NOTE

This project has relocated to https://github.com/ict4eo/eo4vistrails !

Current work is focused on ensuring compatibility with Vistrails 2.x and QGIS 2.x.

Project Vision

EO4VisTrails adds spatial and temporal data access, data pre-processing and data analysis capabilities to VisTrails, the Python scientific workflow tool. This includes cloud, analytics and standards-based spatial data access.

Current data modules allow access to OGC Web Services, such as WFS, WMS, SOS, as well as other spatial data sources, including PostGIS databases and netCDF datacubes. Additional modules provides wrappers around standard R, Octave and SQL scripts for data analysis capabilities. Spatial data can be visualised using a mapping module (via the QGIS API), as well as more conventional plots, for example, for time-series and windrose data.

Parallel and distributed processing for VisTrails will also be possible via the RPyC package.

Project Status

Obviously we can't achieve all of this at once! The following wiki pages give some indication of where we are now and where we hope to be in the near future.

• Features
• Future Roadmap
• Version 1.0 Roadmap

Getting Started

If you want to get started with EO4VisTrails here are some wiki pages that may help.

• Installation

• Frequently Asked Questions

• Online Documentation (under construction)

Developers

For developers of modules that extend or add to EO4VisTrails

• Project Documentation
• Guidelines