Table 3 |
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|
Statistic parameters and adjustment quality of the prediction models generated using annual and seasonal AD |
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|
2004 |
2005 |
||||||
|
dry season |
rainy season |
global |
dry season |
rainy season |
global |
||
|
|
|||||||
|
Data |
Mean |
0.390 |
0.311 |
0.351 |
0.166 |
0.212 |
0.190 |
|
SD& |
0.385 |
0.260 |
0.330 |
0.241 |
0.257 |
0.250 |
|
|
Kriging model |
Ordinary |
Ordinary |
Ordinary |
Ordinary |
Universal |
Ordinary |
|
|
Transform data |
No |
No |
No |
No |
No |
No |
|
|
Trend Removal |
No |
No |
No |
No |
Yes |
No |
|
|
Searching Neighborhood |
Radius (m) |
9924.7 |
9509.9 |
9509.9 |
9924.7 |
9509.9 |
9924.7 |
|
Angle |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Prediction error measurements |
Mean |
0.021 |
0.005 |
0.012 |
0.005 |
0 |
-0.0004 |
|
MSE# |
0.435 |
0.302 |
0.338 |
0.157 |
0.113 |
0.102 |
|
|
Average Stand. Error |
0.4 |
0.282 |
0.308 |
0.144 |
0.11 |
0.102 |
|
|
SMSE$ |
1.09 |
1.074 |
1.098 |
1.088 |
1.015 |
1.006 |
|
|
|
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|
&sd -standard deviation;#MSE-Mean Square Error;$SMSE- standardised mean square error; |
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|
Cano et al. International Journal of Health Geographics 2007 6:36 doi:10.1186/1476-072X-6-36 |
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