I'm interested in using Latitude and Longitude points as features to build a classifier model, but would like to better understand if I need to be taking any precautions when using Lat/Long cords in this way.
For example I'd like to predict a certain type of event/actor (actor1) mentioned in data below. I ran them through a number of models like KNN, NB, CART, Random Forest, etc...and got decent results, but I'm not sure if I need to take any precautions (e.g. scaling, transformations, or something else) when feeding spatial coordinates into a classifier.
Any thoughts, feedback or suggestions on how to best handle this are welcome.