GeneratePolygon: Generate polypon points for Ramer–Douglas–Peucker algorithm...
In platypus1989/PathMatch: Utility Functions for Path Matching
Description
Usage
Arguments
Value
Examples
Description
Generate polypon points for Ramer–Douglas–Peucker algorithm visualization.
Usage
1
GeneratePolygon(pt1, pt2, dist = 1)
Arguments
pt1
.
pt2
.
dist
.
Value
a matrix with dimension 4*2 denoting the 4 vertices of the polygon.
Examples
1
2
3
4
5
library(ggplot2)
point_set <- rbind(c(0,0),c(2,2))
GeneratePolygon(point_set[1,],point_set[2,])
df <- data.frame(t(GeneratePolygon(point_set[1,],point_set[2,],dist=0.2)))
ggplot(df,aes(X1,X2)) + geom_polygon(fill='lightblue',alpha=0.5)
platypus1989/PathMatch documentation built on May 15, 2019, 5:51 p.m.
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Description Usage Arguments Value Examples
Description
Generate polypon points for Ramer–Douglas–Peucker algorithm visualization.
Usage
1 | GeneratePolygon(pt1, pt2, dist = 1)
|
Arguments
pt1 |
. |
pt2 |
. |
dist |
. |
Value
a matrix with dimension 4*2 denoting the 4 vertices of the polygon.
Examples
1 2 3 4 5 | library(ggplot2)
point_set <- rbind(c(0,0),c(2,2))
GeneratePolygon(point_set[1,],point_set[2,])
df <- data.frame(t(GeneratePolygon(point_set[1,],point_set[2,],dist=0.2)))
ggplot(df,aes(X1,X2)) + geom_polygon(fill='lightblue',alpha=0.5)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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