DocumentCode
3574192
Title
Using STOQS (The spatial temporal oceanographic query system) to manage, visualize, and understand AUV, glider, and mooring data
Author
McCann, Mike ; Schramm, Rich ; Cline, Danelle ; Michisaki, Reiko ; Harvey, Julio ; Ryan, John
Author_Institution
Monterey Bay Aquarium Res. Inst. (MBARI), Moss Landing, CA, USA
fYear
2014
Firstpage
1
Lastpage
10
Abstract
The Monterey Bay Aquarium Research Institute (MBARI) uses the Spatial Temporal Oceanographic Query System (STOQS) to manage data from its muli-platform observational campaigns. By using geospatial relational database technology STOQS solves the fundamental problem of providing efficient access to mobile platform data, while also handling in situ measurements from stationary platforms. Because it embraces existing standards and conventions it easily integrates into existing workflows. STOQS includes a modern web-based user interface providing sophisticated tools for deep exploration of multidisciplinary data sets. Direct programmatic access using the Python programming language allows for detailed visualization and analysis of large and diverse data sets. STOQS is a 100% open source project, free for anyone to use.
Keywords
autonomous underwater vehicles; data visualisation; geophysics computing; graphical user interfaces; mobile computing; oceanographic techniques; public domain software; query processing; relational databases; visual databases; AUV; Python programming language; STOQS; Web-based user interface; data management; data set analysis; data visualization; direct programmatic access; geospatial relational database technology; glider; mobile platform data; mooring data; muliplatform observational campaigns; multidisciplinary data sets; open source project; spatial temporal oceanographic query system; stationary platforms; Data visualization; Databases; Geospatial analysis; Sea measurements; Standards; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomous Underwater Vehicles (AUV), 2014 IEEE/OES
Print_ISBN
978-1-4799-4345-6
Type
conf
DOI
10.1109/AUV.2014.7054414
Filename
7054414
Link To Document