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作者:Andrew O. Finley , Sudipto Banerjee , Alan E. Gelfand
来源:[J].Journal of Statistical Software(IF 4.91), 2015, Vol.63 (1), pp.1-28DOAJ
摘要:In this paper we detail the reformulation and rewrite of core functions in the spBayes R package. These efforts have focused on improving computational efficiency, flexibility, and usability for point-referenced data models. Attention is given to algorithm and computing developme...
作者:Alan E. Gelfand , James S. Clark
来源:[J].Journal of Agricultural, Biological and Environmental Statistics(IF 1.235), 2018, Vol.23 (3), pp.334-357Springer
摘要:Abstract(#br)The distinction between an overlap in species daily activity patterns and proximate co-occurrence of species for a location and time due to behavioral attraction or avoidance is critical when addressing the question of species co-occurrence. We use data from a d...
作者:Alan E. Gelfand , María Asunción Beamonte ...
来源:[J].Stochastic Environmental Research and Risk Assessment(IF 1.961), 2017, Vol.31 (1), pp.171-183Springer
摘要:Abstract(#br)Recently, there has been increased interest in the behavior of wildfires. Behavior includes explaining: incidence of wildfires; recurrence times for wildfires; sizes, scars, and directions of wildfires; and recovery of burned regions after a wildfire. We study t...
作者:Maria A. Terres , Alan E. Gelfand
来源:[J].Journal of Statistical Planning and Inference(IF 0.713), 2016, Vol.168, pp.106-119Elsevier
摘要:Abstract(#br)This paper develops methodology for local sensitivity analysis based on directional derivatives associated with spatial processes. Formal gradient analysis for spatial processes was elaborated in previous papers, focusing on distribution theory for directional deriva...
作者:Erin M. Schliep , Alan E. Gelfand , James S. Clark
来源:[J].Journal of Agricultural, Biological, and Environmental Statistics(IF 1.235), 2015, Vol.20 (3), pp.323-342Springer
摘要:Abstract(#br)The velocity of climate change is defined as an instantaneous rate of change needed to maintain a constant climate. It is developed as the ratio of the temporal gradient of climate change over the spatial gradient of climate change. Ecologically, understanding t...
作者:Gianluca Mastrantonio , Giovanna Jona Lasinio , Alan E. Gelfand
来源:[J].TEST(IF 1.271), 2016, Vol.25 (2), pp.331-350Springer
摘要:Abstract(#br)Circular data arise in many areas of application. Recently, there has been interest in looking at circular data collected separately over time and over space. Here, we extend some of this work to the spatio-temporal setting, introducing space–time dependence. We...
作者:Gianluca Mastrantonio , Alan E. Gelfand , Giovanna Jona Lasinio
来源:[J].Stochastic Environmental Research and Risk Assessment(IF 1.961), 2016, Vol.30 (8), pp.2231-2242Springer
摘要:Abstract(#br)We consider modeling of angular or directional data viewed as a linear variable wrapped onto a unit circle. In particular, we focus on the spatio-temporal context, motivated by a collection of wave directions obtained as computer model output developed dynamically ov...
作者:... Kai Zhu , Alan E. Gelfand , James S. Clark
来源:[J].Journal of Agricultural, Biological, and Environmental Statistics(IF 1.235), 2016, Vol.21 (1), pp.111-130Springer
摘要:Abstract(#br)Typical ecological gradient analysis for plant species considers variation in the response along a gradient of covariate values, for example, temperature or precipitation. Response is customarily modeled through the presence/absence or a suitable measure of abun...
作者:Alan E. Gelfand , James S. Clark
来源:[J].Environmental and Ecological Statistics(IF 0.868), 2016, Vol.23 (1), pp.23-41Springer
摘要:Abstract(#br)Predictions of above-ground biomass and the change in above-ground biomass require attachment of uncertainty due the range of reported predictions for forests. Because above-ground biomass is seldom measured, there have been no opportunities to obtain such uncertaint...

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