GeoJSON in R Legend - r

I'm trying to create a leaflet plot with each geographical area a specific color based on a property. Here is an test example of my geojson file:
I'm pretty new to geojson and leaflet in general
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {"class": "blah"},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-81.7987060546875,
32.74570253945518
],
[
-81.6229248046875,
32.16631295696736
],
[
-80.958251953125,
32.4263401615464
],
[
-81.2713623046875,
32.791892438123696
],
[
-81.7437744140625,
32.97180377635759
],
[
-81.7987060546875,
32.74570253945518
]
]
]
}
},
{
"type": "Feature",
"properties": {"class": "blah2"},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-82.056884765625,
33.55512901742288
],
[
-81.4471435546875,
33.247875947924385
],
[
-81.40869140625,
33.80653802509606
],
[
-82.078857421875,
33.88865750124075
],
[
-82.40295410156249,
33.58716733904656
],
[
-82.056884765625,
33.55512901742288
]
]
]
}
},
{
"type": "Feature",
"properties": {"class": "blahh3"},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-83.485107421875,
32.930318199070534
],
[
-83.07861328125,
31.863562548378965
],
[
-82.21618652343749,
32.11049589629439
],
[
-82.97973632812499,
33.22030778968541
],
[
-83.726806640625,
33.211116472416855
],
[
-83.485107421875,
32.930318199070534
]
]
]
}
}
]
}
What I want to do is add a legend based off the class properties, such that each different class is associated with a specific color. However, when I try and plot and add the legend I get an error on the plot. Below is my R code:
blahTest <- geojson_read("/file/path/...", what = "sp")
fpal <- colorFactor("viridis", blahTest$class)
leaflet(blahTest) %>%
addTiles() %>%
addPolygons(stroke = FALSE, smoothFactor = 0.3, fillOpacity = 1,
color = ~fpal(class)) %>%
addLegend(colors = ~fpal, opacity = 1.0, labels = ~fpal)

Just some slight modifications to your addLegend argument gives the required output:
# read geojson in r
library(rgdal)
blahTest = readOGR("...", "OGRGeoJSON")
library(leaflet)
# create palette
fpal <- colorFactor(
palette = "viridis",
domain = blahTest$class
)
# plot
leaflet(blahTest) %>%
addTiles() %>%
addPolygons(stroke = FALSE, smoothFactor = 0.3, fillOpacity = 1,
color = ~pal(class)) %>%
addLegend("bottomright",
pal = fpal,
values = ~class,
title = "Legend",
opacity = 1,
labels = ~fpal
)

