Spatial and temporal rainfall approximation using additive models

Spatial and Temporal Rainfall Approximation Using Additive Models

Exploring spatial nonlinearity using additive approximation

ZUDI LU, ARVID LUNDERVOLD, DAG TJøSTHEIM and QIWEI YAO Department of Statistics, London School of Economics, London WC2A 2AE, UK Institute of Systems Science, Academy of Mathematics and Systems Sciences Chinese Academy of Sciences, Beijing 100080, China Department of Physiology, University of Bergen, 5007 Bergen, Norway Department of Mathematics, University of Bergen, 5007 Bergen, Norway. E-mai...

Stochastic Models of Spatial and Temporal Distribution of Thunderstorm Rainfall

A simplified stochastic model based on airmass thunderstorm rainfall data from the 58-square-mile Walnut Gulch Experimental Watershed in south eastern Arizona is being developed at the Southwest Watershed Research Center, Tucson, Ariz. Records from the 95 rain gage network on this watershed pro vide valuable information on airmass thunderstorm rainfall in the Southwestern United States. Proba b...

Parameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation

 Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...

Planning for Protected Areas Using Spatial and Temporal Metrics