Argentina land-use change driver data
Format
A list with four items: xmat, restrictions, pop_data, lu_levels
xmat is a data frame with 96400 rows and 3 variables:
- ns
Pixel ids for Argentina
- ks
Variable names
- value
Value of variable
restrictions is a data frame with 38560 rows and 4 variables:
- ns
Pixel ids for Argentina
- lu.from
Origin land-use class of converion
- lu.to
Destination land-use class to which lu.from is converted
- value
Binary, 1 denotes that the conversion lu.from to lu.to is not allowed
pop_data is a data frame with 84832 rows and 4 variables, containing population projections until 2050
- ns
Pixel ids for Argentina
- times
Year of population projection
- ks
totPop - total population or ruralPop - rural population
- value
Number of persons
lu_levels is a data frame with 23136 rows and 3 variables, containing land-use observations in 2000
- ns
Pixel ids for Argentina
- lu.from
Land-use class
- value
Ha of land