Aims and Scope

Frontiers in Computational Spatial Intelligence likely seeks to publish interdisciplinary research that:

• Develops computational methods for spatial reasoning, including algorithms for spatial understanding, representation, and manipulation.

• Advances Geo-AI and spatial cognition, covering areas such as spatial language, navigation, robotics, and spatial data analytics.

• Integrates machine learning, graph neural networks, and related techniques to model spatial relationships and environments.

• Applies to domains like urban planning, autonomous navigation, spatial GIS, and environmental modeling.

• Emphasizes novel theoretical insights, practical computational tools, and empirical validations relevant to spatial intelligence.