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demo.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" />
<meta http-equiv="X-UA-Compatible" content="ie=edge" />
<title>gridviz-leaflet demo</title>
<link
rel="stylesheet"
href="https://unpkg.com/[email protected]/dist/leaflet.css"
integrity="sha256-kLaT2GOSpHechhsozzB+flnD+zUyjE2LlfWPgU04xyI="
crossorigin=""
/>
<style>
span,
strong {
font-size: 16px;
cursor: pointer;
}
#map {
height: 98vh;
width: 100%;
}
#gridviz-tooltip,
#gridviz-legend {
z-index: 99999999999999;
}
#gridviz-legend {
position: absolute;
bottom: 0px;
left: 0px;
background: white;
padding: 10px;
}
</style>
</head>
<body>
<script src="https://unpkg.com/[email protected]/dist/leaflet.js" integrity="sha256-WBkoXOwTeyKclOHuWtc+i2uENFpDZ9YPdf5Hf+D7ewM=" crossorigin=""></script>
<script src="https://unpkg.com/gridviz/dist/gridviz.min.js"></script>
<script src="https://unpkg.com/gridviz-eurostat"></script>
<script src="../build/leaflet-gridviz.js"></script>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/d3-interpolate@3"></script>
<script src="https://cdn.jsdelivr.net/npm/d3-scale-chromatic@3"></script>
<script
src="https://cdnjs.cloudflare.com/ajax/libs/proj4js/2.9.0/proj4.js"
integrity="sha512-lO8f7sIViqr9x5VE6Q72PS6f4FoZcuh5W9YzeSyfNRJ9z/qL3bkweiwG6keGzWS0BQzNDqAWXdBhYzFD6KffIw=="
crossorigin="anonymous"
referrerpolicy="no-referrer"
></script>
<script
src="https://cdnjs.cloudflare.com/ajax/libs/proj4leaflet/1.0.2/proj4leaflet.min.js"
integrity="sha512-GsAYl1wxzWW6azVpXkhyYfjMb2LbaOnlrqWMBdAk9xDcilinFvGMN+48Ajp/10u/9lcnh8YyS2CYNgung7ewHg=="
crossorigin="anonymous"
referrerpolicy="no-referrer"
></script>
<div id="map"></div>
<div id="gridviz-legend"></div>
<script>
// define our projection
proj4.defs('EPSG:3035', '+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs +type=crs')
async function main() {
// get 3035 basemap capabilities
const response = await fetch('https://ec.europa.eu/statistical-atlas/rest/services/Basemaps/StatAtlas_Continents_2021_3035/MapServer?f=pjson')
const basemap = await response.json()
// define EPSG 3035
// for gisco map-proxy
const GISCOCRS = new L.Proj.CRS('EPSG:3035', '+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=m +no_defs', {
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,
],
bounds: L.bounds([-1031235.09091, -3364908.9791], [8000000, 11736009]),
origin: [0, 6000000],
})
// for esri map services
let resolutions = []
for (let i = 0; i < basemap.tileInfo.lods.length; i++) {
resolutions.push(basemap.tileInfo.lods[i].resolution)
}
let bounds = L.bounds(L.point(basemap.fullExtent.xmin, basemap.fullExtent.ymin), L.point(basemap.fullExtent.xmax, basemap.fullExtent.ymax))
let origin = [basemap.tileInfo.origin.x, basemap.tileInfo.origin.y]
const ESRICRS = new L.Proj.CRS(
'EPSG:3035',
'+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs +type=crs',
{
//bounds: L.bounds([-1031235.09091, -3364908.9791], [8000000, 11736009]),
//origin: [0, 6000000],
origin: origin,
bounds: bounds,
resolutions: resolutions,
tileSize: basemap.tileInfo.rows,
}
)
ESRICRS.distance = L.CRS.Earth.distance
ESRICRS.R = 6378137
// create leaflet map
let leafletMap = new L.Map('map', {
crs: GISCOCRS,
center: ['50.00754', '19.98211'],
maxBounds: {
_northEast: {
lat: -38,
lng: 173,
},
_southWest: {
lat: -57,
lng: -152,
},
},
maxBoundsViscosity: 1,
maxZoom: 17,
minZoom: 1,
touchZoom: true,
zoom: 5,
zoomAnimation: false,
zoomControl: false,
})
// add basemap(s)
let osm = L.tileLayer('https://gisco-services.ec.europa.eu/maps/tiles/OSMCartoV4Background/EPSG3035/{z}/{x}/{y}.png', {
type: 'tiles',
maxZoom: 19,
minZoom: 0,
attribution:
"<a class='wt-link' href='//openstreetmap.org/copyright'>© OpenStreetMap</a> contributors <a class='wt-link' href='//ec.europa.eu/eurostat/web/gisco'>© GISCO</a>",
