base map - UD Spring 2024 / Zach Stankovics's Workspace

Zach Stankovics's Workspace

Workspace

Public

Edited

Feb 7, 2024

Fork of base map - UD Spring 2024

# base map - UD Spring 2024

d3 = require("d3@6")

chart = {

const width = 900,

height = 900;

const svg = d3.create("svg")

.attr("viewBox", [25, 0, width-100, height-100]);

// Use Mercator projection

var projection = d3

.geoMercator()

.fitSize([width - 50, height - 50], bbox1);

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 g = svg.append("g").attr("id", "paths");

svg

.append("text")

.attr('x','25')

.attr('y','25')

.style('font-family','garamond')

.style('font-size','24px')

.style('font-weight','bold')

.text('London')

svg

.append("text")

.attr('x','25')

.attr('y','50')

.style('font-family','garamond')

.style('font-size','18px')

.style('font-weight','bold')

.text('Places To Visit:')

svg

.append("line")

.attr('x1','25')

.attr('y1','33')

.attr('x2','142')

.attr('y2','33')

.style("stroke-width", '1')

.style("stroke", "rgb(0,0,0)")

g.selectAll("path2") //d3 geopath

.data(underground.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','.5')

.style("stroke-width", '.5')

.style("stroke", "black")

g.selectAll("path3")

.data(base1.features)

.enter()

.append("path")

.attr('class','outlines')

.attr("d", path3)

.style("fill", "rgb(245,245,245)")

.style("fill-opacity", ".25")

.style('stroke-opacity','.1')

.style("stroke-width", '.5')

.style("stroke", "black")

g.selectAll("path3")

.data(brownfields.features)

.enter()

.append("path")

.attr('class','outlines')

.attr("d", path3)

.style("fill", "rgb(255,255,255)")

.style("fill-opacity", "1")

.style('stroke-opacity','.5')

.style("stroke-width", '.25')

.style("stroke", "black")

g.selectAll("path3")

.data(thames.features)

.enter()

.append("path")

.attr('class','outlines')

.attr("d", path3)

.style("fill", "rgb(0,0,0)")

.style("fill-opacity", ".65")

.style('stroke-opacity','1')

.style("stroke-width", '.1')

.style("stroke", "white")

// var c = svg.selectAll("circle") //d3 geopath

// .data(Points)

// .enter() //there are more data than elements, this selects them

//.append("circle") //appends path to data

//.attr('class','points')

// .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','none')

// .style('fill-opacity','0')

var p = svg.selectAll("polyline")

.data(irons5)

.enter() //there are more data than elements, this selects them

.append("polyline")

.attr('points',function(d){return d})

.attr('transform','translate(125,20)')

.style('fill','black')

.style('stroke','none')

.style('stroke-width','.25')

//.style('stroke-dasharray', '4,4,8,8')

p.enter().append("polyline")

.data(icon_list)

.enter() //there are more data than elements, this selects them

.append("polyline")

.attr('class','icon')

.attr('points',function(d){return d.pts})

.attr('transform',function(d){return 'translate('+projection([d.data.Long,d.data.Lat])[0]+','+projection([d.data.Long,d.data.Lat])[1]+')'})

.style('fill','fillColor')

.style('stroke','none')

.style('stroke-width','.25')

.on('mouseover',pointsinfo)//listens for a mousover, and calls function

.on('mouseout',pointsinfoout)

function fillColor(d,i){

var color = 'rgb(0,0,0)'

if(d.data.Rank==5){color = 'red'

console.log("match")}

if(d.data.Rank==4){color = 'red'}

if(d.data.Rank==3){color = 'red'}

if(d.data.Rank==2){color = 'red'}

if(d.data.Rank==1){color = 'red'}

return color

}

function pointsinfo(event,d){

d3.select(this).style('fill','black')

svg.append('text')

.attr('class','PointsText')

.attr('x','25')

.attr('y','75')

.attr("font-family","Garamond")

.style('font-weight','bold')

.attr("font-size","16px")

.style('fill','black')

.attr('text-anchor','left')

.text(d.data.Name)

svg.append('text')

.attr('class','PointsText')

.attr('x','25')

.attr('y','100')

.attr("font-family","Garamond")

.style('font-weight','bold')

.attr("font-size","12px")

.attr('fill','black')

.attr('text-anchor','left')

.text(d.data.Description)

svg.append('line')

.attr('class','PointLine')

.attr('x1','30')

.attr('y1','100')

.attr('x2',projection([d.data.Long,d.data.Lat])[0])

.attr('y2',projection([d.data.Long,d.data.Lat])[1])

.style("stroke-width", '.5')

.style("stroke", "black")

