Description Usage Arguments Details See Also Examples
View source: R/namespace.R View source: R/plot3D_NA.R
plot3D_NA
shows spatial locations with or without missing observation. It is plotted based on
the cross-section data of a given time point, which is also often extracted from spatio-temporal data.
1 2 |
newdata |
data frame; should only contain the four variables in order: X coordinate, Y coordinate, Z coordinate and observation. This is the cross-section data or pure spatial data of a particular time point you have selected, with missing observations that you want to predict. (coordinates must be numeric) |
xlab |
a label for the x axis, defaults to the name of X coordinate. |
ylab |
a label for the y axis, defaults to the name of Y coordinate. |
zlab |
a label for the z axis, defaults to the name of Z coordinate. |
title |
a main title for the plot. |
cex |
numeric; size of plotting point for each spatial location. (default: 3) |
color |
colour to be used to fill the spatial locations. (default: "orange") |
colorNA |
colour for denoting missing values/observations. (default: "blue") |
The resulting plot is interactive.
plot3D_NA
is exclusive to 3D rectangular grid system. Similarly, if you want to fathom how
this package handles 2D rectangular grid system, please refer to plot_NA
.
plot_NA
, plot3D_map
, plot3D_dif
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ## Not run:
## TSCS spatial interpolation procedure:
basis <- tscsRegression3D(data = data, h1 = 3.75, h2 = 2.5, v = 5, alpha = 0.01);
basis$percentage
est <- tscsEstimate3D(matrix = basis$coef_matrix, newdata = newdata, h1 = 3.75, h2 = 2.5, v = 5);
str(est)
## comparison of estimates and true values:
plot_compare(est = est$estimate[,4], true = true)
index <- appraisal_index(est = est$estimate[,4], true = true);
index
## data visualization:
plot3D_dif(data = data[,1:3], h1 = 3.75, h2 = 2.5, v = 5)
plot3D_NA(newdata = newdata)
plot3D_map(newdata = newdata)
## End(Not run)
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