Exploring the potential impacts of anthropogenic heating on urban climate during heatwaves. [PDF]
Khan A, Vasilakopoulou K, Santamouris M.
europepmc +1 more source
Tubes or Ribbons? Comparing Texture‐space Visualization for Multivariate Line Data
Abstract Multivariate line data is critical for analyzing flow fields, agent systems, and dynamic trajectories. Embedding secondary variables along spatial paths using surface‐based primitives such as ribbons and circular tubes introduces challenges related to perspective, scale, and distortion.
B. Russig +3 more
wiley +1 more source
Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study. [PDF]
Makar PA +26 more
europepmc +1 more source
Individualized Pathfinding in Rugged Open Terrains Using Semantic Navigation Meshes
We introduce semantic navigation meshes for complex outdoor terrains, partitioning space into regions with coherent semantic properties like slope or vegetation density. The resulting graphs enable efficient pathfinding with agent‐specific, parameterized cost functions without precomputation, accelerating search while maintaining path quality close to ...
C. Creus, N. Pelechano, O. Argudo
wiley +1 more source
The emerging contribution of Tigris Euphrates basin dust emissions to extreme dust activity over the Arabian Peninsula. [PDF]
Gandham H +5 more
europepmc +1 more source
Perceived costs as drivers of wildlife management preferences in rural Tanzanian communities
Abstract Effectively managing human–wildlife interactions is crucial for fostering coexistence on shared landscapes. Management options are most effective when aligned with the preferences of people directly affected by wildlife, yet little is known about how socioecological factors influence these preferences.
Christian Kiffner +10 more
wiley +1 more source
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
Source Analysis of Ozone Pollution in Liaoyuan City's Atmosphere Based on Machine Learning Models and HYSPLIT Clustering Method. [PDF]
Zou X, Li X, Wang D, Wang J.
europepmc +1 more source
Reduced aerosol pollution diminished cloud reflectivity over the North Atlantic and Northeast Pacific. [PDF]
von Salzen K +8 more
europepmc +1 more source

