Explore Overpass, Geoapify, Distancematrix.ai, Amadeus, and Mapillary for Advanced Mapping and Location Data
Geographic data is important in many analyses, enabling us to decide based on location and spatial patterns. Examples of projects where geodata can come in handy include predicting house prices, route optimization in transportation, or establishing a marketing strategy for business.
However, as a data scientist, you will frequently face the challenge of where to obtain this data. In many cases, there are public sources with information on geographic data; however, in many cases, the information they provide needs to be revised for the analyses we want to perform.
This article will evaluate five of the most useful APIs for obtaining large-scale geographic data. We will assess their usage, advantages and disadvantages, and the main applications of the information they provide. Think of this article as a fundamental foundation for the use and applications of these APIs, so that you can later delve deeper into all the tools they offer.
The Overpass API allows access to the information available on the OpenStreetMap website. OpenStreetMap is an open geographic…
