Published
Edited
Jul 8, 2021
Importers
Phil = FileAttachment("test4 (1)@1.json").json()
world = FileAttachment("gistfile1@3.json").json()
few = FileAttachment("a few countries.json").json()
PhilMap4 = {
let container = DOM.element('div', { style: `width:${width}px;height:${width/1.6}px` });
yield container;
let map = L.map(container).setView([35, 10], 2);
function getColor(d) {
return d > 1000000 ? '#800026' :
d > 500000 ? '#BD0026' :
d > 100000 ? '#E31A1C' :
d > 50000 ? '#FC4E2A' :
d > 10000 ? '#FD8D3C' :
d > 5000 ? '#FEB24C' :
d > 1000 ? '#FED976' :
'#FFEDA0';
}
//initialize svg to add to map
// let PhilAreasLayer = L.geoJson({clickable:true}).addTo(map) // we have to make the svg layer clickable
L.svg({clickable:true}).addTo(map) // we have to make the svg layer clickable
//Create selection using D3
const overlay = d3.select(map.getPanes().overlayPane)
const svg = overlay.select('svg').attr("pointer-events", "auto")
// create a group that is hidden during zooming
const g = svg.append('g').attr('class', 'leaflet-zoom-hide')
// Use Leaflets projection API for drawing svg path (creates a stream of projected points)
const projectPoint = function(x, y) {
const point = map.latLngToLayerPoint(new L.LatLng(y, x))
this.stream.point(point.x, point.y)
}
// Use d3's custom geo transform method to implement the above
const projection = d3.geoTransform({point: projectPoint})
// creates geopath from projected points (SVG)
const pathCreator = d3.geoPath().projection(projection)
const areaPaths = g.selectAll('path')
.data(world.features)
.join('path')
.attr('fill', function(d, i) {
return getColor(world.features[i].properties.num)
})
//'red'
//getColor(VanAreas.features.properties.ID_1)
.attr('stroke', 'black')
.attr("z-index", 3000)
.attr('stroke-width', 2.5)
//.on("mouseover", mouseover )
//map.fitBounds(PhilAreasLayer.getBounds());
// Function to place svg based on zoom
const onZoom = () => areaPaths.attr('d', pathCreator)
// initialize positioning
onZoom()
// reset whenever map is moved
map.on('zoomend', onZoom)
}
fewcountries = {
let container = DOM.element('div', { style: `width:${width}px;height:${width/1.6}px` });
yield container;
let map = L.map(container).setView([35, 10], 2);
let PhilAreasLayer2 = L.geoJson(few, { //instantiates a new geoJson layer using built in geoJson handling
weight: 2, //Attributes of polygons including the weight of boundaries and colors of map.
color: "#432",
onEachFeature: areaClick
}).bindPopup(function (Layer) { //binds a popup when clicking on each polygon to access underlying data
return '<a href="http://ridgez.ca/auditory.html" target="_blank"><h1> Test Title </h1><img src="https://upload.wikimedia.org/wikipedia/commons/4/4a/100x100_logo.png" width=100 height=100 /></a>';
})
.addTo(map); //Adds the layer to the map.
map.on('click', () =>
mutable nHood = null
);
map.fitBounds(PhilAreasLayer2.getBounds());
}
test = {
let container = DOM.element('div', { style: `width:${width}px;height:${width/1.6}px` });
yield container;
let map = L.map(container).setView([35, 10], 2);
//initialize svg to add to map
// let PhilAreasLayer = L.geoJson({clickable:true}).addTo(map) // we have to make the svg layer clickable
L.svg({clickable:true}).addTo(map) // we have to make the svg layer clickable
//Create selection using D3
const overlay = d3.select(map.getPanes().overlayPane)
const svg = overlay.select('svg').attr("pointer-events", "auto")
// create a group that is hidden during zooming
const g = svg.append('g').attr('class', 'leaflet-zoom-hide')
// Use Leaflets projection API for drawing svg path (creates a stream of projected points)
const projectPoint = function(x, y) {
const point = map.latLngToLayerPoint(new L.LatLng(y, x))
this.stream.point(point.x, point.y)
}
// Use d3's custom geo transform method to implement the above
const projection = d3.geoTransform({point: projectPoint})
// creates geopath from projected points (SVG)
const pathCreator = d3.geoPath().projection(projection)
const areaPaths = g.selectAll('path')
.data(world.features)
.join('path')
//'red'
//getColor(VanAreas.features.properties.ID_1)
.attr('stroke', 'black')
.attr('fill', 'white')
.attr("z-index", 3000)
.attr('stroke-width', 2.5)
//.on("mouseover", mouseover )
let PhilAreasLayer2 = L.geoJson(capital, { //instantiates a new geoJson layer using built in geoJson handling
weight: 2, //Attributes of polygons including the weight of boundaries and colors of map.
color: "#432",
}).bindPopup(function (Layer) { //binds a popup when clicking on each polygon to access underlying data
return '<a href="http://ridgez.ca/auditory.html" target="_blank"><h1> Test Title </h1><img src="https://upload.wikimedia.org/wikipedia/commons/4/4a/100x100_logo.png" width=100 height=100 /></a>';
})
//only works with https
.addTo(map); //Adds the layer to the map.
