| landCoverSantiago {datana} | R Documentation |
Land-cover, environmental and sociodemographic data for the 34 municipalities composing the Greater Santiago area, Santiago, Chile.
Description
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.
Usage
data(landCoverSantiago)
Format
The data frame contains four variables as follows:
- Comuna
Name of Municipality
- p.Construido
Percentage of surface covered by built-up area
- p.Vegetacion
Percentage of surface covered by vegetation
- p.Desnudo
Percentage of surface covered by bare soil
- p.Pasto
Percentage of surface covered by deciduous vegetation
- p.Deciduo
Percentage of surface covered by evergreen vegetation
- p.Siempreverde
Percentage of surface covered by evergreen vegetation
- Temp Invierno
Land surface temperature in celsius degrees at 2pm on a winter 0% cloud day
- Temp Verano
Land surface temperature in celsius degrees at 2pm on a summer 0% cloud day
- PM10 Invierno
Average particulate matter 10 micron during winter months
- PM10 Verano
Average particulate matter 10 micron during summer months
- p.pobreza 2017
Percentage of people under poverty line year 2017
- Altitud promedio
Average altitude of municipal area
- Poblacion
Total population of municipality
Source
Data were provided by Dr Ignacio Fernandez at the Universidad Mayor (Santiago, Chile).
References
Not yet
Examples
data(landCoverSantiago)
head(landCoverSantiago)