Related

Returning a single element from an array with a join in azure Cosmos SQL DB

I have a query:
SELECT c.mainColour,t AS colour
FROM c
JOIN t IN c.creatorStyleMainColours
WHERE c.creatorDefaultStyleProfile = "test"
and it returns whole of the array inside the new colour object:
[
{
"colour": {
"mainColour": "black",
"colourPairings": [
"orange",
"silver",
"gold"
]
}
}
]
I need it to just return the main colour values
how do I just select the value of the "mainColour" so its a simple array like ["black","beige","white"] from the document below
I have tried:
SELECT VALUE c.mainColour,t AS colour
FROM c
JOIN t IN c.creatorStyleMainColours
WHERE c.creatorDefaultStyleProfile = "test"
but that returns a syntax error.
Here is the full document:
{
"accountId": "59951c4d-1f0b-483b-a020",
"creatorDefaultStyleProfile": "test",
"creatorDefaultStyleGender": "Female",
"creatorStyleAccountName": "",
"creatorStyleCategory": [
{
"categoryCode": "fashion",
"categoryName": "Fashion",
"categoryMetadata": {
"occasions": [
{
"occasionCode": "casual",
"occasionName": "Casual",
"occasionTypes": [
{
"occasionCode": "out",
"occasionName": "Everyday Wear"
}
]
}
],
"season": [
{
"seasonCode": "spring",
"seasonName": "Spring"
}
]
},
"id": "fashion"
}
],
"creatorStyleDescription": "",
"creatorStyleId": "Classic_Default",
"creatorStyleImages": [
{
"styleImageUrl": "https://4965fa50-6caf-11ed-8082e.png",
"styleImageCategory": "fullsize",
"styleImageResolution": {
"width": 269.25,
"height": 359
},
"styleImagePins": [
{
"itemId": "F243906F37487C78D7EB99880142B370",
"vector": {
"x": 198.125,
"y": 44.33332824707031
}
},
{
"itemId": "9B543E0DC1B05F6E9AFD0A88285AEEF9",
"vector": {
"x": 52.791656494140625,
"y": 46.33332824707031
}
},
{
"itemId": "3E6464FC1F12E3C6E435F751438F1468",
"vector": {
"x": 120.45832824707031,
"y": 320.3333282470703
}
},
{
"itemId": "1CD6065A4C7A0BD66E44DC8A62448534",
"vector": {
"x": 115.45832824707031,
"y": 192
}
}
]
}
],
"creatorStyleItems": [
{
"creatorStyleItemId": "9B543E0DC1B05F6E9AFD0A88285AEEF9",
"ItemType": "Chest",
"creatorStyleItemName": "t-shirt",
"creatorStyleItemImages": [
{
"imageUrl": "https://images/23660493-1-white?$XXL$",
"imageCategory": "thumbnail"
}
]
},
{
"creatorStyleItemId": "F243906F37487C78D7EB99880142B370",
"ItemType": "Chest",
"creatorStyleItemName": "chunky knit cardigan",
"creatorStyleItemImages": [
{
"imageUrl": "https://images/14399002-1-black?$XXL$",
"imageCategory": "thumbnail"
}
]
},
{
"creatorStyleItemId": "1CD6065A4C7A0BD66E44DC8A62448534",
"ItemType": "Leg",
"creatorStyleItemName": " mom jeans",
"creatorStyleItemImages": [
{
"imageUrl": "https://images-blue/202501450-1-denimblack?$XXL$",
"imageCategory": "thumbnail"
}
]
},
{
"creatorStyleItemId": "3E6464FC1F12E3C6E435F751438F1468",
"ItemType": "Feet",
"creatorStyleItemName": "trainers",
"creatorStyleItemImages": [
{
"imageUrl": "https://images./203112454-1-brown?$XXL$",
"imageCategory": "thumbnail"
}
]
}
],
"creatorStyleMainColours": [
{
"mainColour": "black",
"colourPairings": [
"beige",
"grey",
"white"
]
},
{
"mainColour": "beige",
"colourPairings": [
"black",
"grey",
"white"
]
},
{
"mainColour": "white",
"colourPairings": [
"beige",
"grey",
"black"
]
}
],
"creatorStyleMerchantGroup": "test1",
"creatorStyleName": "",
"creatorStyleProfiles": [
{
"id": "",
"profileAccountId": "test1",
"profileId": "test1",
"profileIsDefault": false,
"profileName": "classic",
"profileBiometric": {
"biometricName": "",
"biometricGender": "Female",
"biometricHeight": [
],
"biometricAgeRange": [
],
"biometricHairColour": [
],
"biometricSkinColour": [
],
"biometricBodyShape": [
],
"biometricMeasurement": {
}
},
"profilePersona": {
"personaName": "",
"personaDressSense": [
],
"personaInterests": [
],
"personaStyleIcons": [
],
"personaColours": [
]
}
}
],
"creatorStyleStatus": {
"styleStatusId": "nonpublished",
"styleStatusDescription": ""
},
"id": "classicStyle1",
"_rid": "IW43AJ08x+8BAAAAAAAAAA==",
"_self": "dbs/IW43AA==/colls/IW43AJ08x+8=/docs/IW43AJ08x+8BAAAAAAAAAA==/",
"_etag": "\"97005ae1-0000-1500-0000-638523be0000\"",
"_attachments": "attachments/",
"_ts": 1669669822
}

