5. DAT for Julia¶
The Data Analytics Toolkit (DAT) for Julia is hosted in CABLAB’s github repository and is developed in close interaction with the scientific community. Here we give a short overview on the capabilities of the Julia DAT, but we would refer to the official documentation for a more detailed and frequently updated software description.
The current implementation of the Julia DAT consists of 3 parts:
- A collection of analysis functions that can be applied to the ESDC
- Functions for visualizing time-series and spatial maps
- A function to register custom functions to be applied on the cube
1. Collection of analysis functions
We provide several methods to perform basic statistical analyses on the ESDC. In a typical workflow, the user wants to apply some function (e.g. a time series analysis) on all points of the cube. In other systems this would mean that the user must write some loop that reads chunks of data, applies the function, stores the result and then read the next chunk of data etc. In the Julia DAT, this is done automatically, the user just calls e.g. mapCube(removeMSC,mycube) and the mean seasonal cycle will be subtracted from all individual time series contained in the selected cube.
In Analysis one can find a list of all currently implemented DAT methods.
2. Visualisation of the ESDC
For a convenient and interactive visual inspection of the ESDC five plotting functions are available:
- plotXY for scatterplotd or bar plots along a single axis
- plotTS like plotXY but the x axis set to TimeAxis by default
- plotScatter for scatter plots of two elements from the same axis, e.g. of two Variables
- plotMAP for generic map plots
- plotMAPRGB for RGB-like maps plots where different variables can be mapped to the plot color channels
For examples and a detailed description of the plotting functions, see Plotting
3. Adding user functions into the DAT
Users can add custom functions to the DAT for individual sessions. This is described in detail in the adding_new chapter of the manual.