Skip to content
Check out my latest projects!

Type to search, or pick a filter.

navigate open

GIS Analyst & Data Scientist

Spatial analysis.Real insights.

I buildgeospatial analyses, remote sensing workflows, data-driven insights, GIS applications

I turn satellite imagery, fire perimeters, and messy field data into models people can actually decide something with — mostly around wildfire risk in the wildland-urban interface.

Noah Weidig
Papers & Talks
29+Papers & Talks
Years Research Experience
8+Years Research Experience
Tools Mastered
20+Tools Mastered
Featured Projects
6Featured Projects

Worked with

Research areas

Where I focus my work

Remote Sensing & 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
Census road network layer rendered in Google Earth Engine
TIGER roads · Google Earth Engine

Land-Use Change & 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
Wildland–urban interface wildfire risk surface
WUI wildfire risk · thesis chapter 2

Spatial Data Science & 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
Statistical charts from the DataViz gallery
Posterior summaries · R + Plotly

Applied AI & 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
MapLab, a simplified GIS interface
MapLab · GIS for non-GIS users

Biodiversity & 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
Interactive map gallery
Habitat suitability · map gallery

Geospatial Engineering & Open Data

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
fireR package documentation
fireR · R package for U.S. fire data

Selected work

Tools, maps & applications

Browse all projects
Featured

FastStats

Fast, Client-side Analytics

Data Science
Featured

Map Explorer

A Collection of Interactive Maps

Geospatial
Featured

GIS Convert

Browser-Based GIS File Conversion With No Upload

Geospatial
Featured

MapLab

A Simple GIS Software for Non-GIS Users

Geospatial
Featured

ChartifyR

Tutorials for Data Analysis & Viz

RData Science

Publications

Peer-reviewed & in review

All publications

Tech stack

Technologies I use to build things

RPythonJavaScriptSQLMarkdownLaTeXHTMLCSSGitGitHubActionsCondatidyversepandasNumPyPlotlyArcGIS ProGEEQGISGDALsfterraGeoPandasOSM

Background

Where I've worked and studied

Recognition

Featured awards

All awards

Writing

Notes & tutorials

Read more posts

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.

Open to data science & GIS roles

Let's talk about spatial problems worth solving.

I'm looking for data scientist and GIS analyst roles where rigorous spatial analysis drives real decisions. If that's the kind of work your team is doing, let's talk.

  • Orlando, FL · Remote-friendly
  • Data science, GIS & applied AI
  • Replies within 24 hours

Prefer email? Reach me directly at noah@noahweidig.com

Orlando, Florida · UTC-528.5384° N, 81.3789° W