Changes in natural forest fragmentation and their driving factors across Japan from 1985 to 2022
Forest fragmentation reduces biodiversity and ecological function. However, some regions now show signs of defragmentation, a recovery process in which forest cover becomes more continuous.
Ryoko Norishige +2 more
doaj +1 more source
Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method [PDF]
Starting from the regional air quality forecasts produced by the Copernicus Atmosphere Monitoring Service (CAMS), we propose a novel post-processing approach to improve and downscale results on a finer scale.
A. Riccio, A. Riccio, E. Chianese
doaj +1 more source
Best management practices for bee conservation in forest openings
Native bees are an ecologically diverse group of pollinators in global decline due at least in part to invasive species, pesticides, and habitat loss.
Michael J. Cunningham‐Minnick +3 more
doaj +1 more source
Evaluating PM2.5 Exposure Disparities Through Agent-Based Geospatial Modeling in an Urban Airshed
Fine particulate matter (PM2.5) poses substantial urban health risks that vary across space, time, and population vulnerability. We integrate a spatio-temporal INLA–SPDE PM2.5 field with an agent-based model (ABM) of 10,000 daily home–work commuters in ...
Daniel P. Johnson +2 more
doaj +1 more source
Climate variability in South Africa is increasingly characterised by rising temperatures and changing rainfall patterns, posing challenges for climate risk assessment and adaptation planning.
Vagner G. Ferreira +3 more
core +1 more source
Correction to: A Bayesian Model for Estimating the Effects of Human Disturbance on Wildlife Habitats Based on Nighttime Light Data and INLA‑SPDE [PDF]
Changbai Xi +4 more
openaire +1 more source
Spatio‐temporal data integration for species distribution modelling in R‐INLA
Species distribution modelling is a highly used tool for understanding and predicting biodiversity change, and recent work has emphasised the importance of understanding how species distributions change over both time and space.
Fiona M. Seaton +2 more
doaj +1 more source
Measuring and monitoring soil organic matter (SOM) is essential for evaluating soil health, carbon sequestration, and agricultural sustainability, especially in the black soil regions.
Tianyu Miao +8 more
doaj +1 more source
The SPDE approach in spatio-temporal Bayesian models for atmospheric pollution monitoring
reservedQuesta tesi esplora l'applicazione dei metodi bayesiani tramite l’utilizzo dell’Integrated Nested Laplace Approximation (INLA) nell'analisi dei dati spazio-temporali, concentrandosi in particolare sui dati geostatistici e sul monitoraggio dell ...
MONTE, VALENTINA
core
Spatial modelling with R-INLA: A review
Coming up with Bayesian models for spatial data is easy, but performing inference with them can be challenging. Writing fast inference code for a complex spatial model with realistically-sized datasets from scratch is time-consuming, and if changes are ...
Bolin, David +7 more
core

