argentina_df: Argentina land-use change driver data

In tkrisztin/downscalr: Downscaling land-use change projections

Argentina land-use change driver data

Description

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

tkrisztin/downscalr documentation built on June 2, 2025, 1:16 a.m.