Robust Presence-Background Flood Susceptibility Mapping: Jolo Island Reproducibility Package
Authors/Creators
- 1. College of Computing Studies, Mindanao State University-Sulu, Philippines
Description
Reproducibility materials for robust presence-background flood susceptibility mapping on Jolo Island, Philippines.
Version v1.1.0 preserves the original occurrence, background, model-diagnostic, uncertainty, external-concordance, raster, figure, and code outputs and adds background-size, exclusion-radius, regularization, spatial-thinning, disjoint-background leave-one-presence-out (LOPO), recent-evidence sensitivity, positional-uncertainty, occurrence-provenance, and event-label-feasibility analyses supporting the revised manuscript.
The release is intended to support transparent audit and reproduction of the study's presence-background modeling, validation, uncertainty, and robustness analyses under sparse and spatially clustered flood observations.
Notes
Files
explainable-presence-background-flood-susceptibility-jolo_v1.1.0.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/Remagorp2016/explainable-presence-background-geoai-flood-susceptibility/tree/v1.0.1 (URL)