Pokemon GO + Big Data = Pokemon Nest
Like everyone else, I quickly fall addicted into playing Pokemon GO pretty much on the first day it launch in Malaysia. But, unlike everyone else, I so happened to be in IT field & a fan of Big Data. I have a plan in finding Pokemon nest.
Instead of chasing Pokemon blindly, increasing chance of hit by a car. I spent some free time studied open-source code PokemonGo-Map and built server collecting Pokemon sightings into database. Hoping to discover some interesting Pokemon locations in the process.
With limited resources, I unable to do a full city scan. But I was able to collect over 80,000 sightings (as of Aug 16) around Selangor/Kuala Lumpur region. These scan concentrates at major shopping malls, commercial areas, parks & famous landmarks.
With enough data (timestamp, type of Pokemon spawned, location and time it disappear), software able to builds “Pokemon Heatmaps“. A heatmap (or heat map) is a graphical representation of data where the individual values contained in a matrix are represented as colors. The higher the density, the warmer color it gets. In this case, the more Pokemon sightings found at the same place will show more red hotspots (high Pokemon concentration density) on the map.
Using statistics, we can predicts where (hopefully when as well) the biggest Pokemon population are, or more often known as “Pokemon nests“!
Dratini biggest nest found at Tasik Titiwangsa
Charmander nest found at Dataran Merdeka
I may not have all the data to predicts every Pokemon out there, but some confirmed Pokemon nest sites were found. Hopefully information shared above will help you guys out there catch some Pokemons without putting your life & other people’s lives at risk.
If you found an interesting place for some rare Pokemons, feel free to leave a comment below and I’ll try to check it out if it were a nest.
Stay tuned for the next post on where all these nests are! Be safe.