Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...
1. State-and-transition models (STMs) synthesize and communicate knowledge about the alternative states of an ecosystem and causes of state transitions. Data supported narrative descriptions within ...
This paper considers a class of generalized methods of moments (GMM) estimators for general dynamic panel models, allowing for weakly exogenous covariates and cross-sectional dependence due to spatial ...
Spatial computing is guiding AI from the digital world to the physical world. With years of deep engagement, Virtual Motion ...
Testing of data provided by the Second Pipeline Construction Co. of China National Petroleum Corp. (PetroChina Pipeline) shows that using a 3D pipeline spatial-data model (PSDM) not only can further ...
HANGZHOU, China, Aug. 27, 2025 /PRNewswire/ -- Manycore Tech, a global leader in 3D interior design technology and spatial computing, announced major advancements in its spatial AI model system with ...
Recent breakthroughs in AI allow robots to recognize objects, understand context, and mimic human actions. But without the ability to comprehend their physical environment, their usefulness will ...
The ROVR Open Dataset offers a new lens into human-scale navigation and environmental awareness, bridging the gap between simulation and street-level intelligence. By making this dataset openly ...
Qunhe Technology officially released the latest achievements of its spatial large model: the next-generation spatial language model SpatialLM 1.5 and the spatial generation model SpatialGen, and ...
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