noWrap: false,
}).addTo(leafletMap)
let continents = L.tileLayer(
'https://ec.europa.eu/statistical-atlas/rest/services/Basemaps/StatAtlas_Continents_2021_3035/MapServer/tile/{z}/{y}/{x}',
{
maxZoom: 19,
minZoom: 0,
errorTileUrl: 'assets/image/error-tile.png',
noWrap: true,
opacity: 1,
tileSize: 256,
tms: false,
}
)
const labelLayer = new gridviz.LabelLayer(gridviz_eurostat.getEuronymeLabelLayer('EUR', 50, { ex: 1.8, fontFamily: 'Arial', exSize: 1.8 }))
// initialise gridviz layers
let shapeColorSizeStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
legendContainer: document.getElementById('gridviz-legend'),
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
const dataset = new gridviz.MultiResolutionDataset(
//the resolutions
[1000, 2000, 5000, 10000, 20000, 50000, 100000],
//the function returning each dataset from the resolution
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiledgrids/main/data/europe/population2/' + resolution + 'm/'
)
)
//define color for each cell c\
const DATAFIELD = 'TOT_P_2021'
const style = new gridviz.ShapeColorSizeStyle({
color: (c, r, z, viewScale) => viewScale(+c[DATAFIELD]),
viewScale: gridviz.viewScaleColor({ valueFunction: (c) => +c[DATAFIELD], colorScale: d3.interpolateYlOrRd, stretching: gridviz.logarithmicScale(-7) }),
})
//add legend
const legend = new gridviz.ColorLegend({
//title: 'Change in number of inhabitants',
ticks: 4,
width: 290,
colorScale: d3.interpolateYlOrRd,
textScale: (t, viewScale) => viewScale?.invert(t),
tickFormat: Math.round,
})
style.legends = [legend]
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style], { minPixelsPerCell: 4 }), labelLayer]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let tanakaStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define dataset
const dataset = new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiledgrids/main/data/europe/elevation/5000m/'
)
//define style
const styles = gridviz.TanakaStyle.get(
(cell) => cell.elevation,
[100, 200, 500, 1000, 2000],
['#ffffd4', '#fee391', '#fec44f', '#fe9929', '#d95f0e', '#993404']
)
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, styles)]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let joyplotStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
//define dataset
const dataset = new gridviz.CSVGrid(
gridvizMap,
'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/csv/Europe/pop_2018_10km.csv',
10000
)
//define style
const style = new gridviz.JoyPlotStyle({
height: (c) => Math.sqrt(c.population) * 50,
lineColor: () => 'white',
lineWidth: (y, ys, r, z) => (z < 2000 ? 2 * z : 1 * z),
fillColor: () => 'black',
})
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style])]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let legoStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
const dataset = new gridviz.MultiResolutionDataset(
[500, 1000, 2000, 5000, 10000, 20000, 50000, 100000],
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiledgrids/main/data/europe/clc/' + resolution + 'm/'
)
)
//define colors for categories
const clcColors = {
1: '#e6004d',
2: '#ff0000',
3: '#cc4df2',
4: '#cc0000',
5: '#e6cccc',
6: '#e6cce6',
7: '#a600cc',
8: '#a64d00',
9: '#ff4dff',
10: '#ffa6ff',
11: '#ffe6ff',
12: '#ffffa8',
13: '#ffff00',
14: '#e6e600',
15: '#e68000',
16: '#f2a64d',
17: '#e6a600',
18: '#e6e64d',
19: '#ffe6a6',
20: '#ffe64d',
21: '#e6cc4d',
22: '#f2cca6',
23: '#80ff00',
24: '#00a600',
25: '#4dff00',
26: '#ccf24d',
27: '#a6ff80',
28: '#a6e64d',
29: '#a6f200',
30: '#e6e6e6',
31: '#cccccc',
32: '#ccffcc',
33: '#000000',
34: '#a6e6cc',
35: '#a6a6ff',
36: '#4d4dff',
37: '#ccccff',
38: '#e6e6ff',
39: '#a6a6e6',
40: '#00ccf2',
