Advances in spatial functional statistics
نویسندگان
چکیده
منابع مشابه
Statistics for Spatial Functional Data
Functional Data Analysis is a relatively new branch in Statistics. Experiments where a complete function is observed for each individual give rise to functional data. In this work we focus on the case of functional data presenting spatial dependence. The three classic types of spatial data structures (geostatistical data, point patterns and areal data) can be combined with functional data as it...
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Drought is one of the environmental events and an inseparable part of climatic fluctuations. This phenomenon is one of the main characteristics of the various climates. Awareness of spatiotemporal behavior is effective in land planning. The spatial statistical methods provide the means by which they analyze the spatial patterns of random variables such as precipitation. In this study, using the...
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This article gives a brief overview of classical spatial statistics. Three main types of spatial data are considered: geostatistical data, lattice data, and spatial point patterns. Modeling themes common to all three data types are emphasized. In addition, some basic structural identification procedures for each data type are described. Finally, maximum likelihood estimation and spatial predict...
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ژورنال
عنوان ژورنال: Stochastic Environmental Research and Risk Assessment
سال: 2016
ISSN: 1436-3240,1436-3259
DOI: 10.1007/s00477-016-1346-z