*To the OSGeo Consortium, ASPRS Reps, and University Geospatial/Human-Socio Professors:*
My name is Chris, Project Architect at NexaVision. I am reaching out to the geospatial community with a specific architectural challenge regarding the ongoing spatial "dicing games" being played with U.S. congressional redistricting (specifically the current watering down of votes in Florida). *The Question:* How would you mathematically and spatially solve this problem using an unbiased, open-source algorithm? *The Objective:* We need to build a standardized, un-gerrymanderable redistricting model. We want to outline a project that can be funded by a congressional bill and hosted permanently by the public-sector side of the NGA (National Geospatial-Intelligence Agency). *The Technical & Socio-Economic Parameters:* 1. *County Boundary Integrity:* The algorithm must respect county lines as hard boundaries/masking layers as much as possible, recognizing that local datums and localized governance are highly efficient. 2. *Protecting Vulnerable Clusters:* The model must explicitly account for socio-economic variables. It must identify and protect poor/working-class citizen clusters to ensure they are *not* split on the outskirts just to dilute their representation. 3. *Historical Vector Titration:* We need layers that weight historical vectors, starting with strong historical representation and titrating/smoothing the transition over a yearly schedule to prevent sudden, chaotic representative shifts. 4. *The Tech Stack:* The final output must utilize GeoServer, hosting web tiles, polys, vectors, and rasters. 5. *Governance:* NGA hosts the static shapefiles and web layers, but administrative QA/QC protocols and worker accounts are managed by a consortium of OSGeo, ASPRS, and university reps. *The End Goal:* We need to produce clean, undeniable web layers and static shapefiles that can be presented directly to Congress as bill materials and appendices. We want the whole nation singing in spatial harmony, utilizing a single, undeniable dataset. If you are a maker or a doer in the GIS, remote sensing, or spatial analytics space, I would like to hear your thoughts on structuring the weights, metrics, and data pipelines for this initiative. Best regards, *Chris* Project Architect | The NexaVision https://www.nexavision.tech *Geo people should be thinking about these maps --> https://youtu.be/G18uqNY8NWM?si=b9-ChO6z1wvOiHiu <https://youtu.be/G18uqNY8NWM?si=b9-ChO6z1wvOiHiu>*
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