1. Arrange your calculated SO2 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 SO2 emission intensity; 2. Repeat Step 1 to draw a map showing the spatial variation of economic development as measured by per capita GDP; 3. Compare and contrast the two maps you have created and identify the relationship between the spatial variation of SO2 emission intensity and level of economic development; The data for total SO2 emissions and GDP for each province of China are given in the table provided. Using this data, we can calculate the SO2 emission intensity for each province as follows: Province Total SO2 emissions (ton) GDP (million yuan) SO2 emission intensity (ton/million yuan GDP) Anhui 826,000 2,798,338 295.3 Beijing 86,000 3,030,170 28.4 Chongqing 302,000 2,211,004 136.5 Fujian 375,000 3,710,378 101 Gansu 238,000 842,768 282.3 Guangdong 951,000 10,167,562 93.5 Guangxi 372,000 2,485,684 149.6 Guizhou 263,000 1,333,129 197.2 Hainan 94,000 482,771 194.9 Hebei 1,570,000 3,900,012 402.6 Heilongjiang 800,000 1,967,789 406.8 Henan 1,276,000 5,396,221 236.6 Hubei 1,039,000 4,549,566 228.3 Hunan 943,000 5,002,469 188.5 Inner Mongolia 1,036,000 1,732,297 597.9 Jiangsu 726,000 9,979,303 72.8 Jiangxi 444,000 2,354,148 188.6 Jilin 447,000 1,646,237 271.5 Liaoning 1,185,000 2,744,151 432.1 Ningxia 75,000 309,211 242.5 Qinghai 49,000 228,219 214.5 Shaanxi 608,000 2,836,181 214.4 Shandong 1,157,000 7,654,921 151.1 Shanghai 64,000 3,630,188 17.6 Shanxi 428,000 1,538,931 278.3 Sichuan 734,000 5,560,640 132.1 Tianjin 96,000 1,868,969 51.3 Tibet 6,000 70,735 84.8 Xinjiang 332,000 1,516,913 12.5 Total SO2 emissions GDP (million SO2 emission intensity (ton/million Province (ton) yuan) yuan GDP) Anhui 826,000 2,798,338 295.3 Beijing 86,000 3,030,170 28.4 Chongqing 302,000 2,211,004 136.5 Fujian 375,000 3,710,378 101 Gansu 238,000 842,768 282.3 Guangdong 951,000 10,167,562 93.5 Guangxi 372,000 2,485,684 149.6 Guizhou 263,000 1,333,129 197.2 Hainan 94,000 482,771 194.9 Hebei 1,570,000 3,900,012 402.6 Heilongjiang 800,000 1,967,789 406.8 Henan 1,276,000 5,396,221 236.6 Hubei 1,039,000 4,549,566 228.3 Hunan 943,000 5,002,469 188.5 Inner 1,036,000 1,732,297 597.9 Mongolia Jiangsu 726,000 9,979,303 72.8 Jiangxi 444,000 2,354,148 188.6 Jilin 447,000 1,646,237 271.5 Liaoning 1,185,000 2,744,151 432.1 Ningxia 75,000 309,211 242.5 Qinghai 49,000 228,219 214.5 Shaanxi 608,000 2,836,181 214.4 Shandong 1,157,000 7,654,921 151.1 Shanghai 64,000 3,630,188 17.6 Shanxi 428,000 1,538,931 278.3 Sichuan 734,000 5,560,640 132.1 Tianjin 96,000 1,868,969 51.3 Tibet 6,000 70,735 84.8 Xinjiang 332,000 1,516,913 12.5.

1. 1. Arrange your calculated SO2 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 SO2 emission
intensity;
2. Repeat Step 1 to draw a map showing the spatial variation of economic development as
measured by per capita GDP;
3. Compare and contrast the two maps you have created and identify the relationship between the
spatial variation of SO2 emission intensity and level of economic development;
The data for total SO2 emissions and GDP for each province of China are given in the table
provided. Using this data, we can calculate the SO2 emission intensity for each province as
follows:
Province
Total SO2 emissions (ton)
GDP (million yuan)
SO2 emission intensity (ton/million yuan GDP)
Anhui
826,000
2,798,338
295.3
Beijing
86,000
3,030,170
28.4
Chongqing
302,000
2,211,004
136.5

2. Fujian
375,000
3,710,378
101
Gansu
238,000
842,768
282.3
Guangdong
951,000
10,167,562
93.5
Guangxi
372,000
2,485,684
149.6
Guizhou
263,000
1,333,129
197.2
Hainan
94,000
482,771

3. 194.9
Hebei
1,570,000
3,900,012
402.6
Heilongjiang
800,000
1,967,789
406.8
Henan
1,276,000
5,396,221
236.6
Hubei
1,039,000
4,549,566
228.3
Hunan
943,000
5,002,469
188.5
Inner Mongolia
1,036,000

4. 1,732,297
597.9
Jiangsu
726,000
9,979,303
72.8
Jiangxi
444,000
2,354,148
188.6
Jilin
447,000
1,646,237
271.5
Liaoning
1,185,000
2,744,151
432.1
Ningxia
75,000
309,211
242.5
Qinghai

5. 49,000
228,219
214.5
Shaanxi
608,000
2,836,181
214.4
Shandong
1,157,000
7,654,921
151.1
Shanghai
64,000
3,630,188
17.6
Shanxi
428,000
1,538,931
278.3
Sichuan
734,000
5,560,640
132.1

6. Tianjin
96,000
1,868,969
51.3
Tibet
6,000
70,735
84.8
Xinjiang
332,000
1,516,913
12.5
Province
Total SO2 emissions
(ton)
GDP (million
yuan)
SO2 emission intensity (ton/million
yuan GDP)
Anhui 826,000 2,798,338 295.3
Beijing 86,000 3,030,170 28.4
Chongqing 302,000 2,211,004 136.5
Fujian 375,000 3,710,378 101
Gansu 238,000 842,768 282.3
Guangdong 951,000 10,167,562 93.5
Guangxi 372,000 2,485,684 149.6
Guizhou 263,000 1,333,129 197.2
Hainan 94,000 482,771 194.9
Hebei 1,570,000 3,900,012 402.6
Heilongjiang 800,000 1,967,789 406.8
Henan 1,276,000 5,396,221 236.6
Hubei 1,039,000 4,549,566 228.3
Hunan 943,000 5,002,469 188.5
Inner
Mongolia
1,036,000 1,732,297 597.9
Jiangsu 726,000 9,979,303 72.8

7. Jiangxi 444,000 2,354,148 188.6
Jilin 447,000 1,646,237 271.5
Liaoning 1,185,000 2,744,151 432.1
Ningxia 75,000 309,211 242.5
Qinghai 49,000 228,219 214.5
Shaanxi 608,000 2,836,181 214.4
Shandong 1,157,000 7,654,921 151.1
Shanghai 64,000 3,630,188 17.6
Shanxi 428,000 1,538,931 278.3
Sichuan 734,000 5,560,640 132.1
Tianjin 96,000 1,868,969 51.3
Tibet 6,000 70,735 84.8
Xinjiang 332,000 1,516,913 12.5