Contributed by Lei Zhang.
Recently one phone game spread through the whole world, and cause a lot of interesting topic about the technique behind the game. One of the hot topic is: How to predict the pokemon spawning position?
Here I developed an app to predict the pokemon spawning position and the probability of spawning at that position. This is the exciting news for the fans of the game, who can easily find the possible spawning position and collect the rare desired pokemon. Next let me introduce my app.
Figure 1 show the pokemon (Pidgey) spawn distribution and frequent at each spawn location
Figure 2 select the city: Los Angels and adjust the zoom level to 16, and this show very small range and explicit spawn location
Figure 3, using the the satellite map "Esri.WorldImagery" to search the very rare kind of pokemon(Pikachu) and investigate the surrounding of the location
Figure 4 the zoomed central park map showing the explicit pokemon spawn location and the traffic.
Apply more features and machine learning , get more accurate prediction
Actually, there is one very complicated equation to generate the pokemon spawns. In the future, I am going to add more features, such as wind speed, temperature, resident population density, the local time, the moving speed, and apply the machine learning algorithm to track the pokemon more accurate.