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@@ -2,7 +2,7 @@ Package: FRK | |
Type: Package | ||
Title: Fixed Rank Kriging | ||
Version: 0.1.2 | ||
Date: 2017-03-06 | ||
Date: 2017-04-21 | ||
Authors@R: c( | ||
person("Andrew", "Zammit-Mangion", , "[email protected]", c("aut", "cre")), | ||
person("Timothy", "Davis", , "[email protected]", role = "ctb"), | ||
|
@@ -13,15 +13,14 @@ Maintainer: Andrew Zammit-Mangion <[email protected]> | |
VignetteBuilder: knitr | ||
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling | ||
and prediction with large datasets. The approach, discussed in Cressie and | ||
Johannesson (2008), decomposes the field, and hence the covariance function, | ||
using a fixed set of n basis functions, where n is typically much smaller than | ||
the number of data points (or polygons) m. The method naturally allows for | ||
non-stationary, anisotropic covariance functions and the use of observations | ||
with varying support (with known error variance). The projected field is a key | ||
building block of the Spatial Random Effects (SRE) model, on which this package | ||
is based. The package FRK provides helper functions to model, fit, and predict | ||
using an SRE with relative ease. Reference: Cressie, N. and Johannesson, G. | ||
(2008) <DOI:10.1111/j.1467-9868.2007.00633.x>. | ||
Johannesson (2008) <DOI:10.1111/j.1467-9868.2007.00633.x>, decomposes the field, | ||
and hence the covariance function, using a fixed set of n basis functions, | ||
where n is typically much smaller than the number of data points (or polygons) m. | ||
The method naturally allows for non-stationary, anisotropic covariance functions | ||
and the use of observations with varying support (with known error variance). The | ||
projected field is a key building block of the Spatial Random Effects (SRE) model, | ||
on which this package is based. The package FRK provides helper functions to model, | ||
fit, and predict using an SRE with relative ease. | ||
BugReports: http://github.com/andrewzm/FRK/issues | ||
Depends: | ||
R (>= 3.1) | ||
|
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