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| Content Provider | Springer Nature Link |
|---|---|
| Author | Orlóci, László |
| Copyright Year | 2009 |
| Abstract | The model at the basis of trajectory analysis is conceptually simple. When applied to time series vegetation data, the projectile becomes a surrogate for vegetation state, the trajectory for the evolving vegetation process, and the properties of the trajectory for the true process characteristics. Notwithstanding its simplicity, the model is well-defined under natural circumstances and easily adapted to serial vegetation data, irrespective of source. As a major advantage, compared to other models that isolate the elementary processes and probe vegetation dynamics for informative regularities on the elementary level, the trajectory model allows us to probe for regularities on the level of the highest process integrity. Theories and a data analytical methodology developed around the trajectory model are outlined, including many numerical examples. A rich list of key references and volumes of supplementary information supplied in the Web Only Appendices rounds out the presentation. |
| Starting Page | 158 |
| Ending Page | 179 |
| Page Count | 22 |
| File Format | |
| ISSN | 16733509 |
| Journal | Frontiers in Biology |
| Volume Number | 4 |
| Issue Number | 2 |
| e-ISSN | 16733622 |
| Language | English |
| Publisher | SP Higher Education Press |
| Publisher Date | 2009-03-06 |
| Publisher Institution | Chinese Universities |
| Publisher Place | Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | attractor migration determinism fractal dimension parallelism periodicity phase structure Life Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ecology Genetics Ecology, Evolution, Behavior and Systematics Biotechnology |
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