Global Forest Watch:
Everyone Has a Story | Accepting New Participants

Analyzing images

Suave

While surveys are often administered online their results typically become available only as condensed summaries reflecting key research questions. On the contrary,  SuAVE (SUrvey Analysis via Visual Exploration) allows survey administrators to publish raw data in a way that makes collaborative exploration of responses simple, engaging, and accessible by a wide group of expert and non-expert users. SuAVE has an easy-to-use and engaging analytical interface that integrates statistical analysis with advanced visualization and animation.

This tutorial shows how you can use SuAVE to analyze a collection of forest images and their metadata.

To learn more about SuAVE go to http://suave.sdsc.edu/