dataset contains 476 observations, 34 categorical and 442 numerical. Land-cover data was generated through remote sensing classification techniques using Sentinel-2 satellite images from year 2016. Temperatures were obtained from TIRS band 10 of Landsat 8 satellites images. Particulate matter concentrations were estimated using spatial modelling techniques from 10 pollution stations distributed in the city. Altitude was generated from a Digital Elevation Model. Population and poverty were gathered from Casen 2017 survey.
data(landcover)The data frame contains four variables as follows:
Name of Municipality
Percentage of surface covered by built-up area
Percentage of surface covered by vegetation
Percentage of surface covered by bare soil
Percentage of surface covered by deciduous vegetation
Percentage of surface covered by evergreen vegetation
Percentage of surface covered by evergreen vegetation
Land surface temperature in celsius degrees at 2pm on a winter 0% cloud day
Land surface temperature in celsius degrees at 2pm on a summer 0% cloud day
Average particulate matter 10 micron during winter months
Average particulate matter 10 micron during summer months
Percentage of people under poverty line year 2017.
Average altitude of municipal area.
Total population of municipality
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data(landcover)
head(landcover)
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