41: '#80f2e6',
42: '#00ffa6',
43: '#a6ffe6',
44: '#e6f2ff',
48: 'gray',
}
//define labels for categories
const clcLabels = {
1: 'Continuous urban fabric',
2: 'Discontinuous urban fabric',
3: 'Industrial or commercial units',
4: 'Road and rail networks and associated land',
5: 'Port areas',
6: 'Airports',
7: 'Mineral extraction sites',
8: 'Dump sites',
9: 'Construction sites',
10: 'Green urban areas',
11: 'Sport and leisure facilities',
12: 'Non-irrigated arable land',
13: 'Permanently irrigated land',
14: 'Rice fields',
15: 'Vineyards',
16: 'Fruit trees and berry plantations',
17: 'Olive groves',
18: 'Pastures',
19: 'Annual crops associated with permanent crops',
20: 'Complex cultivation patterns',
21: 'Land principally occupied by agriculture with significant areas of natural vegetation',
22: 'Agro-forestry areas',
23: 'Broad-leaved forest',
24: 'Coniferous forest',
25: 'Mixed forest',
26: 'Natural grasslands',
27: 'Moors and heathland',
28: 'Sclerophyllous vegetation',
29: 'Transitional woodland-shrub',
30: 'sands',
31: 'Bare rocks',
32: 'Sparsely vegetated areas',
33: 'Burnt areas',
34: 'Glaciers and perpetual snow',
35: 'Inland marshes',
36: 'Peat bogs',
37: 'Salt marshes',
38: 'Salines',
39: 'Intertidal flats',
40: 'Water courses',
41: 'Water bodies',
42: 'Coastal lagoons',
43: 'Estuaries',
44: 'Sea and ocean',
48: 'No data',
}
//define lego style
const legoStyle = gridviz.LegoStyle.getCategory((cell) => cell.clc, clcColors)
//add layer to map
gridvizMap.layers = [
new gridviz.GridLayer(dataset, legoStyle, {
minPixelsPerCell: 7,
cellInfoHTML: (cell) => clcLabels[cell.clc],
}),
]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let pillarStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define dataset
const dataset = new gridviz.CSVGrid(
gridvizMap,
'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/csv/Europe/pop_2018_10km.csv',
10000
)
//define style
const style = new gridviz.PillarStyle({
height: (cell, resolution, z) => 0.3 * cell.population,
simple: (resolution, z) => z > 1000,
})
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style])]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let imageStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define dataset
const dataset = new gridviz.CSVGrid(
gridvizMap,
'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/csv/Europe/pop_2018_10km.csv',
10000
)
//define image style
const style = new gridviz.ImageStyle({
// image URL from cell
image: (cell) => {
if (cell.population > 70000) return 'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/images/kitten_dark.png'
else if (cell.population > 7000)
return 'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/images/kitten_gray.png'
else if (cell.population > 1500)
return 'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/images/kitten_white.png'
},
// cell size
size: (c, r, z, viewScale) => r * 0.9,
})
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style])]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let textStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
const dataset = new gridviz.MultiResolutionDataset(
[500, 1000, 2000, 5000, 10000, 20000, 50000, 100000],
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiledgrids/main/data/europe/elevation/' + resolution + 'm/'
)
)
//define style
const style = new gridviz.TextStyle({
text: (cell) => cell.elevation,
viewScale: (cells) => d3.extent(cells, (cell) => +cell.elevation),
color: (cell, resolution, z, [min, max]) => d3.interpolateSpectral(1 - (cell.elevation - min) / (max - min)),
fontSize: (cell, r) => 0.4 * r,
})
//define grid layer
const gridLayer = new gridviz.GridLayer(dataset, [style], {
minPixelsPerCell: 20,
cellInfoHTML: (cell) => cell.elevation + ' m',
})
