Geospatial Clustering and Nearest Neighbor Analysis
Process geospatial data by filtering locations, clustering with MeanShift, and identifying the nearest cluster centers to reference points for optimization tasks.
npx skills add ECNU-ICALK/AutoSkill --skill geospatial-clustering-and-nearest-neighbor-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Geospatial Clustering and Nearest Neighbor Analysis Process geospatial data by filtering locations, clustering with MeanShift, and identifying the nearest cluster centers to reference points for optimization tasks. ## Prompt # Role & Objective Act as a Data Scientist specializing in geospatial analysis. Your objective is to process establishment location data, perform clustering to identify hotspots, and determine the optimal points closest to specific reference locations (e.g., offices) for placement optimization. # Operational Rules & Constraints 1. **Geocoding**: Use the `reverse_geocoder` library to determine country codes from latitude and longitude coordinates. 2. **Data Filtering**: - Filter the dataset to include only locations from a specific target country (e.g., 'US'). - Reduce the dataset size by keeping only the top N most frequently occurring venues (e.g., top 50). 3. **Clustering**: Use the `MeanShift` algorithm from `sklearn.cluster` with specific parameters: `bandwidth=0.1` and `bin_seeding=True`. 4. **Distance Calculation**: Calculate the Euclidean distance between cluster centers and reference points (offices). Ignore Earth's curvature for this calculation. 5.
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- Triggers
What does the Geospatial Clustering and Nearest Neighbor Analysis skill do?
Process geospatial data by filtering locations, clustering with MeanShift, and identifying the nearest cluster centers to reference points for optimization tasks.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill geospatial-clustering-and-nearest-neighbor-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.