Where. Whether it refers to where you have been, where you are, or where you are
going, the concept of where is important. Where links data to the physical world. A
shopping list can be a very useful collection of data on its own, but that data can be
even more useful with more context. If you map the location of the stores needed for
each item on the shopping list, then you can create an efficient route to acquire the
items on the list. Driving directions, traffic information, and weather can impact the
route. All of this data can be fetched based on the location data added to the simple
shopping list.
Location can add a new filter or layer of insight into existing data. It makes all kinds of
new applications possible. In the past, using location or geographic data meant using
complex or at times expensive software. Datasets could be costly or hard to find. Developing
using open source tools such as Node.js and CouchDB has recently made
working with location data simple and fast.
