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image_chernoff.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Gridviz chernoff faces example</title>
<style>
html,
body {
height: 100%; /* Ensure the parent elements have a height so that the map can take up 100% correctly */
margin: 0; /* Remove default margins to prevent scrolling */
overflow: hidden; /* Prevent potential scrollbars */
}
</style>
</head>
<body>
<div id="map" style="height: 600px; width: 1000px"></div>
<script src="../../dist/gridviz.js"></script>
<script src="https://cdn.jsdelivr.net/npm/gridviz-parquet@1.0.2"></script>
<script src="https://cdn.jsdelivr.net/npm/gridviz-eurostat@2.0.2"></script>
<script>
//define map with initial view
const map = new gridviz.Map(document.getElementById('map'), {
x: 4500000,
y: 2900000,
z: 200,
}).addZoomButtons()
//define layers
const boundaryLayer = new gridviz.GeoJSONLayer(gridviz_eurostat.getEurostatBoundariesLayer())
const labelLayer = new gridviz.LabelLayer(gridviz_eurostat.getEuronymeLabelLayer())
const backgroundLayer1 = new gridviz.BackgroundLayer({
url: 'https://gisco-services.ec.europa.eu/maps/tiles/OSMPositronBackground/EPSG3035/',
resolutions: [
156543.03392804097, 78271.51696402048, 39135.75848201024, 19567.87924100512,
9783.93962050256, 4891.96981025128, 2445.98490512564, 1222.99245256282, 611.49622628141,
305.748113140705, 152.8740565703525, 76.43702828517625, 38.21851414258813,
19.109257071294063, 9.554628535647032, 4.777314267823516, 2.388657133911758,
1.19432856695, 0.597164283477939,
],
origin: [0, 6000000],
visible: (z) => z < 50,
})
const backgroundLayer2 = new gridviz.BackgroundLayer({
url: 'https://raw.githubusercontent.com/jgaffuri/mbxyz/main/pub/elevation_shading/',
resolutions: Array.from({ length: 9 }, (_, i) => 28.00132289714475 * Math.pow(2, 10 - i)),
origin: [0, 6000000],
filterColor: (zf) => '#ffffff60',
visible: (z) => z >= 50,
})
//function to compute the percentage of a cell value
const computePercentage = (c, col, totalFunction) => {
const total = totalFunction(c)
if (total == 0) {
c['s' + col] = undefined
return
}
c['s' + col] = (+c[col] / total) * 100
//if (c["s" + col] < 0 || c["s" + col] > 100 || isNaN(total)) console.log("Unexpected rate for " + col + ": " + c["s" + col], c[col], total)
c['s' + col] = c['s' + col] > 100 ? 100 : c['s' + col] < 0 ? 0 : c['s' + col]
}
//define dataset
const dataset = new gridviz.MultiResolutionDataset(
//the resolutions
[1000, 2000, 5000, 10000, 20000, 50000, 100000],
//the dataset for each resolution
(resolution) =>
new gviz_par.TiledParquetGrid(
map,
'https://raw.githubusercontent.com/jgaffuri/tiled-census2021/main/pub/v2/parquet/' +
resolution +
'/',
{
//process the grid cells
preprocess: (c) => {
if (!c.T || +c.T == 0) return false
//male/female index
//if (+c.F + +c.M != c.T) console.error("Error found in sex total")
c.indMF = +c.M - +c.F
c.indMF = (100 * c.indMF) / (+c.M + +c.F)
if (isNaN(c.indMF)) c.indMF = 0
//compute percentages
computePercentage(c, 'F', (c) => +c.F + +c.M)
computePercentage(c, 'M', (c) => +c.F + +c.M)
computePercentage(c, 'Y_LT15', (c) => +c.Y_LT15 + +c.Y_1564 + +c.Y_GE65)
computePercentage(c, 'Y_1564', (c) => +c.Y_LT15 + +c.Y_1564 + +c.Y_GE65)
computePercentage(c, 'Y_GE65', (c) => +c.Y_LT15 + +c.Y_1564 + +c.Y_GE65)
computePercentage(c, 'EMP', (c) => c.T) //TODO sure?
computePercentage(c, 'NAT', (c) => +c.NAT + +c.EU_OTH + +c.OTH)
computePercentage(c, 'EU_OTH', (c) => +c.NAT + +c.EU_OTH + +c.OTH)
computePercentage(c, 'OTH', (c) => +c.NAT + +c.EU_OTH + +c.OTH)
computePercentage(c, 'SAME', (c) => +c.SAME + +c.CHG_IN + +c.CHG_OUT)
computePercentage(c, 'CHG_IN', (c) => +c.SAME + +c.CHG_IN + +c.CHG_OUT)
computePercentage(c, 'CHG_OUT', (c) => +c.SAME + +c.CHG_IN + +c.CHG_OUT)
},
}
)
)
//age classifier - 3/4 classes
const ageClassifier = gridviz.ternaryClassifier(['sY_LT15', 'sY_1564', 'sY_GE65'], (c) => 100, {
center: [0.15, 0.64, 0.21],
withMixedClasses: false,
})
//sex classifier
const sexClassifier = (c) => (c.indMF <= 0 ? 'f' : 'm')
//employment classifier
const breaks = [45, 55]
const empClassifier = gridviz.classifier(breaks)
//classificatio for size / total population
const classNumberSize = 3
//define image style
const style = new gridviz.ImageStyle({
//return image URL from cell, using https://github.com/jgaffuri/chernoff-faces
image: (c) => {
//age
const a = +ageClassifier(c)
const ageCode = a == 0 ? 'y' : a == 1 ? 'm' : 'o'
//sex
const sexCode = sexClassifier(c)
//employment
const empCode = empClassifier(c.sEMP)
return (
'https://jgaffuri.github.io/chernoff-faces/out/v1/' +
sexCode +
ageCode +
empCode +
'.png'
)
},
//return image size, based on total population
size: (c, r, z, viewScale) => viewScale(c.T),
viewScale: gridviz.viewScaleQuantile({
valueFunction: (c) => +c.T,
classNumber: classNumberSize,
minSizePix: 30,
maxSizeFactor: 0.9,
}),
blendOperation: (z) => (z < 50 ? 'multiply' : 'source-over'),
})
const gridLayer = new gridviz.GridLayer(dataset, [style])
gridLayer.minPixelsPerCell = 40
gridLayer.cellInfoHTML = (c) => {
const a = ageClassifier(c)
const s = sexClassifier(c)
const e = empClassifier(c.sEMP)
console.log(c.EMP)
return (
'' +
c.T +
' person' +
(c.T ? 's' : '') +
'<br>Over representation of <b>' +
(s == 'm' ? 'men' : 'women') +
'</b>' +
'<br>' +
(a == '0'
? 'younger than <b>15</b>'
: a == '1'
? 'aged between <b>15 and 64</b>'
: 'aged <b>65</b> and older') +
'<br>with <b>' +
(e == 0 ? 'low' : e == 1 ? 'average' : 'high') +
'</b> employment'
)
}
//add layers to map
map.layers = [backgroundLayer1, backgroundLayer2, gridLayer, boundaryLayer, labelLayer]
</script>
</body>
</html>