LANZHOU, Feb. 6 (Xinhua) -- Chinese scientists have newly presented key evidence demonstrating that spatial pattern formation drives the ecological resilience of alpine marsh on the Qinghai-Tibet ...

Spatial co-location pattern mining is a sub-discipline of spatial data analysis that seeks to identify subsets of spatial features which frequently occur in close proximity. It aims to uncover the ...

Spatial intelligence, a frontier technology, is essential for AI to enable humanoids and autonomous vehicles to operate in the physical world.

Spatial metabolomics faces three primary challenges in food-medicine homology research: the "black box" of component interactions, poorly characterized spatiotemporal dynamics, and the complexity of ...

Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...

Advancements in spatial proteomics enable detailed tissue mapping, linking protein localization to disease mechanisms and ...