Nothing
## ----include=FALSE------------------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE,
comment = "#>",
out.width = "50%",
dpi = 96,
fig.align = "center")
## ----'setup', echo=TRUE-------------------------------------------------------
# Setup ----
library("chessboard")
library("ggplot2")
## ----'import-adour-sites', echo=TRUE------------------------------------------
# Location of the data ----
path_to_file <- system.file("extdata", "adour_survey_sampling.csv",
package = "chessboard")
# Read the data ----
sampling <- read.csv(path_to_file)
head(sampling)
## ----'subset-adour-sites', echo=TRUE------------------------------------------
# Subset location 1 ----
sampling <- sampling[sampling$"location" == 1, ]
sampling
## ----'create-nodes-labels', echo=TRUE-----------------------------------------
# Create node labels ----
nodes <- create_node_labels(data = sampling,
location = "location",
transect = "transect",
quadrat = "quadrat")
nodes
## ----'gg-chessboard', echo=TRUE, dpi=150, fig.height=8, fig.width=5-----------
# Plot the sampling as a chessboard ----
gg_chessboard(nodes)
## ----'geom-piece', echo=TRUE, dpi=150, fig.height=8, fig.width=5--------------
# Locate one node ----
gg_chessboard(nodes) +
geom_node(nodes, focus = "2-3")
## ----'geom-pieces', echo=TRUE, dpi=150, fig.height=8, fig.width=5-------------
# Locate various nodes ----
gg_chessboard(nodes) +
geom_node(nodes, focus = "2-3") +
geom_node(nodes, focus = "1-5") +
geom_node(nodes, focus = "3-1")
## ----'nb-rook', echo=TRUE-----------------------------------------------------
# Neighbors detection ----
nb_rook <- rook(nodes, focus = "2-3")
nb_rook
## ----'geom-neighbors', echo=TRUE, dpi=150, fig.height=8, fig.width=5----------
# Locate neighbors ----
gg_chessboard(nodes) +
geom_node(nodes, focus = "2-3") +
geom_neighbors(nodes, neighbors = nb_rook)
## ----'geom-edges', echo=TRUE, dpi=150, fig.height=8, fig.width=5--------------
# Locate neighbors ----
gg_chessboard(nodes) +
geom_edges(nodes, focus = "2-3", neighbors = nb_rook) +
geom_node(nodes, focus = "2-3")
## ----'nb-bishop', echo=TRUE---------------------------------------------------
# Neighbors detection ----
nb_bishop <- bishop(nodes, focus = "2-3")
nb_bishop
## ----'geom-edges-twice', echo=TRUE, dpi=150, fig.height=8, fig.width=5--------
# Locate neighbors ----
gg_chessboard(nodes) +
geom_edges(nodes, focus = "2-3", neighbors = nb_rook) +
geom_edges(nodes, focus = "2-3", neighbors = nb_bishop) +
geom_neighbors(nodes, neighbors = nb_rook) +
geom_neighbors(nodes, neighbors = nb_bishop) +
geom_node(nodes, focus = "2-3")
## ----'edges-queen', echo=TRUE-------------------------------------------------
# Edges list ----
edges <- create_edge_list(nodes, method = "queen")
head(edges)
## ----'connectivity-matrix', echo=TRUE-----------------------------------------
# Connectivity matrix ----
mat <- connectivity_matrix(edges)
mat
## ----'gg-matrix', echo=TRUE, dpi=150, fig.height=6, fig.width=6---------------
# Visualize matrix ----
gg_matrix(mat)
## ----'convert-to-sf', echo=TRUE-----------------------------------------------
# Convert sampling to sf object ----
nodes_sf <- sf::st_as_sf(nodes,
coords = c("longitude", "latitude"),
crs = "epsg:2154")
nodes_sf
## ----'edges-to-sf', echo=TRUE-------------------------------------------------
# Convert edges to sf object ----
edges_sf <- edges_to_sf(edges, nodes_sf)
edges_sf
## ----'mapping-edges', echo=TRUE, dpi = 150, fig.height=8, fig.width=6.5-------
# Map of nodes and edges ----
ggplot() +
geom_sf(data = edges_sf) +
geom_sf(data = nodes_sf, size = 12) +
theme_light()
## ----'mapping-edges-labels', echo=TRUE, dpi = 150, fig.height=8, fig.width=6.5----
# Map of nodes and edges ----
ggplot() +
geom_sf(data = edges_sf) +
geom_sf(data = nodes_sf, size = 12) +
geom_sf_text(data = nodes_sf, aes(label = node),
color = "white", fontface = "bold",
family = "mono") +
theme_light()
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.