Monday, July 29, 2019
UCR Star reveals Google Maps poor quality in Beijing, China (Or may be not!)
We used to hear stories about some mapping applications failing due to poor data quality. However, it makes a big difference when you find major failure of the most prevalent mapping application in the country with the biggest user base. The story is that while exploring some datasets in UCR Star, I found the following view of building in Beijing, China.
Labels:
maps,
quality,
ucrstar,
visualization
Location:
Riverside, CA, USA
Sunday, July 14, 2019
A Star Is Born at UCR
UCR STAR
In the Big Data Lab at UCR, we are happy to announce the first release of UCR STAR, formally, the UCR Spatio-temporal Active Repository [https://star.cs.ucr.edu/]. STAR is made available as a service to the research community to provide easy access to existing big spatio-temporal datasets through an interactive exploratory interface. Researchers and developers can choose from the datasets and interactively explore them through a map-based interface. Users can also search and filter those datasets as if they are shopping for their research, except that everything is free. The website is best accessed through a desktop browser but a limited mobile-friendly interface is also provided. You can find more details on how to use the archive at [http://star.cs.ucr.edu/about.html].
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