Getting started

The easiest way to get started is to install FLASC and then follow the examples. The correct order is:

Install FLASC

Install the repository following the instructions in installation.

FLASC examples

You can generate a demo dataset by following the examples in examples_smarteole/. The notebook 02_download_and_format_dataset.ipynb downloads data from a wake steering experiment conducted in 2019. We encourage users to step through the notebooks in examples_smarteole/ in order to develop an understanding of FLASC's capabilities using a dataset from a real field experiment.

Additional useful examples can be found in examples_artificial_data/, where we intentionally introduce "challenges" for the FLASC tools to solve using artificially-generated data. This provides a good way for users to get to know the FLASC tools in more depth. Again, we recommend stepping through the examples in the subdirectories in their numerical order.

Roughly speaking, the examples in both examples_smarteole/ and examples_artificial_data demonstrate the FLASC modules in the order:

• flasc.data_processing

• flasc.analysis

• flasc.model_fitting

and use flasc.utilities throughout.