Supplementary material to "Spatialize v1.0: A Python/C++ Library for Ensemble Spatial Interpolation"
Year: 2025
Type: supplementary-materials
Abstract: ax (matplotlib.axes.Axes, optional): The Axes object to render the plot on.If None, a new Axes object is created.* w (int, optional): The width of the image (if the data is reshaped).* h (int, optional): The height of the image (if the data is reshaped).* **figargs (optional): Additional keyword arguments passed to the figure creation (e.g., DPI, figure size).• plot_precision: Plots the precision using matplotlib.If the precision has not been computed yet, it calls the self.precision()method to calculate it. -Signature:def plot_precision(ax, w, h, **figargs)-Parameters:* ax (matplotlib.axes.Axes, optional): The Axes object where the precision plot will be rendered.If None, a new Axes object will be created.* w (int, optional): The width of the image (if the data is reshaped).* h (int, optional): The height of the image (if the data is reshaped).* **figargs (optional): Additional keyword arguments passed to the figure creation (e.g., DPI, figure size).• quick_plot: Creates a quick, side-by-side plot of the estimation and precision using matplotlib.It uses self.plot_estimation() and self.plot_precision() to render the plots.The figure is returned for further use or display.-Signature: def quick_plot(w, h, **figargs) -Parameters: * w (int, optional): The width of the image (if the data is reshaped).* h (int, optional): The height of the image (if the data is reshaped).* **figargs (optional): Additional keyword arguments passed to the figure creation (e.g., DPI, figure size).
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4413802835