Carpentry workshop: Working with Spatio-temporal data in Python
Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing.
This one-day workshop will introduce you to Python for analyzing and visualizing spatial-temporal data. We will be using datasets from the environmental sciences that are freely available.
We will learn:
- how to identify some of the most common data formats (raster formats) in environmental Sciences i.e. netCDF and HDF (HDF-EOS and HDF5), GeoTIFF.
- How to view the content of these binary files
- How to identify the provenance and explore metadata
- How to organise your data and develop a simple data management plan to ease your work
- How to access and process data in commonly used raster formats such as GeoTIFF, HDF-EOS, HDF5 and netCDF.
- How to combine them with vector datasets such as ESRI Shapefile and GeoJSON.
The meaning of these terms will become clear as we work through the python notebooks.