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| Content Provider | Springer Nature Link |
|---|---|
| Author | Tan, Man zhi Chen, Jie |
| Copyright Year | 2008 |
| Abstract | Hue-Saturation-Intensity (HSI) color model, a psychologically appealing color model, was employed to visualize uncertainty represented by relative prediction error based on the case of spatial prediction of pH of topsoil in the peri-urban Beijing. A two-dimensional legend was designed to accompany the visualization—vertical axis (hues) for visualizing the predicted values and horizontal axis (whiteness) for visualizing the prediction error. Moreover, different ways of visualizing uncertainty were briefly reviewed in this paper. This case study indicated that visualization of both predictions and prediction uncertainty offered a possibility to enhance visual exploration of the data uncertainty and to compare different prediction methods or predictions of totally different variables. The whitish region of the visualization map can be simply interpreted as unsatisfactory prediction results, where may need additional samples or more suitable prediction models for a better prediction results. |
| Starting Page | 319 |
| Ending Page | 322 |
| Page Count | 4 |
| File Format | |
| ISSN | 1007662X |
| Journal | Journal of Forestry Research |
| Volume Number | 19 |
| Issue Number | 4 |
| e-ISSN | 19930607 |
| Language | English |
| Publisher | Northeast Forestry University |
| Publisher Date | 2008-11-14 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Hue-Saturation-Intensity color model spatial prediction uncertainty visualization Forestry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Forestry |
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