I’m a 3rd-year Data Science student at the University of Santo Tomas. Right now, I’m deep into my thesis which focuses on urban analytics and mapping accessibility in Quezon City. I mostly work with Python and Machine Learning, but I also have experience with Next.js from some of my software engineering projects. I’m looking to know more what I can learn about spatial data to real-world open-source tools.
What do you want to learn / contribute
I’m comfortable with Python and data analysis, but I’m completely new to the OSGeo ecosystem and tools like pgRouting or QGIS. I want to use GSoC as a way to learn how these industry-standard geospatial tools are built from the ground up. Hopefully my interest in urban mobility research can eventually help me contribute to the codebase and make these tools better for other beginners like me.
I need an OSGeo account for the following (ctrl+click all that apply)
I’ve been looking into the GSoC projects for OSGeo and I have an idea I’d love to get some feedback on.
I want to build a plugin called Q-Access that brings that workflow directly into the QGIS interface. The goal is to let a user pick a study area, define some POIs like schools or hospitals from OSM tags, and have the plugin calculate the accessibility scores on the fly.
I’m planning to use OSMnx and NetworkX for the heavy lifting and QgsTask to make sure the UI stays responsive during the calculations. I think it fits well into the 175-hour slot, and I’m already using the city from my thesis as my test case to make sure it handles high-density urban data well.