Even though the northern Channel Islands comprise a relatively small geographical space, the data
showed spatial variation.
Not exact matches
The Cell Atlas reveals that approximately half of all proteins localize to multiple compartments and that many proteins
show cell - to - cell
variation in terms of protein abundance or
spatial distribution.
We first demonstrate less variability of global Pearson correlations with respect to the two chosen networks using a sliding - window approach during WM task compared to rest; then we
show that the macroscopic decrease in
variations in correlations during a WM task is also well characterized by the combined effect of a reduced number of dominant CAPs, increased
spatial consistency across CAPs, and increased fractional contributions of a few dominant CAPs.
He claims that this can be corrected for, but he still isn't using the proper null — in M&N they
show the results from the ensemble means (of the GISS model and the full AR4 model set), but seem to be completely ignorant of the fact that ensemble mean results remove the
spatial variations associated with internal variability which should be the exact thing you would use!
See e.g. this review paper (Schmidt et al, 2004), where the response of a climate model to estimated past changes in natural forcing due to solar irradiance
variations and explosive volcanic eruptions, is
shown to match the
spatial pattern of reconstructed temperature changes during the «Little Ice Age» (which includes enhanced cooling in certain regions such as Europe).
Despite the complexity of global food supply, here we
show that simple measures of growing season temperatures and precipitation —
spatial averages based on the locations of each crop — explain ~ 30 % or more of year - to - year
variations in global average yields for the world's six most widely grown crops.
In addition to magnitude
variations, the details of the
spatial pattern of P anomalies can differ from one ensemble member to another: for example, France and Great Britain
show negative P anomalies in simulation 14 and positive P anomalies in simulation 25.
The
spatial distribution of the altimeter sea level trends during 1993 - 2017
shows large - scale
variations, with some regions such as the western tropical Pacific Ocean experiencing up to +8 mm / year.
As we have
shown in Rahmstorf et al. (2012), much or most of the decadal
variations in the rate of sea - level rise in tide gauge data are probably not real changes at all, but simply an artefact of inadequate
spatial sampling of the tide gauges.