Open FanWangEcon opened 7 months ago
Central: Anhui,Henan,Hubei,Hunan,Jiangxi,Shanxi Eastern: Beijing,Fujian,Guangdong,Hainan,Hebei,Jiangsu,Shandong,Shanghai,Tianjin,Zhejiang Northeastern: Heilongjiang,Jilin,Liaoning Western: Chongqing,Gansu,Guangxi,Guizhou,Inner Mongolia,Ningxia,Qinghai,Shaanxi,Sichuan,Tibet,Xinjiang,Yunnan
Visualize changes for regions/provicnes
Show in table and figure changes in temperature exposure for the average child in different regions/provinces.
Outputs
Tabule A1 and A2, region/provinces-by-region-group are rows, and different temperatures are columns
Table A1 considers three hotter temperature levels, 32, 35 and 38. First two grouped together as Strong heat stress. Table A2 considers three less hot heat thresholds, 23, 26, 29, the latter two grouped as moderate heat stress. The table jointly emphasize that for different locations, different thresholds might be relevant, depending on prior share of time above, and changes.
Figure A outputs:
Algorithm
Step 1 Generate data structures for outputs
To implement the outputs:
Note parts (1) through (4) follow from step 1 of #34.
Step 2, generate Table A1 and A2
Single file that generate both tables, given similarity.