Update hotspots for legend

This commit is contained in:
2023-10-28 15:27:48 -04:00
parent 2d411e8634
commit 7d146a772b
5 changed files with 527 additions and 419 deletions

View File

@@ -8,8 +8,8 @@ body {
height: 100vh;
}
#map {
height: 100vh;
html, body, #map {
height: 100%;
width: 100vw;
}
@@ -23,3 +23,17 @@ body {
.leaflet-tile-pane {
filter: brightness(50%);
}
.legend {
border: solid #999999 3px;
color: #eee;
background-color: rgba(44, 44, 44, .8);
padding: 1em;
}
#legendOccGrad {
background-image: linear-gradient(to right, transparent, red);
padding: 0 2em;
text-align: center;
text-shadow: black .2em .2em;
}

View File

@@ -1,13 +1,13 @@
let map = L.map("map", {
zoomControl: false,
attributionControl: false,
}).setView([43.084679, -77.674702], 17);
// L.tileLayer('https://tile.openstreetmap.org/{z}/{x}/{y}.png', {
// maxZoom: 19,
// attribution: '&copy; <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>'
// }).addTo(map);
}).setView([43.084679, -77.674702], 17);
// L.tileLayer('https://tile.openstreetmap.org/{z}/{x}/{y}.png', {
// maxZoom: 19,
// attribution: '&copy; <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>'
// }).addTo(map);
var CartoDB_DarkMatterNoLabels = L.tileLayer(
var CartoDB_DarkMatterNoLabels = L.tileLayer(
"https://{s}.basemaps.cartocdn.com/dark_nolabels/{z}/{x}/{y}{r}.png",
{
attribution:
@@ -15,25 +15,25 @@ let map = L.map("map", {
subdomains: "abcd",
maxZoom: 20,
}
).addTo(map);
).addTo(map);
// var CartoDB_PositronNoLabels = L.tileLayer('https://{s}.basemaps.cartocdn.com/light_nolabels/{z}/{x}/{y}{r}.png', {
// attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors &copy; <a href="https://carto.com/attributions">CARTO</a>',
// subdomains: 'abcd',
// maxZoom: 20
// }).addTo(map); // good hacky filter: invert(100%) hue-rotate(180deg) brightness(100%) contrast(100%);
// var CartoDB_PositronNoLabels = L.tileLayer('https://{s}.basemaps.cartocdn.com/light_nolabels/{z}/{x}/{y}{r}.png', {
// attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors &copy; <a href="https://carto.com/attributions">CARTO</a>',
// subdomains: 'abcd',
// maxZoom: 20
// }).addTo(map); // good hacky filter: invert(100%) hue-rotate(180deg) brightness(100%) contrast(100%);
// var CartoDB_Positron = L.tileLayer('https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png', {
// attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors &copy; <a href="https://carto.com/attributions">CARTO</a>',
// subdomains: 'abcd',
// maxZoom: 20
// }).addTo(map);
// var CartoDB_Positron = L.tileLayer('https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png', {
// attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors &copy; <a href="https://carto.com/attributions">CARTO</a>',
// subdomains: 'abcd',
// maxZoom: 20
// }).addTo(map);
function sleep(ms) {
function sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms));
}
}
function shuffle(array) {
function shuffle(array) {
let currentIndex = array.length,
randomIndex;
@@ -51,48 +51,49 @@ let map = L.map("map", {
}
return array;
}
}
function setMarker(attrs, ref) {
function setMarker(attrs, ref) {
// let red = parseInt("ff", 16);
// let green = parseInt("78", 16);
// let style = {"fillColor": `#${red.toString(16)}${green.toString(16)}00`};
let ratio = attrs.properties.count / attrs.properties.capacity;
ratio = ratio > 1 ? 1 : ratio;
let red = 255 * ratio;
let style = { fillColor: `rgba(${red}, 0, 0, ${ratio})` };
let adjustedratio = ratio > 1 ? 1 : ratio;
let red = 255 * adjustedratio;
let style = { fillColor: `rgba(255, 0, 0, ${adjustedratio})` };
ref.setStyle(style);
ref.bindPopup(
`${attrs.properties.name}<br />Current Occupation: ${attrs.properties.count}`
`${attrs.properties.name}<br />Current Occupation: ${attrs.properties.count}<br />${Math.round(ratio*100)}% capacity`
);
}
}
function onEachFeature(feature, layer) {
function onEachFeature(feature, layer) {
// does this feature have a property named popupContent?
if (!feature.properties || !feature.properties.name) {
return;
}
setMarker(feature, layer);
}
}
const polyStyle = {
const polyStyle = {
color: "#ff7800",
weight: 5,
opacity: 0.65,
};
};
const geojsonMarkerOptions = {
const geojsonMarkerOptions = {
pane: "nodePane",
radius: 8,
fillColor: "#ff7800",
color: "#ff7800",
weight: 3,
opacity: 1,
fillOpacity: 1,
};
};
const pointStyle = {};
const pointStyle = {};
function ritCustomize(input) {
function ritCustomize(input) {
badOnes = [166]; // Nathan's (166) is a duplicate of Ben and Jerry's
for (let i = input.length - 1; i >= 0; i--) {
if (badOnes.indexOf(input[i].mdo_id) >= 0) {
@@ -100,10 +101,10 @@ let map = L.map("map", {
}
}
return input;
}
}
// Unused: "Campus", "Gleason_Engineering_Student_Area"
const no_mdo_ids = {
// Unused: "Campus", "Gleason_Engineering_Student_Area"
const no_mdo_ids = {
Library_A_Level: { type: "Point", coordinates: [-77.676355, 43.083974] },
Library_1st_Floor: { type: "Point", coordinates: [-77.676355, 43.083874] },
Library_2nd_Floor: { type: "Point", coordinates: [-77.676355, 43.083774] },
@@ -115,9 +116,9 @@ let map = L.map("map", {
type: "Point",
coordinates: [-77.681365, 43.085376],
},
};
};
function ritCustomizeCoords(input) {
function ritCustomizeCoords(input) {
try {
if (input.properties.name == "Beanz") {
input.geometry.coordinates = [-77.66904, 43.083876];
@@ -136,11 +137,15 @@ let map = L.map("map", {
};
return geojsonObj;
} catch {}
}
}
let pts;
const densityMapUrl = "/hotspotsrit" // https://maps.rit.edu/proxySearch/densityMapDetail.php?mdo=1
async function init() {
let pts;
let nodePane = map.createPane("nodePane");
nodePane.style.zIndex = "600";
let nodeGroup;
const densityMapUrl = "/hotspotsrit"; // https://maps.rit.edu/proxySearch/densityMapDetail.php?mdo=1
async function init(legend = false) {
let counts = fetch(densityMapUrl + "/cached");
