Public research portfolio · external specialist review pending

Applied research

Wildfire risk and dynamic hazard mapping

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.

GIS case study

From static map comparison to an auditable dynamic model

Research question

How might wildfire-risk mapping represent changing environmental conditions while preserving source provenance, uncertainty, and a clear boundary between descriptive visualization and validated prediction?

Current contribution

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.

Methods represented

Spatial layer comparison, map-based communication, provenance review, uncertainty framing, and requirements analysis for a reproducible geospatial research package.

Current verification

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

What remains before a public technical release

The current source does not yet support a reproducible or validated GIS product.

Inputs

Environmental variables

Operational layers for slope, wind, fuel moisture, temperature, and humidity are absent from the current public-safe package.

Validation

Uncertainty and prediction

No predictive validation, calibrated uncertainty analysis, held-out evaluation, or causal study has been established.

Reproducibility

Sources, transforms, and rights

Citations, geospatial transformations, map rights, and a fully replayable GIS package still require audit and reconstruction.

Exact nonclaims

What this page does not establish

  • No validated wildfire prediction system is claimed.
  • No claim is made that the maps improve operational decisions or outcomes.
  • No causal relationship between ETI methods and wildfire-analysis quality is claimed.
  • No public dataset, code repository, or reproducible GIS archive is currently available.
  • No permission or licensing claim is made for source illustrations in the internal case document.

Employer relevance

Transferable applied-research practice

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.

See the verification method