Environmental variables
Operational layers for slope, wind, fuel moisture, temperature, and humidity are absent from the current public-safe package.
Applied research
A public-safe case summary about communicating changing wildfire hazard through geospatial layers. The current work is descriptive and exploratory, with substantial validation and reproducibility work still required.
How might wildfire-risk mapping represent changing environmental conditions while preserving source provenance, uncertainty, and a clear boundary between descriptive visualization and validated prediction?
The source case study compares ArcGIS-based hazard views and frames a workflow for interpreting risk layers over time. Its portfolio value is the problem formulation, GIS reasoning, and explicit audit of what must be added before operational or predictive use.
Spatial layer comparison, map-based communication, provenance review, uncertainty framing, and requirements analysis for a reproducible geospatial research package.
The portfolio audit identified missing model inputs, validation, citations, transformation records, and rights checks. That audit constrains the public claims; it does not validate a hazard model.
Evidence gaps
The current source does not yet support a reproducible or validated GIS product.
Operational layers for slope, wind, fuel moisture, temperature, and humidity are absent from the current public-safe package.
No predictive validation, calibrated uncertainty analysis, held-out evaluation, or causal study has been established.
Citations, geospatial transformations, map rights, and a fully replayable GIS package still require audit and reconstruction.
Exact nonclaims
Employer relevance
The case demonstrates geospatial problem framing, evidence-gap analysis, public-safety judgment, and the ability to turn an exploratory artifact into a concrete validation and reproducibility roadmap.