chart = {
const width = 900,//pixel size of the map
height = 900;
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width-50, height-10]);
// Use Mercator projection
var projection = d3
.geoMercator()//projection system used
.fitSize([width, height], bbox_new);//out bounding box is here
var path = d3.geoPath().projection(projection);//need one of these for each line layer from qgis
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.selectAll('g').attr("id", "paths");//qgis lines variable //one variable for each geometry type
var c = svg.selectAll("circle")//for circles
var p = svg.selectAll("polyline")//for polylines from rhino
//static lines from qgis
//staticLines(path3, subways.features,"none",1,.5,"rgb(180,180,180)")
staticLines(path4, parks.features,"rgb(200,225,200)",'.25','.1',"rgb(0,255,0)")
staticLines(path5, dining_lines.features,"none",'1','.25',"rgb(255,0,0)")
function staticLines(path, data, sfill, sOpac, sW, stroke){
g.enter().append("path")
.data(data) //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", path) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", sfill)
.style('stroke-opacity',sOpac)
.style("stroke-width", sW)
.style("stroke", stroke)
}
//static points from qgis
staticCircles(restrooms.features,'2','black','1',"0")
staticCircles(theaters.features,'4','blue','1',"0")
function staticCircles(data,r,sfill, sOpac, sWidth){
c.enter().append('circle')
.data(data) //get data to define path
.enter() //there are more data than elements, this selects them
.append("circle") //appends path to data
.attr('cx',function(d) {return path.centroid(d)[0]})
.attr("cy",function(d) {return path.centroid(d)[1]})
.attr('r', r)
.attr('fill', sfill)
.style('fill-opacity',sOpac)
.style("stroke-width", sWidth)
}
//lines from rhino
polyline(graphic_test,'red','1','0','none')
polyline(face_outline,'rgb(255,255,0)','1','2','black')
polyline(eyes,'blue','1','1','black')
polyline(mouth,'none','1','3','red')
function polyline(data, sfill, sOpac, sW, stroke){
g.enter().append("polyline")
.data(data) //get data to define path
.enter() //there are more data than elements, this selects them
.append('polyline')
.attr("points", function(d){return d}) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", sfill)
.style('stroke-opacity',sOpac)
.style("stroke-width", sW)
.style("stroke", stroke)
}
/*
//points from spreadsheet
c.enter().append('circle')
.data(spots) //get data to define path
.enter() //there are more data than elements, this selects them
.append("circle") //appends path to data
.attr('class','spots')
.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', 'black')
.style('fill-opacity','1')
.style("stroke-width", "1")
*/
return svg.node();
}
mouth = FileAttachment("mouth.txt").tsv({array:true})
eyes = FileAttachment("eyes.txt").tsv({array:true})
face_outline = FileAttachment("face_outline.txt").tsv({array:true})
bbox_new = FileAttachment("bbox_new.geojson").json()
graphic_test = FileAttachment("graphic_test.txt").tsv({array:true})
bbox1 = FileAttachment("bbox@1.geojson").json()
theaters = FileAttachment("theaters.geojson").json()
restrooms = FileAttachment("restrooms.geojson").json()
subways = FileAttachment("subways.geojson").json()
parks = FileAttachment("parks.geojson").json()
dining_lines = FileAttachment("dining_lines.geojson").json()
spotsLink = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vRwB-ukffxTe8cd2j54Lg_PGvR-3Dm6A6TZNS9AV1TRz5iNL3shNkXsyJLlXTGzcI4UCkyh9MJS9P0G/pub?output=csv'
spots = d3.csv(spotsLink,d3.autoType)
import { wrap_text, wrap_text_nchar } from "@ben-tanen/svg-text-and-tspan-word-wrapping"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
