After mapping where renewable energy and carbon storage geology naturally align for Direct Air Capture (DAC) in Part 1, I […]
Breathing Room: Mapping the Natural Feasibility of Direct Air Capture
In this second phase of my CCS suitability analysis, I shifted focus from hypothetical modeling to something more grounded: where […]
Breathing Room – Mapping the Future of Carbon Capture
Carbon capture and storage (CCS) is often hailed as a critical tool in the fight against climate change. But not […]
Coding for the Forest: What I Learned Using Python with ArcGIS (as a Beginner)
When I started my reforestation suitability model, I had a clear goal: identify the best areas for replanting trees using […]
Coding for the Forest: My Journey Building a Reforestation Suitability Model with Python & GIS
Introduction I’ve always had a deep appreciation for forests and the role they play in maintaining our planet’s health. But […]
Revisiting my Quebec Wildfires project with Python: The Numbers Surprised Me
As I continue learning how to use Python with ArcGIS, I decided to revisit my previous Wildfires Project, with one […]
Coding for the Forest: Choosing My Reforestation Study Area
When I began this project, I knew I wanted to build a GIS model that could help identify the best […]
Coding for the Forest: Building a Reforestation Suitability Model
When it comes to restoring forests, one of the most important questions to ask is: Where should we focus our […]
The Final Decision: Building the US Jedi Temple in Oakland, California
After analyzing crime data, land use patterns, and other key statistics, I have determined that Oakland, California, is the best […]