Application of the nested iteration method for automated mapping

<ns0:p>The article considers a method for automating the creation of a series of cartographic materials based on the integration of QGIS Atlas tools and the Python programming language. The study aims to optimize the preparation process of multi-page thematic atlases for large spatial datasets. An original method of nested iteration has been applied, which allows for dynamic changes not only in the spatial extent but also in the semantic styling of the display for each individual object. A key element is the developed algorithm based on the processing of the featureChanged event, which ensures automatic synchronization of district attributes with the corresponding .qml style files. The model was tested on a dataset exceeding 20,000 contours.The testing results confirmed the high efficiency of the method. The speed of map series generation increased approximately 20-fold compared to traditional methods, while completely eliminating subjective visualization errors. The proposed approach represents a universal methodological platform for the automated transformation of complex spatial datasets into high-precision graphical models. This solution provides the capability for rapid presentation of multifactor research results in any field requiring a combination of high-intensity processing of large datasets with adherence to individual visual interpretation parameters for each unique system element.Received: 06.05.2026;Accepted: 02.06.2026;</ns0:p>