Published
Edited
Mar 16, 2019
2 forks
Importers
2 stars
viewof map = embed({
$schema: "https://vega.github.io/schema/vega-lite/v3.json",
width: 1000,
height: 800,
layer: [
{
data: {url: "https://unpkg.com/world-atlas@1.1.4/world/50m.json",
format: {type: "topojson", feature: "countries"}
},
projection: {type :"mercator" },
mark: {
type: "geoshape",
fill: color1,
stroke: "white"
}
},
{
data: {values: data},
projection: {type: "mercator"},
mark: "circle",
encoding: {
"longitude": {
"field": "to_long",
"type": "quantitative"
},
"latitude": {
"field": "to_lat",
"type": "quantitative"
},
"size": {"value": 8},
"color": {"value": color3}
}
},
{
data: {values: data},
projection: {type: "mercator"},
mark: "circle",
encoding: {
"longitude": {
"field": "from_long",
"type": "quantitative"
},
"latitude": {
"field": "from_lat",
"type": "quantitative"
},
"size": {"value": 8},
"color": {"value": color2}
}
},
{
data: {values: data},
projection: {type: "mercator"},
mark: "rule",
encoding: {
"longitude": {
"field": "from_long",
"type": "quantitative"
},
"latitude": {
"field": "from_lat",
"type": "quantitative"
},
"longitude2": {
"field": "to_long",
"type": "quantitative"
},
"latitude2": {
"field": "to_lat",
"type": "quantitative"
},
"color": {value: color4},
"opacity": {value: 0.05},
}
}
]
})
// patch the spec to add the signal for rotation
viewof map2 = embed(vlSpec, {patch: {signals: [{
"name": "rotation",
"value": 0
}]}})
// update the view when the rotation changes
map2.signal('rotation', rotation).run()
vlSpec = ({
$schema: "https://vega.github.io/schema/vega-lite/v3.json",
width: 800,
height: 800,
layer: [
{
data: {url: "https://unpkg.com/world-atlas@1.1.4/world/50m.json",
format: {type: "topojson", feature: "countries"}
},
projection: {
type: "orthographic",
rotate: [{"signal": "rotation"},0,0]
},
mark: {
type: "geoshape",
fill: color1,
stroke: "white"
}
},
{
data: {values: data},
projection: {
type: "orthographic",
rotate: [{"signal": "rotation"},0,0]
},
mark: "circle",
encoding: {
"longitude": {
"field": "to_long",
"type": "quantitative"
},
"latitude": {
"field": "to_lat",
"type": "quantitative"
},
"size": {"value": 8},
"color": {"value": color3}
}
},
{
data: {values: data},
projection: {
type: "orthographic",
rotate: [{"signal": "rotation"},0,0]
},
mark: "circle",
encoding: {
"longitude": {
"field": "from_long",
"type": "quantitative"
},
"latitude": {
"field": "from_lat",
"type": "quantitative"
},
"size": {"value": 8},
"color": {"value": color2}
}
},
{
data: {values: data},
projection: {
type: "orthographic",
rotate: [{"signal": "rotation"},0,0]
},
mark: "rule",
encoding: {
"longitude": {
"field": "from_long",
"type": "quantitative"
},
"latitude": {
"field": "from_lat",
"type": "quantitative"
},
"longitude2": {
"field": "to_long",
"type": "quantitative"
},
"latitude2": {
"field": "to_lat",
"type": "quantitative"
},
"color": {value: color4},
"opacity": {value: 0.05},
}
}
]
})
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.