Without a doubt the entire world has been affected in some way or another by COVID-19. This event has ignited an intense amount of research resulting in data analysis, visualizations, models, and dashboards being created on a daily basis in order to … Read More
We recently celebrated the 30th anniversary of the founding of CCRi, and to celebrate that occasion and give back to our local community, we sponsored an internal hackathon for our staff one recent afternoon. The hackathon is one of the elements of our … Read More
Problem Rather than simply flying straight from point A to point B, commercial airline flights fly along preset routes. Pilots often liken these routes to “highways in the sky.” However, unlike highways on the ground, exact maps of these routes … Read More
With the increasing availability of network connected GPS devices, aircraft trajectory data is now quite common. Mining trajectory data for patterns presents a number of unique challenges: Density: Trajectories are often represented as a collection of observations ordered by time. … Read More
A number of healthcare metrics, including readmission rates and chronic disease burden, have been linked to socioeconomic indexes in various studies. In the United States, many of these indexes can be calculated from freely available US Census Bureau data. Generally, … Read More
By Austin Heyne and Jim Hughes In the current Big Data environment, it’s crucial to have a quick iteration cycle for exploring data, performing analytics, and visualizing the result. For example, the impact of Hurricane Harvey on oil and gas … Read More
Release 1.3 of GeoMesa has taken some great steps in making GeoMesa an even better analytics platform for Big Spatial Data. Many improvements fall into two categories: support for a wider range of Spark features and improved support for interactive … Read More
When starting a new data science project, one should typically first understand the problem domain, state a hypothesis, and then gather data to prove or disprove said hypothesis. But, if I’m being honest, I usually start with a new data … Read More
Earlier this summer, the CCRi blog entry GeoMesa analytics in a Jupyter notebook introduced the use of Jupyter notebooks with Scala and GeoMesa to do Apache Spark analytics and geospatial visualization. As the blog entry said, it only scratched the … Read More
Well-known GeoMesa use cases often center around its ability to work with large, scalable column-oriented database managers such as Accumulo, HBase, and Google Cloud Bigtable. These systems are well-known for their ability to store very large amounts of data, and … Read More