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Type Chart, then Shift-Enter. Ctrl-space for more options.
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_seattle);//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
var t = svg.selectAll("text")
var l = svg.selectAll("line")
//lines from rhino
polyline(name3,'black','1','0','none','angles')
function polyline(data, sfill, sOpac, sW, stroke,classVar){
g.enter().append("polyline")
.data(data) //get data to define path
.enter() //there are more data than elements, this selects them
.append('polyline')
.attr('class',classVar)
.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)
}
//static lines from qgis
//staticLines(path3, subways.features,"none",1,.5,"rgb(180,180,180)")
staticLines(path, hexagonMergeSeattle3.features,"rgb(250,250,250)",'.25','.1',"rgb(250,250,250)")
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", fillcolor)
.style('stroke-opacity',"blue")
.style("stroke-width", "1")
.style("stroke", stroke)
}
function fillcolor(d){
var color = 'rgb(100,100,100)'
if(category=="Redlining Grade"){
if(d.properties.grade == "A"){color = "rgb(102,153,0)"}
if(d.properties.grade == "B"){color = "rgb(181,228,88)"}
if(d.properties.grade == "C"){color = "rgb(249,246,68)"}
if(d.properties.grade == "D"){color = "rgb(244,52,42)"}
}
if(category=="Asthma Index"){
if(d.properties.AF_PFS >= 0.00 && d.properties.AF_PFS < 0.09){color = "rgb(50,0,0)"}
if(d.properties.AF_PFS >= 0.09 && d.properties.AF_PFS < 0.27){color = "rgb(100,0,0)"}
if(d.properties.AF_PFS >= 0.27 && d.properties.AF_PFS < 0.68){color = "rgb(150,0,0)"}
if(d.properties.AF_PFS >= 0.68 && d.properties.AF_PFS < 0.89){color = "rgb(200,0,0)"}
if(d.properties.AF_PFS >= 0.89 && d.properties.AF_PFS < 0.97){color = "rgb(255,0,0)"}
}
if(category=="Air Quality Index"){
if(d.properties.PM25F_PFS >= 0.000 && d.properties.PM25F_PFS < 0.240){color = "rgb(255,255,212)"}
if(d.properties.PM25F_PFS >= 0.240 && d.properties.PM25F_PFS < 0.260){color = "rgb(254,217,142)"}
if(d.properties.PM25F_PFS >= 0.260 && d.properties.PM25F_PFS < 0.290){color = "rgb(254,153,41)"}
if(d.properties.PM25F_PFS >= 0.290 && d.properties.PM25F_PFS < 0.30){color = "rgb(217,95,14)"}
if(d.properties.PM25F_PFS >= 0.30 && d.properties.PM25F_PFS < 0.31){color = "rgb(153,52,4)"}
}
if(category=="Tree Coverage"){
if(d.properties.NUMPOINTS >= 0.00 && d.properties.NUMPOINTS < 0.00){color = "rgb(247,252,245)"}
if(d.properties.NUMPOINTS >= 0.00 && d.properties.NUMPOINTS < 38.00){color = "rgb(201,234,194)"}
if(d.properties.NUMPOINTS >= 38.00 && d.properties.NUMPOINTS < 87.00){color = "rgb(123,199,124)"}
if(d.properties.NUMPOINTS >= 87.00 && d.properties.NUMPOINTS < 151.60){color = "rgb(42,146,75)"}
if(d.properties.NUMPOINTS >= 151.60 && d.properties.NUMPOINTS < 420.00){color = "rgb(0,68,27)"}
}
return color
}
return svg.node();
}
t.enter().append('text')//theater names from QGIS - use this format for points from QGIS
.data(hexagonMergeSeattle3.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("text") //appends path to data
//.attr('class','spots')
.attr('x',function(d) {return path.centroid(d)[0]})
.attr("y",function(d) {return path.centroid(d)[1]-8})
.attr('fill', 'black')
.style('font-family','helvetica')
.style('text-anchor','middle')
.style("font-size", "6px")
.text(function(d){return d.properties.grade})
name3 = FileAttachment("name3.txt").tsv({array:true})
hexagonMergeSeattle3 = FileAttachment("hexagon(merge seattle)3.geojson").json()
bbox_seattle = FileAttachment("bbox_seattle.geojson").json()
viewof category = Inputs.radio(["Redlining Grade", "Asthma Index", "Air Quality Index", "Tree Coverage" ], {label: "Category", value:"Redlining Grade."})
category
md`**Selected Category:** ${category}`
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.