//map.fitBounds(PhilAreasLayer.getBounds());
// Function to place svg based on zoom
const onZoom = () => areaPaths.attr('d', pathCreator)
// initialize positioning
onZoom()
// reset whenever map is moved
map.on('zoomend', onZoom)
map.fitBounds(PhilAreasLayer2.getBounds());
}
capital = FileAttachment("capitals@1.json").json()
PhilMap2 = {
let container = DOM.element('div', { style: `width:${width}px;height:${width/1.6}px` });
yield container;
let map = L.map(container).setView([10.5, 120.9842], 7);
let osmLayer = L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
attribution: '© <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
}).addTo(map);
function getColor(d) {
return d > 1000000 ? '#800026' :
d > 500000 ? '#BD0026' :
d > 100000 ? '#E31A1C' :
d > 50000 ? '#FC4E2A' :
d > 10000 ? '#FD8D3C' :
d > 5000 ? '#FEB24C' :
d > 1000 ? '#FED976' :
'#FFEDA0';
}
//initialize svg to add to map
// let PhilAreasLayer = L.geoJson({clickable:true}).addTo(map) // we have to make the svg layer clickable
L.svg({clickable:true}).addTo(map) // we have to make the svg layer clickable
//Create selection using D3
const overlay = d3.select(map.getPanes().overlayPane)
const svg = overlay.select('svg').attr("pointer-events", "auto")
// create a group that is hidden during zooming
const g = svg.append('g').attr('class', 'leaflet-zoom-hide')
// Use Leaflets projection API for drawing svg path (creates a stream of projected points)
const projectPoint = function(x, y) {
const point = map.latLngToLayerPoint(new L.LatLng(y, x))
this.stream.point(point.x, point.y)
}
// Use d3's custom geo transform method to implement the above
const projection = d3.geoTransform({point: projectPoint})
// creates geopath from projected points (SVG)
const pathCreator = d3.geoPath().projection(projection)
const areaPaths = g.selectAll('path')
.data(Phil.features)
.join('path')
.attr('fill', function(d, i) {
return getColor(Phil.features[i].properties.num)
})
//'red'
//getColor(VanAreas.features.properties.ID_1)
.attr('stroke', 'black')
.attr("z-index", 3000)
.attr('stroke-width', 2.5)
//.on("mouseover", mouseover )
map.on('click', () =>
mutable nHood = null
);
//map.fitBounds(PhilAreasLayer.getBounds());
// Function to place svg based on zoom
const onZoom = () => areaPaths.attr('d', pathCreator)
// initialize positioning
onZoom()
// reset whenever map is moved
map.on('zoomend', onZoom)
}
viewof dataStuff = V({
width: 400,
height:300,
mark: "bar",
data: {values: D},
transform: [
{filter: {field: "province", oneOf: mapSelection}}
],
encoding: {
x: {field: "key", type: "nominal"},
y: {field: "displacedP", type: "quantitative"},
}
})
html`<div style="
background: #fff;
display: grid;
grid-template-areas:
'a'
'b';
grid-gap: 10px;
">
<div name="a" style="grid-area:a;border:solid 1px #ccc;text-align: center">${viewof dataStuff}</div>
<div name="b" style="grid-area:b;border:solid 1px #ccc;text-align: center">${viewof PhilMap}</div>
</div>`
viewof PhilMap = {
let width = 900
let height = 400
let container = DOM.element('div', { style: `width:${width}px;height:${width/1.6}px` });
yield container;
let map = L.map(container);
let osmLayer = L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
attribution: '© <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
}).addTo(map);
//initialize svg to add to map
// let PhilAreasLayer = L.geoJson({clickable:true}).addTo(map) // we have to make the svg layer clickable
let PhilAreasLayer2 = L.geoJson(Phil, { //instantiates a new geoJson layer using built in geoJson handling
weight: 2, //Attributes of polygons including the weight of boundaries and colors of map.
color: "#432",
onEachFeature: areaClick
}).bindPopup(function (Layer) { //binds a popup when clicking on each polygon to access underlying data
return `Province: ${Layer.feature.properties.NAME_1} \n Number of People Dislocated: ${Layer.feature.properties.num}`;
})
.addTo(map); //Adds the layer to the map.
map.on('click', () =>
mutable nHood = null
);
map.fitBounds(PhilAreasLayer2.getBounds());
}
//We are writing the event listener function for each feature in our geojson layer
function areaClick(feature, layer) {
layer.on({
click:whenClicked //callback function
});
}
//We update our data in the function using mutable. This overrides observables defaults so we can push data from within //function scope globally
whenClicked = (event) => {
mutable nHood = event.target.feature.properties.NAME_1
}
mutable nHood = "ILOILO"
mapSelection = {
if(nHood == null ){
return Array.from(new Set(newMap.map(d => d.NAME_1))) //Set is a new datastructure in ES6 -> only unique values
} else {
return [nHood.toUpperCase()]
}
}
md` ## libraries and data`
L = require('leaflet@1.2.0')
d3 = require('d3@5')
V = require("@observablehq/vega-lite@0.2")
html`<link href='${resolve('leaflet@1.2.0/dist/leaflet.css')}' rel='stylesheet' />`
newMap = {
let i=Phil.features.length;
let j=0;
let k=0;
let temp ={};
let newCrime=[];
for(k=0;k<i; k++)
{
newCrime[k]= Phil.features[k].properties;
}
return (newCrime);
}
D =d3.csv('https://raw.githubusercontent.com/zavenanarsh/data/master/typhoon-yolanda-dswd-dromic-consolidated-27jan2014_pcoded.csv',d => {
return {
//+d to convert string in to int
key:d.Municipality,
province: d.Province,
displacedP: d.displaced_people,
displacedF: d.displaced_families,
houseD: d.TOTAL_houses_damaged,
}
})
import {values} from "@zavenanarsh/haiyan-data-wrangling"
md` ## Helper functions`
function isEmpty(obj) {
for (var prop in obj) {
return false;
}
return true;
}
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.