Results 141 to 150 of about 618 (156)

Use of Community Science Data to Assess Factors Associated With Diamond-Backed Terrapin (<i>Malaclemys terrapin</i>) Sightings in Coastal Marshes of Southeastern North Carolina, USA. [PDF]

Ecol Evol
Whitmer M, Pinnix E, Finn S, Jarvis J, Sutton H, Williard AS.   +5 more
europepmc   +1 more source

Data fusion and integrated species distribution models for three endangered ferns (<i>Culcita macrocarpa, Diplazium caudatum, and Pteris incompleta</i>) in a Mediterranean biodiversity hotspot. [PDF]

Front Plant Sci
Ruiz-Valero Á, Pereña-Ortiz JF, Salvo-Tierra ÁE.   +2 more
europepmc   +1 more source

Spatial patterning of hypertension and its association with comorbidities and risk factors: A cross-sectional study in South India. [PDF]

PLoS One
Mani T, Sappani M, Joy M, Garg C, Jeyaseelan V, Babu M, Arunachalam R, Durairaj J, Prithishkumar IJ, George S, Asirvatham ES, Sudarsanam TD, Jeyaseelan L.   +12 more
europepmc   +1 more source

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
europepmc   +1 more source

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.
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
openaire   +1 more source

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
openaire   +1 more source