This blog is written by the team behind the SpatialKey visualization system. For more on the application, please see our Technology Preview or check out the examples in the Gallery page. We'll write here about potential use cases for SpatialKey, as well as issues related to GIS, cartography, crime mapping, and geographic visualization.
USGS Water Data is a data goldmine that includes over 25,000 stations across the U.S. Each measures variables such as streamflow, water temperature, precipitation, and other hydrological and meteorological properties. Though sub-hourly readings are taken, daily data are available for many stations going all the way back to 1980. And all are available via automated [...]
On behalf of the whole SpatialKey team here at Universal Mind, I’m happy to announce a technology preview of our SpatialKey visualization system. SpatialKey includes an advanced mapping and visualization toolset, and is designed specifically for geographic data with a temporal component. Think arrest locations, or data on the spread of a social [...]
Sacramento’s housing market offers a case study of the nationwide trend toward lower home prices over the last few years. This dataset, acquired by Universal Mind from the Sacramento Bee, includes nearly 10,000 home sales from 2003 through May, 2008. Only sales of homes over 3000 square feet are included.
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The D.C. construction market provides a good example of a complex geotemporal (location + time) system. As in any city, construction increases and decreases over both time and space. The particular ebbs and flows of construction in the D.C. area, though, are particular to that metropolis. The dataset for this visualization comes [...]
The growth of Wal-Mart provides a particularly compelling use case for the SpatialKey Animation Template. Though most know of Wal-Mart’s southern provenance (Sam Walton opened the first Wal-Mart in Rogers, Arkansas, in 1962), the chain’s subsequent spread and resulting dominance over American retail is a more complex phenomenon. Utilizing a dataset of over 3000 Wal-Mart [...]