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The genius of this book is its quietly passionate accumulation of these often fleeting encounters into a great map of observation across time and space.
a Map of observation sites.
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Fig. 9 a f Maps of observations (colored circles) and model ensemble means of atmospheric 137Cs concentration from 3/15/9 h to 3/16/9 h.
Fig. 12 Maps of observations (colored circles) and model ensemble means of atmospheric 137Cs concentration in a 3/18/18 h and b 3/19/12 h.
The model is based on a probabilistic mapping of observations from multiple identities onto a single fixed identity ('internal transcoding of external stimuli'), and then onto a latent space ('phenomenological response').
JMA-MANAL wind vectors at 1000 hPa are superimposed Fig. 13 a f Maps of observations (colored circles) and model ensemble means of atmospheric 137Cs concentration from 3/20/9 h to 3/21/9 h.
The correlation maps of observations and variables are shown in Fig. 3B and C respectively.
The score plot is a map of the observations and shows the possible presence of outliers, groups, similarities and other patterns in the data.
We show how the approach can be used to differentiate between relatively narrow ('line') and wide ('strip') structural corridors by mapping corridors at multiple scales of observation, and indicate how to map functional corridors with maps of observed or simulated organism movement.
The geostatistical mapping is also more accurate than conventional mapping, which uses the mean of observations within districts as the predicted value for all locations within the district, although the accuracy improvement is not very large.
c Map of 196 macroseismic observations by integrating the EMS-98 with the MCS observations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com