Automated Geo-Visualization Prep Sheet with Tile Indexing

Seed: GeoData table with lat, lon, metric; Output: tile_key via floor((lat+90)/tile_size) & floor((lon+180)/tile_size) and aggregate metrics by tile

Implementation Guide

This sheet prepares spatial data for tiled map visualizations by transforming latitude/longitude into tile keys, aggregating metrics per tile (sum, average), and exporting to JSON/CSV compatible with mapping libraries. It supports custom tile sizes for resolution control and includes sampling methods to anonymize sensitive location data. The workbook computes centroids, bounding boxes, and color buckets for choropleth rendering and outputs metadata for legend creation. Use this as a lightweight preprocessing stage before feeding data to GIS tools or web map APIs.

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