Comments on: Dataset of the Day: Here Come the Olympics! http://blog.geoiq.com/2008/08/01/dataset-of-the-day-here-come-the-olympics/ News and updates from GeoIQ Sun, 20 May 2012 18:37:19 +0000 hourly 1 http://wordpress.org/?v=3.0.1 By: lancaster pa personal injury lawyer http://blog.geoiq.com/2008/08/01/dataset-of-the-day-here-come-the-olympics/#comment-3724 lancaster pa personal injury lawyer Fri, 11 Nov 2011 00:19:52 +0000 http://blog.fortiusone.com/2008/08/01/dataset-of-the-day-here-come-the-olympics/#comment-3724 It’s hard to find knowledgeable people on this topic however you sound like you know what you’re talking about! Thanks It’s hard to find knowledgeable people on this topic however you sound like you know what you’re talking about! Thanks

]]> By: Sean Gorman http://blog.geoiq.com/2008/08/01/dataset-of-the-day-here-come-the-olympics/#comment-476 Sean Gorman Mon, 04 Aug 2008 19:02:20 +0000 http://blog.fortiusone.com/2008/08/01/dataset-of-the-day-here-come-the-olympics/#comment-476 Hi Paul, Appreciate the feedback and your excellent use of punctuation. Definitely makes the post come alive. Great point on the importance of normalization, and some of the issues it causes. One way to get around the big polygon issue is to use graduated or proportional symbols when you are making the map. One of the goals we had with Finder is making the source data available so if folks would like to show a different view with the data they are free to do so. If you would like to see rates instead of raw numbers easy to download the data and normalize the data. The data team created another Olympic dataset that compares the number of athlete hometowns per state normalized by the 2007 state population to provide one example of how the data can be refactored http://finder.geocommons.com/overlays/3678. That kind of work can be a bit sophisticated for users less savvy than yourself and we've been working on baking this into the application. Will let you know when it is up and going publicly. best, sean Hi Paul,

Appreciate the feedback and your excellent use of punctuation. Definitely makes the post come alive.

Great point on the importance of normalization, and some of the issues it causes. One way to get around the big polygon issue is to use graduated or proportional symbols when you are making the map.

One of the goals we had with Finder is making the source data available so if folks would like to show a different view with the data they are free to do so. If you would like to see rates instead of raw numbers easy to download the data and normalize the data.

The data team created another Olympic dataset that compares the number of athlete hometowns per state normalized by the 2007 state population to provide one example of how the data can be refactored http://finder.geocommons.com/overlays/3678.

That kind of work can be a bit sophisticated for users less savvy than yourself and we’ve been working on baking this into the application. Will let you know when it is up and going publicly.

best,
sean

]]> By: Paul Ramsey http://blog.geoiq.com/2008/08/01/dataset-of-the-day-here-come-the-olympics/#comment-475 Paul Ramsey Fri, 01 Aug 2008 20:16:51 +0000 http://blog.fortiusone.com/2008/08/01/dataset-of-the-day-here-come-the-olympics/#comment-475 This map nicely illustrates my favorite aspect of sociological mapping: hey, things happen to people were people live! Or in this case: athletes live where people live! All kinds of great inferences can be drawn from socioeconomic maps: people get cancer where people live, people have babies where people live, drug addition and crime happen where people live! No problem! Normalize your values by population! But then... because the geography of Podunk County is so much larger than the geography of New York, you can't see the results of the places that are interesting... because that's where the people live! This map nicely illustrates my favorite aspect of sociological mapping: hey, things happen to people were people live! Or in this case: athletes live where people live!

All kinds of great inferences can be drawn from socioeconomic maps: people get cancer where people live, people have babies where people live, drug addition and crime happen where people live!

No problem! Normalize your values by population! But then… because the geography of Podunk County is so much larger than the geography of New York, you can’t see the results of the places that are interesting… because that’s where the people live!

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