Plotly x axis range plot

In plotly, how to plot a bar graph with x axis range dates
I want
in xaxis - startDate, endDate and
in yaxis - requestCount
[
{
"startDate": 1666255095626,
"endDate": 1666341495626,
"requestCount": 3
},
{
"startDate": 1666168695626,
"endDate": 1666255095626,
"requestCount": 5
},
{
"startDate": 1666082295626,
"endDate": 1666168695626,
"requestCount": 2
},
{
"startDate": 1665995895626,
"endDate": 1666082295626,
"requestCount": 5
},
{
"startDate": 1665909495626,
"endDate": 1665995895626,
"requestCount": 1
}
]
This is the plotly graph json below
You can see I have used a xAxis as string value with start date and end date.
but is it possible to keep the xAxis as date format and still plot the same graph? This will allow the user to zoom the graph by keeping the date x axis format
[
{
"x": [
"1666255095626-1666341495626",
"1666168695626-1666255095626",
"1666082295626-1666168695626",
"1665995895626-1666082295626",
"1665909495626-1665995895626"
],
"y": [
3,
5,
2,
5,
1
],
"type": "bar",
"marker": {
"color": "",
"colorscale": null,
"size": "",
"line": {
"color": ""
}
},
"name": "",
"line": {
"shape": "linear"
},
"hoverinfo": "",
"transforms": []
}
]

Change stroke color of a linestring (different from fill color) in node-red

I'm working on a worldmap in node-red and I was able to create a polygon and a linestring. But I need the linestring to have no fill and cannot differentiate between the line color (stroke color) and the fill color (it always has fill, like it was a polygon).
I've tried this, but no luck:
"properties": {
"stroke": "#555555",
"stroke-width": 2,
"stroke-opacity": 1,
"fill": "#00f900",
"fill-opacity": 0.5
},
This is where I declare the linestring:
var geo = { "type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "LineString",
"coordinates": [
[-1.356221,51.048611],
[-1.356039,51.048672],
[-1.355765,51.048311],
]
},
"properties": {
"color": "rgb(168, 5, 57)",
},
}]
}
The linestring is being presented on the map, but, besides the atual line, it also as a background on the same color as the line, like if it was a polygon.
fill-color : none
it should be find

R plot_ly row or dataframe in PowerBI custom visuals

I am following: http://radacad.com/create-custom-visual-with-r-and-json-part3
Here it is mentioned that with below R code, we can plot the chart:
Values<-data.frame(X,Y,Legend,Row,Column)
g=ggplot(Values, aes(x=X, y=Y,colour = Legend))
I am using similar implementations.
Below code renders blank chart with only axis:
Values <- data.frame(mpg_test, cyl_test)
p <- plot_ly(Values,
x = ~mpg_test,
y = ~cyl_test,
name = "SF Zoo",
type = "bar"
)
Empty chart
Below code also renders empty chart:
Values <- data.frame(mpg_test, cyl_test)
p <- plot_ly(Values,
x = mpg_test,
y = cyl_test,
name = "SF Zoo",
type = "bar"
)
Below code renders correct chart:
Values <- data.frame(mpg_test, cyl_test)
p <- plot_ly(Values,
x = ~mpg_test[1:nrow(Values), ],
y = ~cyl_test[1:nrow(Values), ],
name = "SF Zoo",
type = "bar"
)
Correct chart:
My doubt is, as per the tutorial I must get columns in mpg_test and cyl_test, then why I am getting something like dataframe in here.
Does, plotly handles things differently with the usage of ~ ?
Please help. Also, is there any way I can use the mpg_test and cyl_test without nrow(Values) inside plot_ly
script.r
source('./r_files/flatten_HTML.r')
############### Library Declarations ###############
libraryRequireInstall("ggplot2");
libraryRequireInstall("plotly")
####################################################
################### Actual code ####################
Values <- data.frame(mpt_test, cyl_test)
p <- plot_ly(Values,
x = ~mpt_test[1:nrow(Values), ],
y = ~cyl_test[1:nrow(Values), ],
name = "SF Zoo",
type = "bar"
)
####################################################
############# Create and save widget ###############
#p = ggplotly(p);
internalSaveWidget(p, 'out.html');
####################################################
capabilities.json
{
"dataRoles": [
{
"displayName": "Mileage Per Gallon",
"kind": "GroupingOrMeasure",
"name": "mpg_test"
},
{
"displayName": "Cylinder Size",
"kind": "GroupingOrMeasure",
"name": "cyl_test"
}
],
"dataViewMappings": [
{ "conditions": [
{
"mpg_test": {
"max": 1
},
"cyl_test": {
"max": 1
}
}
],
"scriptResult": {
"dataInput": {
"table": {
"rows": {
"select": [
{
"for": {
"in": "mpg_test"
}
},
{
"for": {
"in": "cyl_test"
}
}
],
"dataReductionAlgorithm": {
"top": {}
}
}
}
},
"script": {
"scriptProviderDefault": "R",
"scriptOutputType": "html",
"source": {
"objectName": "rcv_script",
"propertyName": "source"
},
"provider": {
"objectName": "rcv_script",
"propertyName": "provider"
}
}
}
}
],
"objects": {
"rcv_script": {
"properties": {
"provider": {
"type": {
"text": true
}
},
"source": {
"type": {
"scripting": {
"source": true
}
}
}
}
}
},
"suppressDefaultTitle": true
}

