by per capita GDP for every province; 2. Arrange your calculated SO 2 emission intensity for the Chinese provinces either in an ascending or descending order, divide them into four categories of an equal interval, and then draw a map using four different colours or patterns to show the spatial variation of SO 2 emission intensity; 3. Repeat Step 2 to draw a map showing the spatial variation of economic development as measured by per capita GDP; 4. Compare and contrast the two maps you have created and identify the relationship between the spatial variation of SO 2 emission intensity and level of economic development;