An unsupervised classification method for inferring original case locations from low-resolution disease maps
<p>Abstract</p> <p>Background</p> <p>Widespread availability of geographic information systems software has facilitated the use of disease mapping in academia, government and private sector. Maps that display the address of affected patients are often exchanged in publi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-12-01
|
| Series: | International Journal of Health Geographics |
| Online Access: | http://www.ij-healthgeographics.com/content/5/1/56 |