Visualizing geospatial data can help users communicate how different variables correlate to geographical locations by layering the same variables over maps.
Geospatial data has morphed into one of the most in-demand forms of data. Before the different commercial industries started tapping their potential, Geospatial Data was mainly used by the military, maritime, aeronautical organizations, and intelligence agencies.
Kenya's transport landscape doesn't bear much resemblance to the conventional ones. Could this influence the data analysis of Kenya's transport system?
Is the fear of Covid-19 infections in public transport really justified? What is the likelihood that someone will get infected in public transport?
Here's an introduction to a data-driven solution we've been working on: Fahrbar.
This article lists the many possible people counting options that public transport operators have for counting the number of passengers in public transport.
How can mobile data help bring sustainability to greater heights? Here are 6 ways.
This article explains the role of occupancy data in helping public transport users follow social distancing rules in public transport.
Covid-19 has changed the way we work and travel. What lies ahead for transport in the long run?
Three countries in East Asia have come a long way in improving public transport. We look at how they used Big Data to do so.