let locations = fetch(
@@ -156,7 +161,8 @@ let map = L.map("map", {
for (let i = 0; i < counts.length; i++) {
if (counts[i].mdo_id == x.properties.mdo_id) {
x.properties.count = counts[i].count;
x.properties.capacity = counts[i].max_occ == null ? 100 : counts[i].max_occ;
x.properties.capacity =
counts[i].max_occ == null ? 100 : counts[i].max_occ;
x = ritCustomizeCoords(x);
pts[x.properties.mdo_id] = x;
break;
@@ -175,7 +181,8 @@ let map = L.map("map", {
}
});
let ptsLayer = L.geoJSON(Object.values(pts), {
nodeGroup = L.geoJSON(Object.values(pts), {
pane: "nodePane",
pointToLayer: function (feature, latlng) {
return L.circleMarker(latlng, geojsonMarkerOptions);
},
@@ -188,24 +195,72 @@ let map = L.map("map", {
}
},
onEachFeature: onEachFeature,
}).addTo(map);
});
nodeGroup.addTo(map);
nodeGroup.bringToFront();
const features = ptsLayer.getLayers();
const features = nodeGroup.getLayers();
for (let i = 0; i < features.length; i++) {
const key = features[i].feature.properties.mdo_id;
pts[key].properties.reference = features[i];
}
legend ? makeLegend() : null;
}
function makeLegend() {
let legend = L.control({ position: "bottomright" });
legend.onAdd = function (mapref) {
let div = L.DomUtil.create("div", "info legend");
div.innerHTML = "<div id='legendOccGrad'>Occupancy / Max Occupancy Gradient</div>"
div.innerHTML +=
`<p>Markers represent locations where data is collected<br />
Vectors represent the migration of aggregate occupation</br>
vectors to/from nodeless points involve locations not tracked by RIT</p>`;
return div;
};
let statControl = L.control({ position: "topright" });
statControl.onAdd = function (mapref) {
let div = L.DomUtil.create("div", "info legend");
div.innerHTML = "<p>Occupancy is updated every 5 minutes<br /><br /><span id='shotCounter'></span><br />Next update in <span id='countdownClock'></span> seconds</p>"
return div;
//
};
statControl.addTo(map);
legend.addTo(map);
}
function updateLegend(shotcount=undefined){
document.getElementById('shotCounter').textContent = `Previous update created ${shotcount} migration${shotcount == 1 ? "" : "s"}`;
}
const space_coords = [43.09224, -77.674799];
const UC_coords = [43.080361, -77.683296];
const perkins_coords = [43.08616, -77.661796];
function setSpace(features) {
features.forEach((x) => {
const centroid = getCoordArray(x);
if (centroid[1] > -77.673157) {
x.properties.space = perkins_coords;
} else if (centroid[1] < -77.677503 && centroid[0] < 43.08395) {
x.properties.space = UC_coords;
} else {
x.properties.space = space_coords;
}
});
}
// let laid = L.geoJson(pts).addTo(map)
// laid.remove()
let bullets = L.layerGroup([]);
async function shootVector(
let bullets = L.layerGroup([]);
async function shootVector(
from,
to,
{ speed = 500, color = null, onlyAnimate = true, trail = true } = {}
) {
) {
options = {
onlyAnimate: onlyAnimate,
animate: {
@@ -223,9 +278,9 @@ let map = L.map("map", {
options.fadeSpeed = 60000 * 15;
arcGen(fromC, toC, (options = options));
}
}
}
function getCoordArray(ref) {
function getCoordArray(ref) {
if (ref.properties == undefined) return ref;
let coords;
try {
@@ -234,9 +289,9 @@ let map = L.map("map", {
coords = ref.properties.reference.getBounds().getCenter();
}
return [coords.lat, coords.lng];
}
}
function arcGen(latlng1, latlng2, options = {}) {
function arcGen(latlng1, latlng2, options = {}) {
var latlngs = [];
var offsetX = latlng2[1] - latlng1[1],
@@ -272,9 +327,9 @@ let map = L.map("map", {
).addTo(map);
return curvedPath;
}
}
function calcDistances(nodes) {
function calcDistances(nodes) {
nodes.forEach((x) => {
x.properties.distances = {};
const coords1 = getCoordArray(x);
@@ -286,11 +341,18 @@ let map = L.map("map", {
);
});
});
}
}
const space = [43.09224, -77.674799];
async function getUpdate() {
let countdownTo;
function updateCountdown() {
const now = new Date().getTime();
document.getElementById('countdownClock').textContent = Math.round((countdownTo - now) / 1000);
}
async function getUpdate() {
console.log("Updating Occupancy Matrix");
countdownTo = new Date().getTime() + 5 * 60 * 1000;
let counts = await fetch(densityMapUrl + "/current");
counts = await counts.json();
@@ -324,17 +386,18 @@ let map = L.map("map", {
timeBetween / 1000
} second intervals`
);
updateLegend(shots.length);
for (let i = 0; i < shots.length; i++) {
loadShot(shots[i], timeDelay[i], { trail: true });
}
}
}
async function loadShot(shot, delay, { trail = false } = {}) {
async function loadShot(shot, delay, { trail = false } = {}) {
await sleep(delay);
shootVector(shot[0], shot[1], { trail: trail });
}
}
function findOneShot(nodes, target) {
function findOneShot(nodes, target) {
let sortedByDistance = nodes.sort((a, b) => {
return (
target.properties.distances[a.properties.mdo_id] -
@@ -347,9 +410,9 @@ let map = L.map("map", {
return sortedByDistance[x];
}
}
}
}
function getShots(nodes) {
function getShots(nodes) {
let noChange = false;
let shots = [];
let sourcesAndSinks = nodes.filter((x) => {
@@ -405,26 +468,29 @@ let map = L.map("map", {
// if no more people on campus, get them from space
sourcesAndSinks.forEach((x) => {
while (x.properties.diff > 0) {
shots.push([x, space]);
shots.push([x, x.properties.space]);
x.properties.diff--;
}
while (x.properties.diff < 0) {
shots.push([space, x]);
shots.push([x.properties.space, x]);
x.properties.diff++;
}
});
return shots;
}
}
init().then(() => {
const useLegend = window.location.pathname.replaceAll("/", "") == "hotspots"
init(useLegend).then(() => {
// map.on("click", () => {
// shootVector(pts[2], pts[8]);
// });
// shootVector(pts[0], pts[1], {speed: 500});
calcDistances(Object.values(pts));
getUpdate()
let ptsarr = Object.values(pts);
calcDistances(ptsarr);
setSpace(ptsarr);
getUpdate();
setInterval(updateCountdown, 1000);
setInterval(getUpdate, 60000 * 5);
});
});

