AWS
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CCliffordAnderson
Last edited Feb 23, 2018
Created on Feb 23, 2018
This example shows a geographic map overlaid with a force-directed network graph of image labels detected from an AWS-hosted image. The visualization uses the AWS CLI with the Rekognition `detect-labels` API to extract labels from an S3 object, which are then positioned using `d3.forceSimulation`. Label nodes connect based on co-occurrence, with the map providing spatial context. The code relies on D3.js for graph layout and projection, pulling data from the S3 bucket `vulibrary-special-collections` via the `aws.bash` script. The rendering links detected terms to their relative geographic locations, creating an interactive spatial-semantic map.
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