Noah Weidig — home

Spatial analysis.Real insights.

Remote sensing, GIS, and modeling, built to support real decisions about land, risk, and infrastructure.

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Papers & Talks
31+
Years Research Experience
8+
Tools Mastered
20+
Featured Projects
6

Worked with

Papers & Talks

All publications

Journal articles, conference presentations, webinars and media coverage, by type.

All publications

Years Research Experience

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Research, GIS, and data roles across universities, a federal agency, and local government.

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Tools Mastered

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Mostly R and Python for analysis and modeling, SQL for data wrangling, and GIS tools (ArcGIS Pro, QGIS, GEE, GDAL) for spatial work.

See the tech stack

Featured Projects

Browse the work

Open tools, maps, and packages built and maintained in the open.

Browse the work

Research areas

Where I focus my work.

Earth Observation

Seeing change from orbit.

Multi-temporal satellite imagery turned into measurable change — classification, spectral indices, and time-series analysis at landscape scale in Google Earth Engine.

Imagery AnalysisGoogle Earth EngineChange Detection
Earth and cloud cover seen from the International Space Station
Earth from the ISS

Social-Ecological Systems

Where people and landscapes meet.

Modeling how development, disturbance, and policy reshape land cover, with a focus on wildfire risk in the wildland–urban interface.

Land-Use ChangeWildfire & WUIRisk Assessment
Wildfire burning on a hillside at night behind power-line towers
Wildfire at the edge of infrastructure

Statistical Modeling

Uncertainty, stated honestly.

Bayesian and spatial-statistical models that quantify what the data actually support, in reproducible pipelines anyone can rerun.

Bayesian AnalysisForecastingReproducible Research
Aerial view of crop fields in a geometric patchwork
Fields from above

Data Storytelling

Models that reach a decision-maker.

Machine learning applied to ecological and geospatial problems, paired with visualization that makes the result legible to non-specialists.

Machine LearningData VisualizationQuantitative Ecology
Aerial view of a river winding through rocky terrain
A river, seen from above

Conservation Monitoring

Mapping what lives where.

Species distribution models and habitat mapping that turn scattered occurrence records into conservation-planning inputs.

Species DistributionHabitat MappingConservation Planning
A stag with large antlers standing among trees
A stag in its forest habitat

Open Data & Tooling

Infrastructure for spatial work.

Spatial databases, automated data pipelines, and open-source GIS tooling that keep analysis fast, current, and shareable.

Spatial DatabasesData PipelinesOpen Source GIS
A laptop showing source code in a dark room
Code on screen

Selected work

Tools, maps & applications.

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Publications

Peer-reviewed & in review.

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Tech stack

Technologies I use to build things.

  • R
  • Python
  • JavaScript
  • SQL
  • Markdown
  • LaTeX
  • HTML
  • CSS
  • tidyverse
  • pandas
  • NumPy
  • Plotly
  • Conda
  • ArcGIS Pro
  • GEE
  • QGIS
  • GDAL
  • sf
  • terra
  • GeoPandas
  • OSM
  • Git
  • GitHub
  • Actions
  • Claude Code
  • Codex
  • Copilot
  • Cursor
  • Antigravity
  • Jules

Background

Where I've worked and studied.

Experience

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Education

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Recognition

Featured awards.

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Open to data science & GIS roles

Let's talk about spatial problems worth solving.

Looking for data scientist and GIS analyst roles where rigorous spatial analysis drives real decisions.

Get in touchResume(PDF, opens in a new tab)

Replies within 24 hours

or email [email protected]

FAQ

About my work.

Common questions about collaboration and what I do

What do you do?

I work at the intersection of geospatial analytics, data science, and applied AI — building reproducible workflows that turn spatial and environmental data into decision-ready insights.

What kinds of projects are you interested in?

I'm drawn to work involving remote sensing, land-use change, social-ecological systems, and data storytelling. I especially enjoy projects where rigorous analysis meets clear visual communication.

Are you open to collaboration?

Yes. I'm happy to discuss research collaborations, freelance work, and full-time opportunities in data science or GIS. The best way to start a conversation is through the contact page.

What tools do you typically work with?

Mostly R and Python for analysis and modeling, alongside SQL for data wrangling and a range of GIS tools (ArcGIS Pro, QGIS, GEE, GDAL) for spatial work. See the tech stack section for the full toolkit.

How can I get in touch?

Email is the easiest — you'll find it on the contact page.