I have several years of univariate wind speed data to which I would like to
apply singular spectrum analysis. The data are sampled every 15min and a year
is a fundamental periodicity, which suggests L=35,040 values.
I would like to fill the gaps. The missing values are scattered at low density
Hi,
I have point values of elevations on land (high resolution lidar) and in the
water (some are lower resolution single beam soundings or even just prior
elevation maps, others are high res multibeam). Let's say high resolution is 1m
and low is 10m, although the coarse case can be worse.
>From
Hi. I have been trying to use the Rssa singular spectrum analysis library on a
dataset of 15 minute data at four (cohesive) water temperature stations in an
estuary. The stations have different missing data patterns, though I can find a
period of 2 years where all four are mostly present. There
Hi,
I am trying to do maximum likelihood estimation on a univariate structural
model with diffuse components in dlm.
The package already has an MLE function, but I would like to implement two
enhancements, both of which are discussed in Harvey's Forecasting structural
time series models and
Hi all,
I have observations that mix together contributions from several smooth
functions of time. These smooths represent fluxes on a graph. Some of the
observations are centered on the edges of the graph, and directly measure one
flux. The others measurements are centered on the nodes of the g
Hi R folk,
I have a time series of scalar downstream velocity data measured across a tidal
channel. The variables are the locations in bins across the channel, the
samples are over time.
The fluctuation over the tide cycle is an enormous fraction of the time
variation in the data ... 96%. The s
I have a spatial salinity field s and a model g(s) ~ Xb where the X comes from
slightly modified GAM basis functions.
I am trying to deal with the following set of requirements:
1. The underlying physics are linear, and plain salinity (the identity link) is
the correct response to my covariates.
I have a data assimilation problem that might be amenable to the use of GAMS,
but I am not sure how feasible it is to implement. I was told the R mailing
list was a great resource.
My observations are spatiotemporal salinity in the San Francisco Bay at a
number of instruments over a few days. T
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