GIS Analyst • Geospatial Developer • ArcGIS Pro SDK • Spatial Software Engineering

I am a GIS analyst and geospatial software developer focused on building tools that connect enterprise GIS systems, cloud geospatial infrastructure, and emerging GeoAI workflows.

My work focuses on:

• ArcGIS Pro SDK development
• Python geospatial automation
• spatial ETL and QA/QC pipelines
• geospatial web applications
• cloud-native geospatial data systems
• AI-assisted spatial tooling

Many of my projects explore how modern developer tooling and AI workflows can improve the durability and usability of GIS systems.

Used in projects where performance or scientific tooling is required.

• Rust — high-performance geospatial computation
• R — spatial statistics and analytical workflows

Projection distortion diagnostics and cartographic analysis tooling.

Repository
https://github.com/chrislyonsKY/tissot

Distribution

• Python package published on PyPI
• QGIS Processing plugin

Capabilities

• Tissot ellipse distortion visualization
• projection distortion diagnostics
• cartographic linting
• spatial dataset comparison
• automated cartographic QA workflows

Architecture

Cloud-native geospatial processing framework.

FaultLine explores modern geospatial pipeline design for moving datasets between:

• enterprise GIS systems
• cloud object storage
• web applications
• spatial processing environments

The project focuses on building reusable components for:

• spatial ETL
• dataset validation
• geospatial pipeline orchestration
• automated QA workflows

Repository
https://github.com/chrislyonsKY/geoflow-stac-mcp

Agent-enabled geospatial data orchestration built around STAC catalogs and MCP server architecture.

Capabilities

• STAC dataset discovery
• natural language dataset querying
• geospatial data retrieval pipelines
• AI tool integration
• cloud raster and vector workflows

This project explores how AI tooling and geospatial data catalogs can work together in modern spatial systems.

I develop ArcGIS Pro add-ins and geoprocessing tools that support enterprise GIS workflows.

Typical capabilities include:

• georeferencing workflows
• spatial validation
• metadata generation
• automated QA/QC pipelines
• geodatabase tooling

Technologies used

• ArcGIS Pro SDK
• C#
• Python / ArcPy

Open geospatial software and experimentation. Focus areas include:

• cloud geospatial tooling
• geospatial developer libraries
• spatial data infrastructure
• GeoAI experimentation
• spatial software architecture

I publish Chris Lyons Dispatch, a technical newsletter focused on:

• geospatial software engineering
• GIS modernization
• GeoAI
• spatial tooling architecture

Website
https://chrislyonsky.github.io

LinkedIn
https://linkedin.com/in/williamclyons

GitHub
https://github.com/chrislyonsKY

Unless otherwise stated, repositories are released under the MIT License.