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 ...
Spatial computing is guiding AI from the digital world to the physical world. With years of deep engagement, Virtual Motion ...
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 ...
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 ...
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spVelo: A New Method for Integrating Spatial and Temporal Data in RNA Velocity Analysis
Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...
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