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library(sf)
library(leaflet)
library(plotly)
library(crosstalk)
library(htmltools)
boroughs<- st_read("http://services5.arcgis.com/GfwWNkhOj9bNBqoJ/arcgis/rest/services/nybb/FeatureServer/0/query?where=1=1&outFields=*&outSR=4326&f=geojson")
boroughs$x <- seq(1:5)
boroughs$y <- seq(2,10,2)
boroughs_sd <- SharedData$new(
boroughs,
key=~BoroCode,
# provide explicit group so we can easily refer to this later
group = "boroughs"
)
map <- leaflet(boroughs_sd) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addPolygons(
data=boroughs,
layerId = ~BoroCode,
color = "#444444",
weight = 1,
smoothFactor = 0.5,
opacity = 1.0,
fillOpacity = 0.5,
fillColor = ~colorQuantile("Greens", x)(x)#,
# turn off highlight since it interferes with selection styling
# if careful with styling could have both highlight and select
# highlightOptions = highlightOptions(color = "white", weight = 2)
)
# borrow from https://github.com/r-spatial/mapedit/blob/master/R/query.R#L73-L132
# to select/deselect features but instead of Shiny.onInputChange
# use crosstalk to manage state
add_select_script <- function(lf, styleFalse, styleTrue, ns="") {
## check for existing onRender jsHook?
htmlwidgets::onRender(
lf,
sprintf(
"
function(el,x) {
var lf = this;
var style_obj = {
'false': %s,
'true': %s
}
var crosstalk_group = '%s';
// instead of shiny input as our state manager
// use crosstalk
if(typeof(crosstalk) !== 'undefined' && crosstalk_group) {
var ct_sel = new crosstalk.SelectionHandle()
ct_sel.setGroup(crosstalk_group)
ct_sel.on('change', function(x){
if(x.sender !== ct_sel) { //ignore select from this map
lf.eachLayer(function(lyr){
if(lyr.options && lyr.options.layerId) {
var id = String(lyr.options.layerId)
if(
!x.value ||
(
Array.isArray(x.value) &&
x.value.filter(function(d) {
return d == id
}).length === 0
)
) {
toggle_state(lyr, false)
toggle_style(lyr, style_obj.false)
}
if(
Array.isArray(x.value) &&
x.value.filter(function(d) {
return d == id
}).length > 0
) {
toggle_state(lyr, true)
toggle_style(lyr, style_obj.true)
}
}
})
}
})
}
// define our functions for toggling
function toggle_style(layer, style_obj) {
layer.setStyle(style_obj);
};
function toggle_state(layer, selected, init) {
if(typeof(selected) !== 'undefined') {
layer._mapedit_selected = selected;
} else {
selected = !layer._mapedit_selected;
layer._mapedit_selected = selected;
}
if(typeof(Shiny) !== 'undefined' && Shiny.onInputChange && !init) {
Shiny.onInputChange(
'%s-mapedit_selected',
{
'group': layer.options.group,
'id': layer.options.layerId,
'selected': selected
}
)
}
return selected;
};
// set up click handler on each layer with a group name
lf.eachLayer(function(lyr){
if(lyr.on && lyr.options && lyr.options.layerId) {
// start with all unselected ?
toggle_state(lyr, false, init=true);
toggle_style(lyr, style_obj[lyr._mapedit_selected]);
lyr.on('click',function(e){
var selected = toggle_state(e.target);
toggle_style(e.target, style_obj[String(selected)]);
if(ct_sel) {
var ct_values = ct_sel.value;
var id = lyr.options.layerId;
if(selected) {
if(!ct_values) {
ct_sel.set([id, String(id)]) // do both since Plotly uses String id
}
// use filter instead of indexOf to allow inexact equality
if(
Array.isArray(ct_values) &&
ct_values.filter(function(d) {
return d == id
}).length === 0
) {
ct_sel.set(ct_values.concat([id, String(id)])) // do both since Plotly uses String id
}
}
if(ct_values && !selected) {
ct_values.length > 1 ?
ct_sel.set(
ct_values.filter(function(d) {
return d != id
})
) :
ct_sel.set(null) // select all if nothing selected
}
}
});
}
});
}
",
jsonlite::toJSON(styleFalse, auto_unbox=TRUE),
jsonlite::toJSON(styleTrue, auto_unbox=TRUE),
if(inherits(getMapData(map), "SharedData")) {getMapData(map)$groupName()} else {""},
ns
)
)
}
browsable(
tagList(
tags$div(
style = "float:left; width: 49%;",
add_select_script(
map,
styleFalse = list(fillOpacity = 0.2, weight = 1, opacity = 0.4, color="black"),
styleTrue = list(fillOpacity = 0.7, weight = 3, opacity = 0.7, color="blue"),
ns = ""
)
),
tags$div(
style = "float:left; width: 49%;",
plot_ly(boroughs_sd, x = ~x, y = ~y) %>%
add_markers(alpha = 0.5,text = ~paste('Borough: ', BoroName)) %>%
highlight(on = "plotly_selected")
)
)
)
# try it with DT datatable
library(DT)
# no reason to carry the load of the feature column
# in the datatables
# so we will modify the data to subtract the feature column
# not necessary to use dplyr but select makes our life easy
# also need to modify targets, colnames, and container
dt <- datatable(boroughs_sd, width="100%")
dt$x$data <- dplyr::select(dt$x$data, -geometry)
dt$x$options$columnDefs[[1]]$targets <- seq_len(ncol(boroughs)-1)
attr(dt$x, "colnames") <- attr(dt$x, "colnames")[which(attr(dt$x, "colnames") != "geometry")]
dt$x$container <- gsub(x=dt$x$container, pattern="<th>geometry</th>\n", replacement="")
dt
browsable(
tagList(
tags$div(
style = "float:left; width: 49%;",
add_select_script(
map,
styleFalse = list(fillOpacity = 0.2, weight = 1, opacity = 0.4, color="black"),
styleTrue = list(fillOpacity = 0.7, weight = 3, opacity = 0.7, color="blue"),
ns = ""
)
),
tags$div(
style = "float:left; width: 49%;",
dt
)
)
)
# now try leaflet, plotly, and dt
# this unfortunately does not work
# exactly as we would like but plotly use of String key
# seems to cause the problem
# fixing Plotly is out of scope of this project
# but I might take a look at some point to submit pull
browsable(
tagList(
tags$div(
style = "float:left; width: 32%;",
add_select_script(
map,
styleFalse = list(fillOpacity = 0.2, weight = 1, opacity = 0.4, color="black"),
styleTrue = list(fillOpacity = 0.7, weight = 3, opacity = 0.7, color="blue"),
ns = ""
)
),
tags$div(
style = "float:left; width: 32%;",
plot_ly(boroughs_sd, x = ~x, y = ~y) %>%
add_markers(alpha = 0.5,text = ~paste('Borough: ', BoroName)) %>%
highlight(on = "plotly_selected")
),
tags$div(
style = "float:left; width: 32%;",
dt
)
)
)
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