Building a QGIS…
Developing a custom QGIS plugin is the best way to bridge the gap between raw data and professional analysis. In this post, I explore the creation of HydroKrig, a QGIS plugin designed to perform spatial interpolation using the PyKrige library directly within a PyQt interface. The Developer's Toolkit: Prerequisites Before diving into the code, we needs a solid environment. To build HydroKrig, I relied on two essential plugins that streamline the workflow: Plugin Builder 3: It generates the base structure of the plugin (folders, resources, and boilerplate code) so you can focus on the logic. Plugin Reloader: It allows you to apply changes to your Python code and see the results instantly in QGIS with a single click, without having to restart the entire software. QGIS Plugin Builder interface The Interface: Designing with Qt Designer The first step was building a functional UI. Using Qt Designer, I created a dialog box that allows users to interact with their GIS data. The heart of the…