
Developed and delivered the Panoramax Street View integration for the MapStore2 repository, enabling users to interactively retrieve and view panoramic imagery directly from MVT map layers. The implementation involved integrating OpenLayers for RenderFeature detection, wiring data retrieval flows from both layer data and external APIs, and building a viewer based on pnx-photo-viewer. The project included internationalizing UI messages across multiple languages and refining code quality through style and ESLint alignment. Using JavaScript and React, the work enhanced map-based data exploration and decision support, while collaborative development ensured robust feature delivery and maintainability within the MapStore2 codebase.
April 2026 — Panoramax Street View integration for MapStore2 delivered interactive panorama retrieval from MVT layers, enabling map-based panorama viewing. Implemented detection for RenderFeature, added Panoramax VectorTileLayer, and a pnx-photo-viewer-based viewer. Data retrieval flows were wired to fetch from layer data or API, with internationalized UI messages. Cleanups included removing an unused DEFAULT_SRS constant and style fixes for RenderFeature; ESLint alignment across related files. This feature enhances data exploration and decision support by letting users inspect panoramic imagery directly from map features. Collaborative effort co-authored by Lorenzo Natali.
April 2026 — Panoramax Street View integration for MapStore2 delivered interactive panorama retrieval from MVT layers, enabling map-based panorama viewing. Implemented detection for RenderFeature, added Panoramax VectorTileLayer, and a pnx-photo-viewer-based viewer. Data retrieval flows were wired to fetch from layer data or API, with internationalized UI messages. Cleanups included removing an unused DEFAULT_SRS constant and style fixes for RenderFeature; ESLint alignment across related files. This feature enhances data exploration and decision support by letting users inspect panoramic imagery directly from map features. Collaborative effort co-authored by Lorenzo Natali.

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