Segmentation of model localization sub-areas by Getis statistics
Models for large areas (global models) are often biased in smaller sub-areas, even when the model is unbiased for the whole area. Localization of the global model removes the local bias, but the problem is to find homogenous sub-areas in which to localize the function. In this study, we used the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Finnish Society of Forest Science
2010-01-01
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| Series: | Silva Fennica |
| Online Access: | https://www.silvafennica.fi/article/155 |