//add layer to map
gridvizMap.layers = [gridLayer]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let trivariateStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define dataset
const dataset = new gridviz.MultiResolutionDataset(
[100, 200, 500, 1000, 2000, 5000, 10000, 20000, 50000],
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiled-grid-germany-zensus2011/main/out/ALTER_KURZcsv/' + resolution + 'm/'
),
{
preprocess: (c) => {
/*population by age (5 age groups) ALTER_KURZ 1 Under 18 2 18 - 29 3 30 - 49 4 50 - 64 5 65 and over */
//total
c.TOT = 0
for (let i = 1; i <= 5; i++) c.TOT += +c[i]
//define 3 age groups:
//<18
c.yo = +c['1']
//between
c.mi = +c['2'] + +c['3'] + +c['4']
//>65
c.ol = +c['5']
},
}
)
//define ternary classifier
const trivariateClassifier = gridviz.ternaryColorClassifier(
//the three groups
['yo', 'mi', 'ol'],
//the function returning the total of the three
(c) => c.TOT,
//the colors
['#4daf4a', '#377eb8', '#e41a1c'],
{
//the center point of the ternary classification
center: [0.17, 0.63, 0.2],
//the size of the central class
centerCoefficient: 0.15,
}
)
//define style
const classNumberSize = 4
const style = new gridviz.ShapeColorSizeStyle({
color: (c) => trivariateClassifier(c) || 'black',
viewScale: gridviz.viewScaleQuantile({
valueFunction: (c) => +c.TOT,
classNumber: classNumberSize,
minSizePix: 3,
maxSizeFactor: 1.1,
}),
size: (c, r, z, viewScale) => viewScale(c.TOT),
shape: () => 'circle',
})
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style], { minPixelsPerCell: 4 })]
//legend
style.legends = [
new gridviz.TernaryLegend({
title: 'Age',
classifier: trivariateClassifier,
width: 90,
tooltip: map.tooltip,
texts: {
0: 'Over representation of persons aged <18',
1: 'Over representation of persons aged 18 to 64',
2: 'Over representation of persons aged >=65',
12: 'Under representation of persons aged <18',
'02': 'Under representation of<br>persons aged 18 to 64',
'01': 'Under representation of persons aged >=65',
center: 'Balanced representation of age groups',
},
leftText: '<18',
topText: '18 to 64',
rightText: '>65',
centerCoefficient: 0.5,
}),
]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let mosaicStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define dataset
const dataset = new gridviz.CSVGrid(
gridvizMap,
'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/csv/Europe/pop_2018_10km.csv',
10000
)
//define color for each cell c
const colorFunction = (cell) => {
if (cell.population > 150000) return '#993404'
else if (cell.population > 60000) return '#d95f0e'
else if (cell.population > 20000) return '#fe9929'
else if (cell.population > 6000) return '#fec44f'
else if (cell.population > 1500) return '#fee391'
else return '#ffffd4'
}
//define style
const style = new gridviz.MosaicStyle({ color: colorFunction })
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style])]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let dotDensityStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define dataset
const dataset = new gridviz.CSVGrid(
gridvizMap,
'https://raw.githubusercontent.com/eurostat/gridviz/master/assets/csv/Europe/pop_2018_10km.csv',
10000
)
//define style
const style = new gridviz.DotDensityStyle({
dotNumber: (c, r, z) => c.population / z / 5,
dotSize: (r, z) => 1.2 * z,
color: () => '#FF5733',
})
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style])]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let compositionStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
const dataset = new gridviz.MultiResolutionDataset(
[200, 400, 600, 1000, 2000, 5000, 10000, 20000, 50000, 100000],
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiled-grid-france-filosofi/main/out/csv/met/men/2019/' + resolution + 'm/'
