Public
Edited
Jun 7, 2023
Importers
smellMyCityData = d3.json('https://philipmathieu.github.io/stinky-cache/response.json')
startDate = new Date(Math.min(...smellMyCityData.map(d => d.observed_at)) * 1000)
endDate = new Date(Math.max(...smellMyCityData.map(d => d.observed_at)) * 1000)
weatherData = fetch("https://philipmathieu.github.io/stinky-weather-cache/response.json").then(response => {
console.log(response);
return response.json();
})
weatherData.map(d => new Date(d.DATE) / 1000)
// Generate a mapping from datetime to wind direction
winds = weatherData
.map((d) => [d.DATE, windScale(parseInt(d.WDF5))])
// Use an Array.reduce() to "accumulate" everything into one Object
.reduce((o, key) => ({ ...o, [key[0]]: key[1]}), {})
// Use d3 to make wind directions "snap" to the compass options
windScale = d3.scaleQuantize()
.domain([0,360])
.range(windDirections)
windDirections = [0, 45, 90, 135, 180, 225, 270, 315]
mapLibreData = {
const dateParse = d3.timeParse("%s");
const dateFormat = d3.timeFormat("%I %p, %B %d, %Y");
return {
type: "FeatureCollection",
features: smellMyCityData.map(x => ({
type: "Feature",
geometry: {
type: "Point",
coordinates: [
x.longitude,
x.latitude
]
},
properties: {
description: x.smell_description,
timestamp: x.observed_at,
date: dateFormat(dateParse(x.observed_at)),
datetime: (new Date(x.observed_at * 1000)),
winddir: winds[(new Date(x.observed_at *1000)).toISOString().substring(0,10)]
}
}))
};
}
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