This package is intended to create a class for point lists with local coordinate systems.
The coord.data.frame is a data.frame with the following mandatory columns:
id - point identifying variable.
x - X-coordinate.
y - Y-coordinate.
A coord.data.frame additionally can contain point-attribute variables.
Construct a coord.data.frame with the as.coord.data.frame
function.
df %>% as.coord.data.frame(id=id,x=x,y=y,diameter,species)
filter_radius
Filter coordinate points by maximum radius (inclusive). Filter origin can be set.
coords.df %>% filter_radius(x=2, y=3, radius=10)
plot
Plot a coord.data.frame by calling ggplot2
. This is a very preliminary function that assumes that your coord.data.frame has the variables 'diameter' and 'species'.
cartesian_to_polar_coordinate
polar_to_cartesian_coordinate
degree_to_radian
radian_to_degree
coordinate_rotation
Rotate a coord.data.frame by an angle of rotation (radian).
translate_coordinates
Translate points in a coord.data.frame coordinate system by x, y.
coordinate_reflect
Reflect points in a coord.data.frame around an axis of the coordinate system.
produce_gauss_matrix
Represent a number of coordinate points in a coord.data.frame
as a gaussian process, where the amplitude is equivalent to an attribute of the point, the standard deviation is the positional error, and a certain resolution (number of cells per radius). To distinguish between the data structures, the coord.data.frame
is transformed into a gauss.coord.data.frame
.
This can be plotted with plot
.
Image creation and saving is handled by save_gauss
which takes an gauss.coord.data.frame
and saves it as an .png without any borders.
Read PNG images into R with the png::readPNG()
function. To outline a number of euclidean geometric transformations, we use the image registration software interface RNiftyReg.
#Image registration.
affine_transformation <- niftyreg.linear(gauss1_img,gauss2_img)
#the transformation matrix
forward(affine_transformation)
The Affine matrix can be handed to fieldcoordinate::coordinate_transform
to apply the transformations on the coord.data.frame rather than the gaussian representation. OBSERVE this only handles translation and rotation so far.
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