This is the julia code repository for our paper Structural Change, Land Use and Urban Expansion. It contains all code needed to produce model outputs. Notice that there is a separate R package (link) which is used to perform data measurements for the same paper.

Online Documentation :

Unit Tests :

1. Download julia
2. start julia. you see this:

                  _
      _       _ _(_)_     |  Documentation: https://docs.julialang.org
     (_)     | (_) (_)    |
      _ _   _| |_  __ _   |  Type "?" for help, "]?" for Pkg help.
     | | | | | | |/ _` |  |
     | | |_| | | | (_| |  |  Version 1.6.2 (2021-07-14)
    _/ |\__'_|_|_|\__'_|  |  Official https://julialang.org/ release
   |__/                   |
   
   

3. Hit the ] key to switch to package manager mode. the prompt switches to

   (v1.6) pkg>
   

4. Download this package by pasting this into the (v1.6) pkg> prompt and hitting enter.

   dev https://github.com/floswald/LandUse.jl.git

5. After this is done, hit backspace or ctrl-c to go back to standard julia> prompt.

   julia> cd(joinpath(DEPOT_PATH[1],"dev","LandUse"))  # go to the location of LandUse

6. Go back to package mode: type ]. then:

   (v1.6) pkg> activate .     # tell pkg manager to modify current directory as project
   (LandUse) pkg> instantiate    # download all dependencies

7. Done! 🎉 Now try it out. Go back to command mode with ctrl-c. Run the standard model of a single region. Notice that the first call is slow because it has to precompile (in particular Ipopt):

   julia> using LandUse, Flux
   
   julia> @time (x,M,p) = LandUse.runm();
   
   ******************************************************************************
   This program contains Ipopt, a library for large-scale nonlinear optimization.
    Ipopt is released as open source code under the Eclipse Public License (EPL).
            For more information visit https://github.com/coin-or/Ipopt
   ******************************************************************************
   
    48.071280 seconds (133.79 M allocations: 7.714 GiB, 4.13% gc time, 2.12% compilation time)
   
   julia> @time (x,M,p) = LandUse.runm();
     0.278983 seconds (1.07 M allocations: 166.982 MiB)
   
   julia> 
   
   # fast!

8. Run unit tests: (hit ] to go back to pkg mode)

   (LandUse) pkg> test
    Testing Running tests...
   
   Test Summary: | Pass  Total
   LandUse.jl    |  326    326
        Testing LandUse tests passed 

9. Run the interactives. (Go back to command mode with ctrl-c)

   julia> LandUse.i0()