Data Visualization Developer at The Associated Press
currentFires = {
const data = await getCurrentIncidentLocations(query4)
return data.features
.map(d => {
const {IncidentName, DailyAcres, FireDiscoveryDateTime, PercentContained, POOState, ...restOfAttrs } = d.properties
return {name: IncidentName, acres: DailyAcres, date: FireDiscoveryDateTime, pctContained: PercentContained, state: POOState.split('-')[1], ...restOfAttrs}
})
.sort((a,b) => b.acres - a.acres )
}
perimeterResponse = await fetch("https://services9.arcgis.com/RHVPKKiFTONKtxq3/ArcGIS/rest/services/USA_Wildfires_v1/FeatureServer/1/query?" + new URLSearchParams({
where: "GISAcres >= 1000 AND IncidentName LIKE 'Great Lakes'",
geometryPrecision: 3,
maxAllowableOffset: 1,
resultRecordCount: 100,
outFields: "IncidentName",
f: "json",
}) ).then(response => response.json())
{
const height = 100
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.style("font-family", "Helvetica");
const xScale = d3.scaleLinear().domain([0, 1]).range([0, width / 2])
const popOutside = demoData.pop_mile - demoData.total_pop
const housingOutside = demoData.hh_mile - demoData.total_hh
const labelPositions = [width / 2 - xScale(demoData.total_hh / demoData.hh_mile), width / 2 + xScale(demoData.total_pop / demoData.pop_mile),20, width ]
const labelNumbers = [housingOutside, demoData.total_hh, demoData.total_pop, popOutside ]
svg.append('line')
.attr('x1', width / 2 )
.attr('x2', width / 2 )
.attr('y1', 0)
.attr('y2', height )
.attr('stroke', 'lightgrey')
.attr('stroke-dasharray', '2 2')
svg.append('circle')
.attr('cx', width/ 2)
.attr('cy', height / 2)
.attr('r', 20)
.attr('fill', red)
.attr('fill-opacity', .5)
svg.append('line')
.attr('x1', 20 )
.attr('x2', width )
.attr('y1', height / 2 )
.attr('y2', height / 2 )
.attr('stroke', 'grey')
svg.append('rect')
.attr('x', width / 2)
.attr('y', height / 2 - 4)
.attr('height', 8)
.attr('width', d => xScale(demoData.total_pop / demoData.pop_mile ) )
.attr('rx', 5)
.attr('fill', red)
svg.append('rect')
.attr('x', d => width / 2 - xScale(demoData.total_hh / demoData.hh_mile))
.attr('y', height / 2 - 4)
.attr('height', 8)
.attr('width', d => xScale(demoData.total_hh / demoData.hh_mile) )
.attr('rx', 5)
.attr('fill', red)
svg.append('circle')
.attr('cx', width/ 2)
.attr('cy', height / 2)
.attr('r', 8)
.attr('fill', red)
const numbers = svg.append('g')
.attr('transform', `translate(0,${height / 2 + 20})`)
.attr('font-size', '14px')
numbers
.selectAll('text')
.data(labelPositions)
.enter()
.append('text')
.attr('x', d => d)
.text((d, i) => Object.values(demoData)[i].toLocaleString('en'))
.attr('fill', (d, i) => ['total_pop', 'total_hh'].includes(Object.keys(demoData)[i]) ? red : 'black' )
.attr('font-weight', (d, i) => ['total_pop', 'total_hh'].includes(Object.keys(demoData)[i]) ? 600 : 400 )
.attr('text-anchor', (d, i) => ['pop_mile', 'total_pop'].includes(Object.keys(demoData)[i]) ? 'end' : 'start' )
const labels = svg.append('g')
.attr('transform', `translate(0,${height / 2 - 15})`)
.attr('font-size', '16px')
labels.append('text')
.attr('x', labelPositions[1])
.attr('text-anchor', 'end')
.attr('fill', red)
.text('Inside Boundary')
labels.append('text')
.attr('x', width)
.attr('text-anchor', 'end')
.text('Within 2 mi')
labels.append('text')
.attr('x', width / 2 - 5)
.attr('text-anchor', 'end')
.text('← Housing')
labels.append('text')
.attr('x', width / 2 + 5)
.text('Population →')
return svg.node()
}
245 / 10
perimeter = {
return {...perimeterResponse.features[0].geometry, spatialReference: {
"wkid": 4326
}}
}
function getDemographics(queryParams) {
const url = new URL("https://services.arcgis.com/P3ePLMYs2RVChkJx/ArcGIS/rest/services/ACS_Highlights_Population_Housing_Basics_Boundaries/FeatureServer/2/query");
Object.keys(queryParams).forEach(key => url.searchParams.append(key, queryParams[key]));
return fetch(url)
.then(response => response.json())
.catch(error => console.error(error));
}
demographics = await getDemographics(query3)
demographicsMile = await getDemographics({...query3, distance: 1609 * 2})
demoData = {
const summarize = (data) => {
return data.features.map(d => {
const {B25002_001E, B01001_001E} = d.properties
return {hh:B25002_001E, pop: B01001_001E }
})
}
const data = summarize(demographics)
const bufferData = summarize(demographicsMile)
return {total_hh: d3.sum(data, d => d.hh),
total_pop: d3.sum(data, d => d.pop),
hh_mile: d3.sum(bufferData, d => d.hh),
pop_mile: d3.sum(bufferData, d => d.pop)
}
}
height = 600
getPctBefore = (i, data) => d3.sum(data.slice(0, i), d => d.pct)
d3 = require("d3@6")
ESRI = require("esri/geometry/Polygon")
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.