A Measurement of Global Connectivity

I have made a video to visualize the variable I created called "airport score".
The measurement is created based on global airport network. It shows how centered each city is in the global air traffic network. In short, the airport score for each point on earth (or each city) is the sum product of airport weights and inverse distances to the point from all the airports. The airport weights are obtained through eigenvector centrality using a dataset of all the airline linkages in the world.
Method in details
1. There are about 3400 airports in the world, for each point with a longitude and latitude measurement, calculate the distance to each airport: d
2. Apply an inverse function f(x) = 1 / (1 + d)^p, different p gives different result. In the illustration below p = 200.
2. Time this f(x) with weights w. Then sum over the 3400 airports to get a score.


Before the 3D approach, I also tried 2D, which plots the score by horizontal Distance to the center of the city (Antwerp in the following example). Then it occurred to me what not show a 3D map.

Comments

Popular posts from this blog

How to Draw Heatmap with Colorful Dendrogram

Power-law distribution (Pareto)& Zipf's Law: connection and how to fit the distribution of global city population

eXtreme Gradient Boosting (XGBoost): Better than random forest or gradient boosting