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Identify GeoJSON errors in Mapping Berlin

✓ Published0🌍 Public
CCliffordAnderson
Last edited Feb 5, 2017
Created on Feb 5, 2017

This example identifies errors in GeoJSON data for a map of Berlin by piping a Cloudant view response through `jq` to extract point features and run `geojsonhint`. The command constructs a FeatureCollection from the database rows, then validates the resulting JSON structure and geometry. The visualization shows which features fail validation, using the command-line tool to highlight malformed coordinates or properties. The process relies on a gist-hosted script that queries the Cloudant database and pipes the output through `jq` before passing it to `geojsonhint` for error detection.

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