Results 41 to 50 of about 3,995 (142)
Frontiers in Environmental Science, 2020 Due to the occurrence of more frequent and widespread toxic cyanobacteria events, the ability to predict freshwater cyanobacteria harmful algal blooms (cyanoHAB) is of critical importance for the management of drinking and recreational waters.
Mark H. Myer +3 more
doaj +1 more source
Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping [PDF]
, 2011 A new class of stochastic field models is constructed using nested stochastic partial differential equations (SPDEs). The model class is computationally efficient, applicable to data on general smooth manifolds, and includes both the Gaussian Mat\'{e}rn ...
Bolin, David, Lindgren, Finn
core +4 more sources
New opportunities for grassland species in warming temperate winters
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during ...
F. Curtis Lubbe +3 more
wiley +1 more source
Mathematical Biosciences and Engineering, 2023 This study aimed to explore the spatio-temporal distribution characteristics and risk factors of hepatitis B (HB) in 14 prefectures of Xinjiang, China, and to provide a relevant reference basis for the prevention and treatment of HB.
Yijia Wang +5 more
doaj +1 more source
Should you use data integration for your distribution model?
Journal of Animal Ecology, EarlyView.This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein +3 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Prediction and Surveillance Sampling Assessment in Plant Nurseries and Fields
Applied Sciences, 2022 In this paper, we propose a structured additive regression (STAR) model for modeling the occurrence of a disease in fields or nurseries. The methodological approach involves a Gaussian field (GF) affected by a spatial process represented by an ...
Nora C. Monsalve, Antonio López-Quílez
doaj +1 more source
Latent Gaussian modeling and INLA: A review with focus on space-time applications [PDF]
, 2016 Bayesian hierarchical models with latent Gaussian layers have proven very flexible in capturing complex stochastic behavior and hierarchical structures in high-dimensional spatial and spatio-temporal data.
Opitz, Thomas
core +2 more sources
Fisheries Oceanography, EarlyView.ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues +15 more
wiley +1 more source
An accessible method for implementing hierarchical models with spatio-temporal abundance data.
PLoS ONE, 2012 A common goal in ecology and wildlife management is to determine the causes of variation in population dynamics over long periods of time and across large spatial scales.
Beth E Ross +2 more
doaj +1 more source