Last active
March 4, 2017 20:03
-
-
Save sjkillen/1d7704bf8bfc3826ef6dab180fbc93ae to your computer and use it in GitHub Desktop.
ETS geo-interpolater research
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| More effiecent or accurate | |
| # Spot on | |
| http://www.sciencedirect.com/science/article/pii/S0968090X03000238 | |
| # Probably not that useful | |
| http://jeb.biologists.org/content/209/1/128.short |
TRAVIC
Spatial-temporal bounding box
Requests are made every 15 seconds, and everytime user drags mouse
Requests are .5 - 1 KB
Improvements
Adapt data based on network
Not really clear how they're rendering canvas (webgl or 2D)
Probably doesn't use 3D. It creates a context but doesn't use it???
Does it account for network delay?
DOES ETS HAVE STATIC DATA ALREAY?
What format is reltime data in
Transforming geo coord to route % much less data to send
^ neural netowrk
http://dl.acm.org.ezproxy.macewan.ca/citation.cfm?id=1315519
Database level
ISO morphic, both client and server running predication algorithms. only the server grabs data from source. only send to client if server knows their algorithm will make mistakes
- Network level
- Minimize data passed
- isomorphic
- time synchronization
- Visualization level
- Maximize the amount of data that can be shown
- Effectively query data
- DB level ?
- Frame data that the user is looking at, temporal-spatial queries
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Mobile clients
Time Synchronization
http://dl.acm.org.ezproxy.macewan.ca/citation.cfm?id=2666369
Mentioned in Future work