site-selection

Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.

KnowSite: Leveraging Urban Knowledge Graph for Site Selection

Coco provides a fast, exact method to solve variations of the Reserve Selection problem including connectivity. It provides a python implementation using the Gurobi ILP solver

Multi-criteria site selection for coffee shops across 42 Jakarta districts and how OpenStreetMap coverage bias broke the first model.

Land acquisition intelligence skill for Claude — score parcels for datacenters, warehouses, solar farms, and industrial sites using free ArcGIS/OSM data

Optimal site selection for schools using Genetic Algorithms (GA) and geospatial analysis — Python, numpy, and geographical data for decision support.

Streamlit tool for retail real-estate site selection — glass-box scoring, BAFU flood risk, leasehold pro-forma & portfolio management, on open data (OSM · Swiss BFS · BAFU). Reference brand: On.

CE480 coastal structures homework: GIS-based site selection study with report and figures

能做吗？勇哥 NengZuoMa YongGe | 开店验铺 Agent Skill | 餐饮选址·加盟避坑·保本线 | nengzuoma-yongge

A platform for supporting onshore wind farm siting in Australia

Open academic biomethane site-screening model and interactive explorer for Spain

Reproducible dark-store site selection, scorecard validation, and unit-economics analysis from a Top-50 Meituan case.

GIS screening model ranking Warsaw real estate development opportunity zones using OSM, Python/GeoPandas, and QGIS.

Modular EU geospatial site-suitability scorer for AI Gigafactories — Streamlit + CLI, 15+ public-dataset loaders

Ranking where Seoul should install outdoor smoking booths — random forest feature importance over a 500 m GIS grid, reproducible end to end

AI-driven dealership site selection system using IRS ZIP-level income data, Random Forest ML, and hybrid decision scoring to identify high-value luxury automotive markets across the US.

Geospatial site-selection tool that scores neighborhoods on demand vs. supply using Census, OSM, and LODES data.