Abstract:
In this presentation, we introduce GeoShop – an open-source, e-commerce-like application that we use in projects to facilitate the ordering of geospatial data from GIS systems. Using real-world examples, we will demonstrate how this Django-based application can be used to handle both free of fee and chargeable data orders from various geospatial data infrastructures. Additionally, we present Extract, another open-source solution designed to orchestrate data extractions from data providers. Extract is necessary to the correct working of GeoShop.

Description:
GeoShop is an e-commerce-like application that enables the ordering of geospatial data from a GIS system. In the present context, it is used with various WebGIS services. However, GeoShop can also be integrated with other applications that do not necessarily include a map viewer.
GeoShop allows the offering and sale of diverse geospatial data packages in various formats, such as vector data, 2D and 3D datasets, plans, maps, and aerial images – all just a few clicks away and available within minutes. Open data products can be provided free of charge. Furthermore, data can be supplied according to different pricing models.

While GeoShop manages the ordering process, the actual data extraction is handled by Extract, an open-source Java-based solution. Extract listens to the orders placed on GeoShop and executes data extractions using GDAL scripts or other custom extraction processes. The extracted data is then uploaded back to GeoShop, ready for download by the user.
This architecture enables multiple data providers to connect to the same GeoShop instance while maintaining full control over their data and extraction processes. Each provider can manage their own extraction scripts and infrastructure, ensuring flexibility and security. The ordering process of geospatial data is automated, therefore minimizing the need for manual data handling, except in highly specific cases.

During the development phase, significant resources were invested in optimizing performance and user experience, thanks to the initiative of the Geoinformatics Service of the Canton of Neuchâtel, Switzerland. They donated the code as an open-source project to Camptocamp SA for further development.