Analyzing aggregate data, using either software package, helps to speed up computationally intensive equations for finding spatial, temporal, or spatiotemporal clusters.
Comparison of FGBASE and SaTScan
FGBASE
|
SaTScan
|
|
Operating system(s)
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Mac OS X
|
Windows, Linux,
Mac OS X
|
Open source code
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Yes
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No
|
Geographic output
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In app
|
New: Export to KML or SHP
|
Sample data sets
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Yes, 1
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Yes, several
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Documentation
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TBD
|
Extensive
|
Publications
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1
|
Extensive, hundreds
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Although FGBASE comes with some sample data (available at: http://www.fgbase.org/user-data/), the program was only recently released. Aside: The data set is different from the one used in the published paper, so you will notice differences when looking at your screen. What data sets you will need and how they are structured is available at: http://www.fgbase.org/user-data/.
A stock screenshot of FGBASE. Source: IJHG |
Read more at the International Journal of Health Geographics:
http://www.ij-healthgeographics.com/content/pdf/1476-072X-13-46.pdf
See also:
Treescan
R: Spatial Epi Package
There is also an experimental SaTSViz plugin in QGIS but I have not had a chance to look at.
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