Reading the cloud: Making sense of location based data
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This document discusses using location-based data and augmented reality to allow park rangers to share their experiential knowledge about various parks. It proposes a system that would allow rangers to generate knowledge attached to specific places within the parks, and for that knowledge to be overlaid and accessible to others in situ using augmented reality. This aims to make traditionally inaccessible tacit knowledge more widely available, and do so in a way that provides important contextual details about each place.
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The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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Overview
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5. Introduction to Apache Kafka and S3
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12. Jupyter Notebooks with Code Examples
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- 6. Geoknowledge Project Valuable, park specific knowledge, obtained through years of experience, is inaccessible. How can we share that knowledge?
- 9. Geoknowledge Project Knowledge People
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- 15. ?
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Editor's Notes
- This is becoming a very common problem;
- what do we do with this resource?
- Mobile computing leading to more and data being recorded with a gps coordinate
- this hints at the social nature of knowledge. It’s important to allow people to collaborate.
- AR is great for visualising data in context
- - traditional AR is about overlaying - what if you think of it as revealing information that is already there?
- what if AR could allow people to explore data too?
- visualisation isn’t the secret ingredient. We need to select the information we present carefully.
- The reflects the importance of context; where context is social meaning attached to locations.