View File

@@ -1,5 +1,33 @@
{
"Lower 48 Alt. Energy Map": {
"RIT Hotspots": {
"status": "WIP",
"classes": "pinned geospacial programming",
"bgi": "hotspotsrit.png",
"content": "Live crowd migration map using RIT occupancy data",
"links": [
[
"github", "https://github.com/asimonson1125/hotspotsrit", "git repo"
],
[
"globe", "https://asimonson.com/hotspots", "demo"
]
]
},
"LogicFlow": {
"status": "incomplete",
"classes": "programming",
"bgi": "logicflow.jpg",
"content": "Translate paragraphs to logical flowcharts, powered by ChatGPT Winner of CSHacks' Best Use of AI by Paychex",
"links": [
[
"github", "https://github.com/asimonson1125/LogicFlow", "git repo"
],
[
"globe", "https://devpost.com/software/logicflow", "Hackathon listing"
]
]
},
"Alternative Energy Map": {
"status": "complete",
"classes": "pinned geospacial",
"bgi": "geovisF.png",
@@ -14,7 +42,7 @@
},
"OccupyRIT": {
"status": "WIP",
"classes": "pinned programming",
"classes": "programming",
"bgi": "occupyRIT.png",
"content": "Collects RIT Gym Occupancy data, determining busiest workout times",
"links": [

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