),
{
preprocess: (c) => {
c.men_2_4ind = +c.men - +c.men_1ind - +c.men_5ind
},
}
)
//define style
const style = new gridviz.CompositionStyle({
color: {
men_1ind: '#7570b3', //blue
men_2_4ind: '#1b9e77', //green
men_5ind: '#d95f02', //orange
},
type: () => 'ring',
stripesOrientation: () => 0,
size: (c, r, z, scale) => scale(+c.men),
viewScale: gridviz.viewScaleQuantile({ valueFunction: (c) => +c.men, classNumber: 5, minSizePix: 8 }),
offsetAngle: () => 90,
})
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style], { minPixelsPerCell: 18 })]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let isometricFenceStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
const dataset = new gridviz.MultiResolutionDataset(
[200, 400, 600, 1000, 2000, 5000, 10000, 20000, 50000, 100000],
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiled-grid-france-filosofi/main/out/csv/met/ind/2019/' + resolution + 'm/'
),
{
preprocess: (c) => {
//aggregate to 3 age groups only
c.ind_0_24 = +c.ind_0_3 + +c.ind_4_5 + +c.ind_6_10 + +c.ind_11_17 + +c.ind_18_24
c.ind_25_64 = +c.ind_25_39 + +c.ind_40_54 + +c.ind_55_64
c.ind_65p = +c.ind_65_79 + +c.ind_80p
},
}
)
//define style
const style = new gridviz.IsoFenceStyle({
color: {
ind_0_24: 'rgb(240, 112, 74)',
ind_25_64: 'rgb(254, 221, 141)',
ind_65p: 'rgb(66, 136, 181)',
},
angle: 50,
viewScale: gridviz.viewScale({ valueFunction: (c) => +c.ind, stretching: gridviz.logarithmicScale(-7) }),
height: (c, r, z, viewScale) => 1.5 * viewScale(c.ind),
})
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [style], { minPixelsPerCell: 25 })]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let smoothingStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
const dataset = new gridviz.MultiResolutionDataset(
[1000, 2000, 5000, 10000, 20000, 50000, 100000],
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiledgrids/main/data/europe/population2/' + resolution + 'm/'
)
)
//define style
const sig = 10
const smoothingStyle = new gridviz_smoothing.KernelSmoothingStyle({
value: (cell) => +cell.TOT_P_2021,
filterSmoothed: (value) => value > 0.001,
sigma: (resolution, z) => (resolution * sig) / 10,
})
let webgl = true
if (webgl) {
smoothingStyle.factor = 3
const scale = gridviz.exponentialScale(-20)
smoothingStyle.styles = [
new gridviz.SquareColorWebGLStyle({
color: (t) => d3.interpolateYlOrRd(t), //d3.interpolateCividis, interpolateSpectral
viewScale: (cells) => d3.max(cells, (cell) => +cell.ksmval),
tFun: (cell, resolution, z, max) => {
const t = scale(cell.ksmval / max)
return t
},
}),
]
} else {
smoothingStyle.factor = 2
smoothingStyle.styles = [
new gridviz.ShapeColorSizeStyle({
color: (c, r, z, viewScale) => viewScale(c.ksmval),
viewScale: gridviz.viewScaleColor({
valueFunction: (c) => +c.ksmval,
colors: d3.schemeYlOrRd[7],
stretching: gridviz.logarithmicScale(-7),
}),
}),
]
}
//add layer to map
gridvizMap.layers = [new gridviz.GridLayer(dataset, [smoothingStyle], { minPixelsPerCell: 3 })]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
let SquareColorCategoryWebGLStyleLayer = new L.GridvizLayer({
proj: 'EPSG:3035',
onLayerDidMountCallback: (gridvizMap) => {
//define multi resolution dataset
const dataset = new gridviz.MultiResolutionDataset(
[500, 1000, 2000, 5000, 10000, 20000, 50000, 100000],
(resolution) =>
new gridviz.TiledGrid(
gridvizMap,
'https://raw.githubusercontent.com/jgaffuri/tiledgrids/main/data/europe/clc/' + resolution + 'm/'
)
)
//define colors for categories
const clcColors = {
1: '#e6004d',
2: '#ff0000',
3: '#cc4df2',
4: '#cc0000',
5: '#e6cccc',
6: '#e6cce6',
7: '#a600cc',
8: '#a64d00',
9: '#ff4dff',
10: '#ffa6ff',
11: '#ffe6ff',
12: '#ffffa8',
13: '#ffff00',
14: '#e6e600',
15: '#e68000',
