Brazil, just like any other country in South America, has witnessed rapid urbanization. This has an implication on transport, particularly public transport.
Like in all other sectors, the country’s leadership has the insatiable desire to be the best in the world, including for the public transport sector.
Occupancy prediction is one of the many ways Big Data is proving to be useful to both the passenger and the transit authority in Poland.
Personal cars are not an efficient means of transport as they cause 11 times as much congestion compared to a bus ferrying passengers during rush hours.
Public transport happens to be right at the heart of professional growth for a huge percentage of people in all countries. So what is public transport?
Thanks to the advancement of technology, transport data collection methods have evolved so much. Here's how they look like then and now.
The Atlas is specific in detailing an area's geographical and political features, which brings us to mapping projections, crucial for geospatial data analytics.
Spatial aggregation is one of the techniques used to ensure data is protected when citizens disclose their personal information during census.
One major strength of Geohashing is that it can also be used to provide a good degree of anonymity.