Hi, I’m Kamyar
I’m an adjunct professor in Urban Informatics, lecturer in Geoinformatics, specialized in data science and GIS. I'm passionate about helping people understand the world through maps, data, and code. Over the years, I’ve worked in applied GIS field, exploring how we move, experience, and shape cities — but my biggest motivation has always been simple:
To make spatial thinking accessible, human, and fun.
That’s why I started MapSyntax — to turn complex geospatial concepts into clear, practical lessons that anyone can follow.
What is MapSyntax?
MapSyntax is an educational project — part channel, part lab, part creative playground. It’s where I share tutorials, explanations, and ideas that make GIS and data science less intimidating and more engaging.
Whether you’re a beginner or already working in the field, you’ll find something here for you. We go hands-on with mapping, spatial analysis, statistics, automation, and Python programming — all explained step-by-step, clearly, and with a bit of curiosity and fun.
Most of what I teach uses open-source tools like Python and QGIS, but you’ll also find practical tips for platforms like ArcGIS. And beyond tutorials, I explore theory, GeoAI, and the latest trends shaping the future of geospatial analysis.
My Approach
I know how confusing GIS and programming can feel at first — I’ve been there too. I didn’t start as an expert; I built my skills gradually through persistence and experimentation.
Now, I want to pass that experience forward. My approach combines:
Clear, structured learning — turning technical topics into understandable steps.
Hands-on problem solving — building skills through real-world GIS challenges.
Innovation and curiosity — exploring new directions like AI in geospatial science.
Open education — sharing resources freely to make geoinformatics accessible for everyone.
Beyond Research
When I’m not analyzing spatial data or teaching, I enjoy creating stories through maps and visuals. The MapSyntax YouTube channel is where that passion comes alive — blending education with creativity to show how maps and code can reveal the hidden logic of our world.
