| shuparks | R Documentation |
A data set on urban parks in Shanghai and their effect on temperature.
shuparks
A data frame with 24 observations on the following 10 variables.
groupa grouping category for park size, either 'Super Large', 'Large', 'Medium', or 'Small'
namethe name of the park
hapark area, in hectares
areappercentage of the area of each park in the built-up part of Shanghai
gcthe percentage of the trees or grass area in each park divided by the park area
functhe supposed function of each park, per the Shanghai Landscape and City Appearance Administrative Bureau and Forestry Bureau
mcd15the maximum cooling distance, in meters, in 2015
mci15the maximum cooling intensity, in Celsius, in 2015
mcd20the maximum cooling distance, in meters, in 2020
mci20the maximum cooling intensity, in Celsius, in 2020
Data come from Table 1 and Table 5 in Wang et al. (2022). Read that article for more technical details.
Wang, Tian, Gui Tu, Bo Min, Zuzheng Li, Xiaofang Li, and Qingxiang You. 2022. "The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method." International Journal of Environmental Research and Public Health 19(5): 2949.
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