Elevation-Dependent Multiscale Analysis of a Complex Intertidal Zone
Bibliographic record
Abstract
Horne, P.; Suteanu, C.; van Proosdij, D., and Baker, G., 2013. Elevation-dependent multiscale analysis of a complex intertidal zone. Coastal geomorphology is the result of many complex interacting processes operating over a range of scales in space, and multiscale analysis on relevant scale intervals can help link form with process. Numerous studies focus on lines resulting from the intersection of a plane at a certain elevation with the three-dimensional landscape. However, in most cases, the reason for the choice of the actual elevation is not mentioned, nor at times is the value of the selected elevation even specified. Such an approach relies on the assumption that one studies an isotropic, self-affine pattern for which the irregularity is independent from elevation. The present study questions this assumption by applying fractal analysis not to one, but rather to a series of different elevations relating to tidal stages. The research takes place in a macrotidal estuary, in the Upper Bay of Fundy, Canada, where diurnal tides exceed 14 m. The topography of Avon Estuary is influenced by complex interacting factors, including hydrodynamic and sedimentary processes, vegetation, and ice formations, as well as by anthropogenic structures. The area–perimeter analysis method was applied to 0.5-m contour intervals on a digital elevation model derived from a light detection and ranging survey conducted at low tide. The results show a pronounced and coherent dependence of the fractal dimension on elevation. Fractal dimensions between 1.2 and 1.17 are generally associated with sand sediment transport and bedform development at elevation ranges from −5 to −1 m Canadian Geodetic vertical datum of 1928. Between D values 1.7 and 1.12 at elevations from −0.5 to 2.5 m CGVD28, vertical accretion processes dominate with bank edge erosion. D values continue to increase above elevations greater than 3 m as vegetation becomes established and stabilizes the intricate tidal creek networks. We show that this approach supports a better understanding of the interacting processes that dominate the area on different ranges of scale.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".