Earlier this month, our team shared 4 Simple Ways to Map Vehicle Location Data with OmniSci Free. We're following up to show you how we accessed and loaded OpenStreetMap (OSM) data in OmniSci Free, synthesized those streets with vehicle collisions, and delivered meaningful spatial insights.
Humans have always wanted to know what will happen next. In this post, we’ll explore how you can use the open-source forecasting procedure Facebook Prophet, OmniSci, and a historic time-series dataset to give a view into the future.
In this post, we use OmniSci to visualize a massive GPS mobility dataset, correlate our observations with historical censuses, and then predict census undercount.
In this blog post we analyze how the spike of COVID-19 infections at meat processing plants affected the surrounding communities.
People on the frontlines of the next phase of the COVID-19 response need interactive, large-scale data analysis. Read our most recent blog post on geospatial analysis of anonymized, geographic datasets to see how we are supporting national relief efforts.
Exploring the opioid epidemic with GPU accelerated analytics and visualization.
With the latest addition to our public demos, we have the absolutely spectacular 1.2 billion row taxi/limo/uber/lyft dataset from NYC. The dataset is comprised of staggering detail (full GPS, transaction type, passenger counts, timestamps) from January 2009 through June 2015 (essentially the birth of rideshare).