landcover {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(landcover)
Format
The data frame contains four variables as follows:
- county
Name of Municipality
- built.p
Percentage of surface covered by built-up area
- vegeta.p
Percentage of surface covered by vegetation
- naked.p
Percentage of surface covered by bare soil
- grass.p
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.winter
Land surface temperature in celsius degrees at 2pm on a winter 0% cloud day
- temp.summer
Land surface temperature in celsius degrees at 2pm on a summer 0% cloud day
- pm10.winter
Average particulate matter 10 micron during winter months
- pm10.summer
Average particulate matter 10 micron during summer months
- poor.p
Percentage of people under poverty line year 2017.
- eleva
Average altitude of municipal area.
- pop
Total population of municipality
Source
Data were provided by Dr Ignacio Fernandez at Universidad Adolfo IbaƱez (Santiago, Chile).
References
Not yet
Examples
data(landcover)
head(landcover)