mimetic_location

prepare_data

• run.py

Get global satelates night lights data from VIIRS (google earth api); Get world administrative areas data from Global Administrative Unit Layers (GAUL); Get top 100 largest cities by population from https://www.macrotrends.net/cities/largest-cities-by-population;

process csv file to Mimetic

• process.py

Merge them to generate:

1. final_data.csv -> cities with their own lights, population, etc..
2. distance_data.csv -> distance data for each others.

Mimetic

• mimetic_single.py

Single-threaded version Mimetic

• mimetic_async.py

Separated version Mimetic

• mimetic_async_separate.py

Parallel evaluation version Mimetic

Visualisation

• only support jupyter notebook

• how to start visualisation?

#jupyter notebook

Then run on your brower.