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Rasdaman Documentation
We believe that good documentation is probably the single most important thing for a successful project. We work hard on high quality documentation - you can help us by letting us know about areas that are unclear, helpful additions, etc.
Note: if you are interested in geo data management specifically, you want to look at installation and then jump here.
Installation and Administration
To install and setup rasdaman start here.
Array Query Programming
If you want to work directly with the rasdaman array query language, rasql, you find ample documentation and examples. Specifically for geo data management, however, your preferred API will be the OGC standards conformant Web service described below.
- Query Language Guide for rasql; query examples therein rely on the demo data, delivered with rasdaman, which can be inserted through
rasdaman_insertdemo.sh. Hence, all examples can be readily run. - C++ Development Guide
- Java Development Guide
- rasdaman Web Client Toolkit Developer Guide
Tuning Guide
Versions and Testing
- The Versions page lists changes made between successive versions released.
- Automated tests are available with the rasdaman system tests.
- Debugging and Benchmarking Support
Data Analytics
- RRasdaman Tutorial for R package for rasdaman
- Python: RasdaPy Python package; OWSLib fork with WCPS support
- rasdaman Web Client Toolkit
Geo Data Management
In order to use rasdaman for geo raster management - in particular: spatio-temporal geo datacubes - consult these documentation pages:
