rcoins
RC
Identify continuous lines in a spatial network.
Updated 3 days ago
4
The goal of visor is to provide a set of tools for visibility analysis.
The goal of visor is to provide a set of tools for visibility analysis.
You can install the released version of visor from CRAN with:
install.packages("visor")
You can install the development version of visor from GitHub with:
# install.packages("pak")
pak::pak("CityRiverSpaces/visor")
This is a basic example which shows you how to use visor to calculate the isovist for view points on an arbitrary geometry (a line) and a set of occluders:
library(visor)
library(sf)
# Define occluder geoemtries
occluders <- st_sfc(
create_occluder(1, 1, 1, 0.5),
create_occluder(4, 1, 1.5, 0.7),
create_occluder(7, 1, 0.8, 0.8),
create_occluder(2, 5, 2, 1),
create_occluder(5, 5, 1, 1.5),
create_occluder(1, 7, 1.2, 0.6),
create_occluder(7, 7, 1.8, 0.9)
)
# Define the viewpoint source geometry
line <- st_sfc(
st_linestring(matrix(c(0, 3, 9, 3), ncol = 2, byrow = TRUE))
)
# Generate viewpoints
vpoints <- get_viewpoints(line, density = 1)
# Calculate isovist
isovist <- get_isovist(vpoints, occluders, ray_num = 160, ray_length = 5,
remove_holes = FALSE)
plot(isovist, col = "blue")
plot(occluders, col = "grey", add = TRUE)
plot(line, col = "lightblue", add = TRUE)
plot(vpoints, col = "red", add = TRUE)
City River Spaces, a tool for automated and scalable delineation of urban river spaces with spatial-temporal big data
Identify continuous lines in a spatial network.
rcrisp provides tools to automate the morphological delineation of riverside urban areas.