Public
Edited
Jan 18, 2023
3 forks
Insert cell
# 230118_SYD
Insert cell
d3 = require("d3@6")
Insert cell
chart = {
const width = 400,
height = 450;
const svg = d3.create("svg")
.attr("viewBox", [50, 0, width-100, height-100]);

// Use Mercator projection
var projection = d3
.geoMercator()
.fitSize([width - 50, height - 50], SYDbox);

var path1 = d3.geoPath().projection(projection);
var path2 = d3.geoPath().projection(projection);
var path3 = d3.geoPath().projection(projection);
var path4 = d3.geoPath().projection(projection);
var path5 = d3.geoPath().projection(projection);
var g = svg.append("g").attr("id", "paths");
//i'm not using the boundary lines, so I'm going to comment them out
/*
g.selectAll("path1") //d3 geopath
.data(boundary.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path1) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", "none")
.style('stroke-opacity','1')
.style("stroke-width", '.5')
.style("stroke", "rgb(0,0,0)")
*/




g.selectAll("path4") //d3 geopath
.data(SYDwater.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path4) //The d attribute defines a path to be drawn, only applies to appended elements
.style('fill', 'lavender')
.style("fill-opacity", ".6")
.style('stroke-opacity','.4')
.style("stroke-width", '.25')
.style('stroke', 'black')
g.selectAll("path4") //d3 geopath
.data(SYDbuildings.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path3) //The d attribute defines a path to be drawn, only applies to appended elements
.style('fill', 'lightblue')
.style("fill-opacity", ".6")
.style('stroke-opacity','.4')
.style("stroke-width", '.25')
.style('stroke', 'steelblue')

g.selectAll("path5") //d3 geopath
.data(SYDroads.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path2) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", "none")
.style('stroke-opacity','.4')
.style("stroke-width", '.3')
.style('stroke', 'dodgerblue')


var c = svg.selectAll("circle") //d3 geopath
.data(SYDspots)
.enter() //there are more data than elements, this selects them
.append("circle") //appends path to data
.attr("cx", function(d) {return projection([d.LONG,d.LAT])[0]})
.attr("cy", function(d) {return projection([d.LONG,d.LAT])[1]})
.attr('r', 3)
.attr('fill',colorType) // add function to control color by 'type'
.attr('stroke-opacity','.65')
.attr("stroke-width", "2")
.attr('stroke', 'pink')
.style('fill-opacity','1')
.on('mouseover', spotText)
.on('mouseout', removeSpotText)

function colorType(d,i) {
var color = 'black'

if(d.CATEGORY=='Restaurant'){color = 'firebrick'}
if(d.CATEGORY=='Place'){color = 'mediumvioletred'}

return color
}

function spotText(event,d){
d3.select(this)
.attr('fill', 'indigo')
.attr('r', 6)
.style('stroke', 'mediumslateblue')
.style("stroke-opacity",'.65')
.style("stroke-width", '5')



svg.append("rect")
.attr('class','whitebox')
.attr("x", 245)
.attr("y", 170)
.attr("height", 30)
.attr("width", 100)
.attr('stroke','black')
.attr("stroke-width", '.5')
.attr('stroke-opacity', '.4')
.style("fill", 'white');

svg.append('text')
.attr('class','spots')
.attr('x','252')
.attr('y','183')
.attr('font-family','Helvetica')
.attr('font-size','.35em')
.attr('text-anchor','start')
.attr('font-weight','bold')
.text(d.NAME)

svg.append('text')
.attr('class','spots')
.attr('x','252')
.attr('y','191')
.attr('font-family','Helvetica')
.attr('font-size','.2em')
.attr('text-anchor','start')
.attr('font-weight','normal')
.attr('font-style','italic')
.text(d.DESCRIPTION)

svg.append('line')
.attr('class','spotLine')
.attr('x1','245')
.attr('y1','183')
.attr('x2',projection([d.LONG,d.LAT])[0])
.attr('y2','183')
.style('stroke-width','.5')
.style('stroke','black')
.style('stroke-dasharray','2 1')

svg.append('line')
.attr('class','spotLine')
.attr('x1',projection([d.LONG,d.LAT])[0])
.attr('y1','183')
.attr('x2',projection([d.LONG,d.LAT])[0])
.attr('y2',projection([d.LONG,d.LAT])[1])
.style('stroke-width','.5')
.style('stroke','black')
.style('stroke-dasharray','2 1')





}
function removeSpotText(event,d) {
d3.select(this).attr('fill', colorType)
d3.select(this).attr('r', 3)
d3.select(this).style('stroke', 'pink')
d3.select(this).style('fill-opacity','1')
d3.select(this).style('stroke-opacity','.65')
d3.select(this).style('stroke-width', '2')
d3.selectAll('text.spots').remove()
d3.selectAll('line.spotLine').remove()
d3.selectAll('rect.whitebox').remove()




var wrap = svg.selectAll("text.spots")
.each(function(d,i) {wrap_text(d3.select(this), 100) } );
}

/*

c.enter.append('circle')// format to add additional circles
.data(spots)
.enter() //there are more data than elements, this selects them
.append("circle") //appends path to data
.attr("cx", function(d) {return projection([d.longitude,d.latitude])[0]})
.attr("cy", function(d) {return projection([d.longitude,d.latitude])[1]})
.attr('r',3)
.attr('fill','black')
.style('fill-opacity','1')

*/


return svg.node();
}
Insert cell
SYDbuildings = FileAttachment("SYD_buildings_004.geojson").json()
Insert cell
SYDbox = FileAttachment("SYD_boundingbox_001.geojson").json()
Insert cell
SYDroads = FileAttachment("SYD_roads_004.geojson").json()
Insert cell
SYDwater = FileAttachment("SYD_water_001.geojson").json()
Insert cell
SYDrails = FileAttachment("SYD_railways_001.geojson").json()
Insert cell
SYDspots = FileAttachment("220118_SYD_locations_V3.csv").csv()
Insert cell
import { wrap_text, wrap_text_nchar } from "@ben-tanen/svg-text-and-tspan-word-wrapping"
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more