TOWARDS A 3D WEB TOOL FOR VISUALIZATION AND SIMULATION OF URBAN FLOODING: THE CASE OF METROPOLITAN CITIES IN CAMEROON
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Today, 3D geo visualization of flood data is perceived as a more realistic and detailed solution for making decisions regarding flood mitigation and adaptation measures.In this paper, after a multi-criteria comparative study of four virtual globes used in the visualization of geospatial flood data, it is found that CesiumJS stands out the most from the other solutions, with a score close to 100% on all criteria grouped in 4 categories (Visualization, Interaction, Quality of support and Experiences).Using CesiumJS and other libraries, we proposed a 3D web solution to dynamically simulate and visualize floods in urban areas of Cameroon.The main objective of this tool is to strongly involve water experts, policymakers and the general public in flood management.Without considering a precise 3D city model, this tool, however, represents a good compromise between the quality of flood management and the cost of better Flood Management by an expert.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it