.style('stroke-dasharray', '6 4')

var ratingList = []

if(d.data.Rank==1){ratingList = [irons5]}

if(d.data.Rank==2){ratingList = [irons5,irons5]}

if(d.data.Rank==3){ratingList = [irons5,irons5,irons5]}

if(d.data.Rank==4){ratingList = [irons5,irons5,irons5,irons5]}

if(d.data.Rank==5){ratingList = [irons5,irons5,irons5,irons5,irons5]}

p.enter().append("polyline")

.data(ratingList)

.enter() //there are more data than elements, this selects them

.append("polyline")

.attr('class','icon_rating')

.attr('points',function(d){return d})

.attr('transform',function(d,i){return 'translate('+(35+(i*35))+',125)'})

.style('fill','black')

.style('stroke','none')

.style('stroke-width','.25')

}

function pointsinfoout(event,d){

d3.selectAll('polyline.icon').style('fill',fillColor)

d3.selectAll('text.PointsText').remove()

d3.selectAll('line.PointLine').remove()

d3.selectAll('polyline.icon_rating').remove()

}

return svg.node();

}

icon_list={

var list = []

for (let i = 0; i < Points.length; i++) {

list.push({data: Points[i],pts:irons})

}

return list

}

irons5 = FileAttachment("irons5.txt").tsv({array:true})

irons = FileAttachment("irons4.txt").tsv({array:true})

base1 = FileAttachment("Base@1.geojson").json()

subSts = FileAttachment("sub_stops.geojson").json()

bldgs = FileAttachment("bldgs.geojson").json()

bbox = FileAttachment("site_boundary.geojson").json()

subLns = FileAttachment("subway_lines.geojson").json()

bbox1 = FileAttachment("Bbox.geojson").json()

brownfields = FileAttachment("Brownfields.geojson").json()

thames = FileAttachment("Thames.geojson").json()

underground = FileAttachment("Underground.geojson").json()

Points_Link='https://docs.google.com/spreadsheets/d/e/2PACX-1vSQ9KUqX4lrd6tOMzRZvAnCzSWV6Q9FyqXDMHy95gWtd0lCSjMs7UK7Vi-VSNBwULa5tSxseLKQxbfC/pub?output=csv'

Points=d3.csv(Points_Link,d3.autoType)

dashboardcastle = FileAttachment("DashboardCastle.txt").tsv({array:true})

dashboardGraphics = {

const width = 900,

height = 900;

const svg = d3.create("svg")

.attr("viewBox", [25, 0, width-100, height-100]);

var p = svg.selectAll("polyline")

.data(dashboardcastle)

.enter() //there are more data than elements, this selects them

.append("polyline")

.attr('points',function(d){return d})

//.attr('transform','translate(125,20)')

.style('fill','white')

.style('stroke','black')

.style('stroke-width','1')

return svg.node();

}

dashboard =

html`

${dashboardGraphics}

</div>

${chart}

</div>

${md`*Trip To London*`}

</div>

${viewof LS}

${viewof CPM}

${viewof SPC}

</div>

${md`Anticipated Enjoyment: **${calculatedValues[0]}** `}

</div>

${md`Anticipated Cost: **${calculatedValues[1]}** `}

</div>

${drawCastle}

</div>

drawCastle = {

var icon = ' '

if(calculatedValues[0]>12 && calculatedValues[1]<200){icon = castleIcon}

return icon

}

viewof LS = Inputs.radio(["0","1","2"], {label: "London Stadium"})

viewof CPM = Inputs.radio(["0","1","2"], {label: "Crystal Palace Museum"})

viewof SPC = Inputs.radio(["0","1","2"], {label: "St. Paul's Cathedral"})

LondonDatset = [

{name:"LS",rating:5,cost:25},

{name:"CPM",rating:4,cost:10},

{name:"SPC",rating:3,cost:5}

]

calculatedValues = {

var totalRating = 0

var totalCost = 0

totalRating = totalRating+LondonDatset[0].rating*LS

totalRating = totalRating+LondonDatset[1].rating*CPM

totalRating = totalRating+LondonDatset[2].rating*SPC

totalCost = totalCost+LondonDatset[0].cost*LS

totalCost = totalCost+LondonDatset[1].cost*CPM

totalCost = totalCost+LondonDatset[2].cost*SPC

return [totalRating,totalCost]

}

Castle2 = FileAttachment("Castle.txt").tsv({array:true})

castleIcon = {

const width = 900,

height = 900;

const svg = d3.create("svg")

.attr("viewBox", [25, 0, width-100, height]);

var p = svg.selectAll("polyline")

.data(Castle2)

.enter() //there are more data than elements, this selects them

.append("polyline")

.attr('points',function(d){return d})

.style('fill','black')

.style('stroke','black')

.style('stroke-width','1')

.style('fill-opacity','.5')

return svg.node();

}

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