Results 141 to 150 of about 609 (154)

National serosurvey and risk mapping reveal widespread distribution of Coxiella burnetii in Kenya. [PDF]

Sci Rep
Wambua L, Bett B, Abkallo HM, Muturi M, Nthiwa D, Nyamota R, Kiprono E, Kirwa L, Gakuya F, Bartlow AW, Middlebrook EA, Fair J, Njenga K, Gachohi J, Mwatondo A, Akoko JM.   +15 more
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A global map of travel time to access veterinarians. [PDF]

Nat Commun
Criscuolo NG, Wang Y, Van Boeckel TP.
europepmc   +1 more source

Spatial meshing for general Bayesian multivariate models. [PDF]

J Mach Learn Res
Peruzzi M, Dunson DB.
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Ecological factors associated with fox feces density in an Echinococcus multilocularis endemic zone in Japan. [PDF]

Front Vet Sci
Fukui M, Uraguchi K, Numa H, Suzuki T, Karasawa M, Maita K, Yokozawa T, Hayama Y, Makita K.   +8 more
europepmc   +1 more source

Predicting opioid overdose locations using the INLA-SPDE method for fast Bayesian inference in point process models

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Spatial modelling of hydrothermal mineralization-related geochemical patterns using INLA+SPDE and local singularity analysis

Computers & Geosciences, 2021
Abstract The complexity of geochemical patterns in surficial media makes it necessary to consider the uncertainty when identifying geochemical anomalies in geochemical prospecting. In this contribution, the type of uncertainty related to spatial modelling of geochemical element distribution based on a limited number of observations is considered.
Jian Wang, Renguang Zuo
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Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mapping

Science of The Total Environment, 2017
Understanding the uncertainty in spatial modelling of environmental variables is important because it provides the end-users with the reliability of the maps. Over the past decades, Bayesian statistics has been successfully used. However, the conventional simulation-based Markov Chain Monte Carlo (MCMC) approaches are often computationally intensive ...
Jingyi Huang, Brendan P. Malone, Budiman Minasny, Alex B. McBratney, John Triantafilis   +4 more
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Spatiotemporal modelling of soil organic matter changes in Jiangsu, China between 1980 and 2006 using INLA-SPDE

Geoderma, 2021
Abstract The growing human population and demand for food have significantly impacted soil resources. Understanding the spatiotemporal change of soil conditions is important to support food production, environmental sustainability, and climate change adaptation.
Xiao-Lin Sun, Budiman Minasny, Hui-Li Wang, Yu-Guo Zhao, Gan-Lin Zhang, Yun-Jin Wu   +5 more
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A Bayesian Model for Estimating the Effects of Human Disturbance on Wildlife Habitats Based on Nighttime Light Data and INLA-SPDE

Applied Spatial Analysis and Policy, 2021
Nighttime light (NTL) data records the nocturnal emission signals of human activities and provides an accurate and continuous basis for the study of social and economic development. A new geostatistical model using NTL data is proposed to estimate the effects of human disturbance on wildlife habitats.
Changbai Xi, Zhaoning Wu, Tianlu Qian, Lu Liu, Jiechen Wang   +4 more
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Estimation of fine-resolution PM2.5 concentrations using the INLA-SPDE method

Atmospheric Pollution Research, 2023
Jingna Chen, Changhong Miao, Dongyang Yang, Yong Liu, Hang Zhang, Guanpeng Dong   +5 more
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