import {continentSelector} from "@bumbeishvili/utils"
viewof continent = continentSelector()
continent
viewof continent1 = createContinentSelector({
width:600,
ignore:['Antarctica','Oceania'],
strokeOpacity:1,
fillOpacity:0.5,
landColor:'gray'
})
continent1
createContinentSelector = function(params) {
const svgWidth = params&¶ms.width||300;
const ignore = params&¶ms.ignore||[];
const landColor = params&¶ms.landColor||'#00E0FF'
let strokeOpacity = params&¶ms.strokeOpacity||1;
let fillOpacity = params&¶ms.fillOpacity||0.5
if(params){
if(!isNaN(params.strokeOpacity)){
strokeOpacity = params.strokeOpacity
}
}
const height = Math.round((210 / 400) * svgWidth);
const svg = d3.select(DOM.svg(svgWidth, height))
.on('click.reset',function(d,i,e,arr){
console.log(d3.event.srcElement.tagName)
if(d3.event.srcElement.tagName =='svg'){
svg.selectAll('.land')
.each(v => v.clicked = false)
.attr('fill', landColor)
.attr('fill-opacity',fillOpacity)
.classed('selected', false)
output('World')
}
})
function output(value) {
const node = svg.node();
node.value = value;
node.dispatchEvent(new CustomEvent('input'))
}
const projection = d3.geoNaturalEarth1()
.fitSize([svgWidth, height], {
type: "Sphere"
});
const graticule = d3.geoGraticule10();
const path = d3.geoPath()
.projection(projection)
svg
.selectAll('.graticule')
.data([graticule])
.join('path')
.attr('class', 'graticule')
.attr('d', path)
.attr('stroke-width', 0.5*svgWidth/1000)
.attr('fill', 'none')
.attr('stroke', landColor)
.attr('pointer-events','none')
svg
.selectAll('.land')
.data(land.features)
.join('path')
.attr('class', 'land')
.attr('d', path)
.attr('fill', landColor)
.attr('stroke', '#CCCCCC')
.attr('stroke-width', 0.5)
.attr('stroke-opacity',strokeOpacity)
.attr('fill-opacity',fillOpacity)
.on('mouseenter.continent', function(d) {
if(ignore.includes(d.properties.CONTINENT)) return;
d3.select(this).classed('hover', true).transition().attr('stroke-opacity',1).attr('stroke', '#FF0000').attr('stroke-width', 2)
})
.on('mouseleave.continent', function(d) {
if(ignore.includes(d.properties.CONTINENT)) return;
d3.select(this)
.classed('hover', false)
.transition()
.attr('stroke','#CCCCCC')
.attr('stroke-opacity',strokeOpacity)
.attr('stroke-width', 0.5)
})
.on('click.continent', function(d) {
if(ignore.includes(d.properties.CONTINENT)) return;
svg.selectAll('.land')
.filter(v => v != d).each(v => v.clicked = false)
.attr('fill', landColor)
.attr('fill-opacity',fillOpacity)
.classed('selected', false)
d.clicked = !d.clicked;
if (d.clicked) {
output(d.properties.CONTINENT)
d3.select(this).attr('fill','#FF0000').attr('fill-opacity',1).classed('selected', true)
} else {
d3.select(this).attr('fill', landColor).attr('fill-opacity',fillOpacity).classed('selected', true)
output('World')
}
})
.filter(d=>!ignore.includes(d.properties.CONTINENT))
.attr('cursor','pointer')
const returnValue = Object.assign(svg.node(), {
value: "World"
})
return returnValue;
}
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.