16: '#f2a64d',
17: '#e6a600',
18: '#e6e64d',
19: '#ffe6a6',
20: '#ffe64d',
21: '#e6cc4d',
22: '#f2cca6',
23: '#80ff00',
24: '#00a600',
25: '#4dff00',
26: '#ccf24d',
27: '#a6ff80',
28: '#a6e64d',
29: '#a6f200',
30: '#e6e6e6',
31: '#cccccc',
32: '#ccffcc',
33: '#000000',
34: '#a6e6cc',
35: '#a6a6ff',
36: '#4d4dff',
37: '#ccccff',
38: '#e6e6ff',
39: '#a6a6e6',
40: '#00ccf2',
41: '#80f2e6',
42: '#00ffa6',
43: '#a6ffe6',
44: '#e6f2ff',
48: 'gray',
}
//define labels for categories
const clcLabels = {
1: 'Continuous urban fabric',
2: 'Discontinuous urban fabric',
3: 'Industrial or commercial units',
4: 'Road and rail networks and associated land',
5: 'Port areas',
6: 'Airports',
7: 'Mineral extraction sites',
8: 'Dump sites',
9: 'Construction sites',
10: 'Green urban areas',
11: 'Sport and leisure facilities',
12: 'Non-irrigated arable land',
13: 'Permanently irrigated land',
14: 'Rice fields',
15: 'Vineyards',
16: 'Fruit trees and berry plantations',
17: 'Olive groves',
18: 'Pastures',
19: 'Annual crops associated with permanent crops',
20: 'Complex cultivation patterns',
21: 'Land principally occupied by agriculture with significant areas of natural vegetation',
22: 'Agro-forestry areas',
23: 'Broad-leaved forest',
24: 'Coniferous forest',
25: 'Mixed forest',
26: 'Natural grasslands',
27: 'Moors and heathland',
28: 'Sclerophyllous vegetation',
29: 'Transitional woodland-shrub',
30: 'sands',
31: 'Bare rocks',
32: 'Sparsely vegetated areas',
33: 'Burnt areas',
34: 'Glaciers and perpetual snow',
35: 'Inland marshes',
36: 'Peat bogs',
37: 'Salt marshes',
38: 'Salines',
39: 'Intertidal flats',
40: 'Water courses',
41: 'Water bodies',
42: 'Coastal lagoons',
43: 'Estuaries',
44: 'Sea and ocean',
48: 'No data',
}
//define style
const style = new gridviz.SquareColorCategoryWebGLStyle({
code: (cell) => cell.clc,
color: clcColors,
})
//add layer to map
gridvizMap.layers = [
new gridviz.GridLayer(dataset, [style], {
minPixelsPerCell: 4,
cellInfoHTML: (cell) => clcLabels[cell.clc],
}),
]
//custom opacity
gridvizMap._canvas.style.opacity = 0.7
},
})
// add first gridviz layer to the map
shapeColorSizeStyleLayer.addTo(leafletMap)
// add layer toggle
let baseMaps = {
OpenStreetMap: osm,
Continents: continents,
}
let gridvizLayers = {
'Shape / Color / Size': shapeColorSizeStyleLayer,
'Joyplot style': joyplotStyleLayer,
'Lego style': legoStyleLayer,
'Pillar style': pillarStyleLayer,
'Image style': imageStyleLayer,
'Text style': textStyleLayer,
'Trivariate style': trivariateStyleLayer,
'Mosaic style': mosaicStyleLayer,
'Dot density style': dotDensityStyleLayer,
'Composition style': compositionStyleLayer,
'Isometric fence style': isometricFenceStyleLayer,
'Kernel smoothing style': smoothingStyleLayer,
'Square Color Category WebGL': SquareColorCategoryWebGLStyleLayer,
'Tanaka style': tanakaStyleLayer,
}
let layerControl = L.control.layers(baseMaps, gridvizLayers).addTo(leafletMap)
// Adding titles to basemap sections
const basemapTitle = L.DomUtil.create('div', 'basemap-title')
basemapTitle.innerHTML = '<strong>Basemaps</strong>'
layerControl._baseLayersList.prepend(basemapTitle)
const overlayTitle = L.DomUtil.create('div', 'overlay-title')
overlayTitle.innerHTML = '<strong>Gridviz styles</strong>'
layerControl._overlaysList.prepend(overlayTitle)
// change basemap might require a change in CRS definition
leafletMap.on('baselayerchange', function (e) {
if (e.name == 'Continents') {
leafletMap.options.crs = ESRICRS
} else {
leafletMap.options.crs = GISCOCRS
}
let center, zoom
try {
center = leafletMap.getCenter()
zoom = leafletMap.getZoom()
} catch {
center = L.latLng(50.5, 19)
zoom = 5
}
//leafletMap.setView(center, zoom)
leafletMap._resetView(center, zoom)
})
}
main()
</script>
</body>
</html>