Geographical Gaussian Process Regression (GGPR): A Spatial Machine Learning Model Based on Spatial Similarity: defined as A-Xing Zhu et al. (2018): "The more similar geographic configurations of two ...

SOPINet is a simultaneous Ozone and PM2.5 inversion deep neural Network. This tutorials contains how to configure the SOPINet model locally and help you to quickly use the model. In addition, we ...

Abstract: Sparse and unevenly distributed soil samples across the northern high-latitude region greatly limit the accuracy of soil organic carbon (SOC) mapping. Substantial discrepancies, therefore, ...

Abstract: Spatiotemporal graph modeling aims to model temporally varying and spatially correlated information sequences in the traffic network, serving as a significant approach to capture the complex ...

The housing industry has spent the last several years trying to understand what artificial intelligence means for builders. Most of the conversation has focused on generative AI and large language ...

Simultaneously, Higharc announced an agreement with US LBM, the largest private distributor of lumber and building materials in the United States, marking the expansion of Higharc ...

Vantor, the leading provider of spatial intelligence from space to ground, today announced the launch of WorldView™ 3D, a first-of-its-kind satellite tasking product line that gives warfighters, ...

Mirage is a new video world model that skips the costly detour through pixel-based memory. That speeds up generation and keeps a scene's spatial structure stable even during long camera moves.

Homebuilding artificial intelligence startup Higharc said today it has raised $95 million in a new round of funding to ...

Ministry urges gamers to be wary of app ‘check-in locations’ that seem abnormally clustered around classified or restricted ...

Pokémon Go players voluntarily created millions of 3D scans that trained Niantic Spatial's AI models for camera-based navigation without GPS. Niantic Spatial is now partnering with US defense ...

According to MarketsandMarkets, the 3D Mapping and Modeling Market is projected to grow from USD 17.63 billion in 2026 to USD 29.20 billion ...