Topics include: environmental monitoring, incorporating methods for censored data and for time series;
spatial data interpolation and prediction; and multi-criteria decision analysis.
Not exact matches
For example, simple approaches such as
spatial interpolation or adding climate changes from GCMs to observed
data fields do increase the
spatial resolution but add no new information on high resolution climate change.
«Both of these are established methodologies for doing
spatial prediction otherwise known as
interpolation» — phew, good thing you're not using «computer models» to fill in the
data.
The
spatial interpolation of temperature from a sparse network propagates errors in the
data over large areas.
While other
interpolations had been done previously, no one had really taken advantage of the satellite
data, which provide crucial information about
spatial patterns of temperature change.»