HeatMinerDemo

Geographic Heatmaps

Many interesting values are location-based and most useful when displayed on a map. Typically, you have geolocation coordinates of some objects and possibly some other values associated to those objects. Then you would like to see how your objects and values are spreaded geographically. HeatMiner® is a great tool to visualize such data!

Even planet-wide geographic heatmaps are so easy to generate with HeatMiner®. To demonstrate this, we downloaded world-wide weather station information from National Climatic Data Center (NCDC) and extracted the latitude and longitude coordinates of the stations into a simple text file. The picture below shows the locations of the stations on a world map as visualized by NCDC.


When the file containing latitude and longitude coordinates of the stations is given to HeatMiner® it summarizes all locations into a 3D-heatmap showing the whole planet. The colors indicate the density of weather stations at each location. If you take a closer look, you'll probably recognize North America, Europe, Japan and some other countries as orange and red areas indicating high station density. The 3D-heatmap can also be saved as a high-quality heatmap image which shows each station location as a colored point. Adding a blank world map as a background image makes the heatmap even more spectacular and easier to interpret.

Weather station density visualized by HeatMiner®, the visual data mining technology by Agience Oy Ltd Weather station density visualized by HeatMiner®, the visual data mining technology by Agience Oy Ltd Weather station density visualized by HeatMiner®, the visual data mining technology by Agience Oy Ltd Weather station density visualized by HeatMiner®, the visual data mining technology by Agience Oy Ltd


If your browser supports Java and you have a fast network connection, go and spin the Earth with the Java3d-applet demo.

Location + Observation = Great visualizations!

Having location-based observations? HeatMiner® can visualize them for you! For instance, the following snapshots show 3D-heatmaps based on 927822 (longitude,latitude,elevation) sample points given as a zipped text file.

heatminer-america heatminer-africa heatminer-antarctica


Note that the zipped elevation data was the only input needed and the sample points are non-gridded (well, random samples from a gridded data set to be precise). The picture below shows a small portion of the input data visualized as a traditional 3D-plot. See also how HeatMiner smoothing technique can be used to generate great-looking heatmaps from a really sparse data set.

elevation-data


Elevation data was chosen purely for demonstration purposes because when visualized as a heatmap, it produces familiar shapes (the continents) which validates the method. Any other location-based value can be visualized similarly! For example, the 3D-heatmap below was generated using sea temperature observations (details here) and a foreground image showing the continents.

Sea surface temperature visualized by HeatMiner


Try HeatMiner!

Some of these great HeatMiner® heatmap visualizations are now available as-a-Service at the Cloud'N'Sci.fi algorithm marketplace. Go to the HeatMiner homepage and create heatmaps from your own data using free evaluation campaigns! New heatmap types and demos are introduced frequently at the new HeatMiner wiki pages so keep an eye on it for updates.

Want to see more?

Check the latest HeatMiner solutions and demos!

<< Snapshot images | Good-old Demos | Heatmaps with background graphics >>

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