Development of applications that combine GIS capabilities with machine learning, AI models, and spatial data workflows.
Systems can include spatial databases, maps, AI models, analysis tools, APIs, interactive interfaces, and automated workflows.
Applications include environmental information systems, biodiversity platforms, planning systems, and scientific GIS applications.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.