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Using Dynamic Non-Spatial Data In GeoCommons | geoMusings In my previous post, I described how I used a Python script to scrape power outage information from a local web site and convert it into an RSS feed. In this post, I’ll show how I used GeoCommons to visualize the changing information over time. The process starts by creating a data set in GeoCommmons based on a URL link to the feed created in the previous post. The general process for doing that can be found here in the GeoCommons documentation. My feed is not a GeoRSS feed so it has no location data of its own for GeoCommons to work with. The feed summarizes power outage by ZIP code so I chose “Join with a boundary dataset” so that I could join it with ZIP code boundaries I had previously uploaded. I selected the attribute in my feed (title) that was to be used to join with a corresponding attribute in the boundary data set (Zip) as shown below. You’ll notice that the success message indicates three features were matched. In the image above, you’ll notice a link labeled “fetch latest.”

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