This code base is using the Julia Language and DrWatson to make a reproducible scientific project named

CoolWalks

To (locally) reproduce this project, do the following:

0. (Install Julia if you haven't already. The prefered way of doing so is via juliaup).

1. Download this code base.

2. Open a Julia console and do:

   julia> using Pkg
   
   julia> Pkg.add("DrWatson") # install globally, for using `quickactivate`
   
   # add the registry which distributes the CoolWalks packages
   julia> Pkg.Registry.add(RegistrySpec(url="https://github.com/henrik-wolf/CoolWalksRegistry"))
   
   julia> Pkg.activate("path/to/this/project")
   
   julia> Pkg.instantiate()

   This will install all necessary packages for you to be able to run the scripts and everything should work out of the box, including correctly finding local paths.

3. Download the datasets for the experiments from zenodo and place them in the data/ folder.

4. Check if the files are in the right place by running

   julia scripts/0_check_datasets.jl

The datasets include the final, processed datasets from our analysis. You can reproduce the figures from the paper by running the corresponding scripts in scripts/paper_plots/*.

If you want to rerun the experiments for the paper, you can do so by running the script 1_run_analysis.jl.

In order to run your own datasets, you need two things: a network as specified by ShadowGraphs.jl and buildings as specified by CompositeBuildings.jl.

Every empirical dataset works of the RealCitySetup type, which is a full description of the dataset you want to run an Experiment on. We load and prepare the dataset by calling load_city on the setup. Which then dispatches on the name of the city setup.name, the network type setup.network_type and the city type city_type of your specific dataset. To integrate your datasets into this project, you thus need to overload the function

function load_real_city(setup, name::Val{:your_city_name}, network_type::Val{:your_network_type}, city_type::Type{SB_City})
streets = # load your streets
buildings = # load your buildings
return SB_City(...)
end

Take a look at src/city_loading.jl for the dispatches for the examle datasets. Additionally, look into src/example_city_setups.jl for some example definitions of CitySetups.

Take a look at the source code in src/* for this package. (See Source README for a brief overview of the contents of each file.) Additionally, you can look into the source code of the other packages this project depends on at MinistryOfCoolWalks.jl

You may notice that most scripts start with the commands:

using DrWatson
@quickactivate :CoolWalks

which auto-activates the project and imports (uses) the CoolWalks package defined in /src/. This enables DrWatson to correctly handle local paths and to ensure that the scripts always run in the correct environment.