Leaflet (R) addPopups: coordinates/properties

I'm fairly new to handling spatial data and leaflet in general. I'm having difficulty creating a popup for my map. Basically what I want in the popup is the coordinates of my polygon and one of the properties (the type of class). Below is an test example of my geoJSON file:
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {"class": "blah"},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-81.7987060546875,
32.74570253945518
],
[
-81.6229248046875,
32.16631295696736
],
[
-80.958251953125,
32.4263401615464
],
[
-81.2713623046875,
32.791892438123696
],
[
-81.7437744140625,
32.97180377635759
],
[
-81.7987060546875,
32.74570253945518
]
]
]
}
},
{
"type": "Feature",
"properties": {"class": "blah2"},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-82.056884765625,
33.55512901742288
],
[
-81.4471435546875,
33.247875947924385
],
[
-81.40869140625,
33.80653802509606
],
[
-82.078857421875,
33.88865750124075
],
[
-82.40295410156249,
33.58716733904656
],
[
-82.056884765625,
33.55512901742288
]
]
]
}
},
{
"type": "Feature",
"properties": {"class": "blahh3"},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-83.485107421875,
32.930318199070534
],
[
-83.07861328125,
31.863562548378965
],
[
-82.21618652343749,
32.11049589629439
],
[
-82.97973632812499,
33.22030778968541
],
[
-83.726806640625,
33.211116472416855
],
[
-83.485107421875,
32.930318199070534
]
]
]
}
}
]
}
Here is the code I have so far to create my map, but I'm struggling/don't even know where to start on creating a popup that includes my coordinates and property:
blahTest <- geojson_read("/file/path/...", what = "sp")
fpal <- colorFactor("viridis", blahTest$class)
leaflet(blahTest) %>%
addTiles() %>%
addPolygons(stroke = FALSE, smoothFactor = 0.3, fillOpacity = 1,
color = ~fpal(class)) %>%
addLegend(colors = ~fpal, opacity = 1.0, labels = ~fpal) %>%
addPopups()
Thanks in advance!
Overview
Using #patL's suggestion, I used the popup parameter within leaflet::addPolygon() function to add label both the class and coordinates that define each polygon within blahTest.
I saved your sample data as .gejson file and imported it using sf::read_sf() and produced the HTML table within the popup using the htmlTable package after reading How to add an html table to leaflet popup.
# load necessary package
library( htmlTable )
library( leaflet )
library( sf )
# load necessary data
blahTest <-
read_sf(
dsn = "test.geojson"
, layer = "OGRGeoJSON"
)
# map data values to colors
fpal <- colorFactor( palette = "viridis", domain = blahTest$class)
# create map
my.map <-
leaflet( data = blahTest ) %>%
addTiles() %>%
addPolygons( stroke = FALSE
, smoothFactor = 0.3
, fillOpacity = 1
, color = ~fpal( class )
, popup = paste0(
"<b>Class: </b>"
, blahTest$class
, "<br>"
, "<b>Coordinates: </b>"
, "<br>"
, lapply(
X = blahTest$geometry
, FUN = function( i )
htmlTable(
x = i[[1]]
, header = c( "Longitude", "Latitude" )
)
)
) ) %>%
addLegend( pal = fpal
, values = ~class
, labels = ~class
, title = "Legend"
, position = "topright"
, opacity = 1.0 )
# view map
my.map
# end of script #

Resources