diff --git a/libs/shared/lib/querybuilder/query-utils/query-utils.ts b/libs/shared/lib/querybuilder/query-utils/query-utils.ts
index df25d1293680e0198f9f1420f9784385b1632ad0..8e4a47ec8fcd8eabda1145dca71546d26710ccfd 100644
--- a/libs/shared/lib/querybuilder/query-utils/query-utils.ts
+++ b/libs/shared/lib/querybuilder/query-utils/query-utils.ts
@@ -39,7 +39,7 @@ export function Query2BackendQuery(databaseName: string, graph: QueryMultiGraph)
relations: relations,
groupBys: [], // TODO
machineLearning: [], // TODO
- limit: 500, // TODO
+ limit: 5000, // TODO
};
console.log(result, graph);
diff --git a/libs/shared/lib/vis/geovis/NodeLinkMap.stories.tsx b/libs/shared/lib/vis/geovis/NodeLinkMap.stories.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..b9ff97b74b8633fd484ce573a11f0fcaf1107d4c
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/NodeLinkMap.stories.tsx
@@ -0,0 +1,73 @@
+import React from 'react';
+import NodeLinkMap from './NodeLinkMap';
+import { Provider } from 'react-redux';
+import { configureStore } from '@reduxjs/toolkit';
+import { GraphPolarisThemeProvider } from '../../data-access/theme';
+import {
+ colorPaletteConfigSlice,
+ graphQueryResultSlice,
+ assignNewGraphQueryResult,
+} from '../../data-access/store';
+import { flights } from './mock-data';
+
+const Mockstore = configureStore({
+ reducer: {
+ colorPaletteConfig: colorPaletteConfigSlice.reducer,
+ graphQueryResult: graphQueryResultSlice.reducer,
+ },
+});
+
+export default {
+ title: 'Components/Visualizations/GeospatialKG',
+ component: NodeLinkMap,
+ decorators: [
+ (story) => (
+ <Provider store={Mockstore}>
+ <GraphPolarisThemeProvider>
+ <div
+ style={{
+ width: '100%',
+ height: '100vh',
+ }}
+ >
+ {story()}
+ </div>
+ </GraphPolarisThemeProvider>
+ </Provider>
+ ),
+ ],
+};
+
+const Template = (args) => <NodeLinkMap {...args} />;
+
+export const Flights = Template.bind({});
+Flights.args = {
+ isAggregated: true,
+ isFanned: true,
+};
+Flights.play = async () => {
+ const dispatch = Mockstore.dispatch;
+ dispatch(assignNewGraphQueryResult(flights));
+};
+
+export const FlightsAggregated = Template.bind({});
+FlightsAggregated.args = {
+ nodelink: 'faceting',
+ isAggregated: true,
+ isFanned: true,
+};
+FlightsAggregated.play = async () => {
+ const dispatch = Mockstore.dispatch;
+ dispatch(assignNewGraphQueryResult(flights));
+};
+
+export const FlightsClustered = Template.bind({});
+FlightsClustered.args = {
+ nodelink: 'cluster',
+ isAggregated: false,
+ isFanned: true,
+};
+FlightsClustered.play = async () => {
+ const dispatch = Mockstore.dispatch;
+ dispatch(assignNewGraphQueryResult(flights));
+};
diff --git a/libs/shared/lib/vis/geovis/NodeLinkMap.tsx b/libs/shared/lib/vis/geovis/NodeLinkMap.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..d49df3778f330c530c3707cee106dbbaa3f97c02
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/NodeLinkMap.tsx
@@ -0,0 +1,120 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import React, { useState, useEffect, useMemo } from 'react';
+import { NodeLinkViewModel } from './NodeLinkViewModel';
+import { useGraphQueryResult } from '../../data-access/store';
+import { MapView } from '@deck.gl/core';
+import DeckGL from '@deck.gl/react';
+import { getTooltip } from './Tooltip';
+import { Node } from './types';
+import * as d3 from 'd3';
+import { generateBaseLayer } from './layers/BaseLayer';
+import { FacetingLayer } from './layers/FacetingLayer';
+import { ClusterLayer } from './layers/ClusterLayer';
+import { NodeLinkLayer } from './layers/NodeLinkLayer';
+
+type Props = {
+ mapType: number;
+ nodelink: string;
+ isAggregated: boolean;
+ isFanned: boolean;
+ brushing: boolean;
+};
+
+export const NodeLinkMap = React.memo(
+ ({
+ mapType = 0,
+ nodelink,
+ isAggregated,
+ isFanned,
+ brushing = false,
+ }: Props) => {
+ const [graph, setGraph] = useState<NodeLinkViewModel | null>(null);
+ const [isLoading, setIsLoading] = useState<boolean>(true);
+ const [viewport, setViewport] = useState<{ [key: string]: number }>({
+ longitude: -102.4,
+ latitude: 37.8,
+ zoom: 3,
+ });
+
+ const graphQueryResult = useGraphQueryResult();
+
+ useEffect(() => {
+ if (graphQueryResult) {
+ const graphModel = new NodeLinkViewModel({
+ nodes: graphQueryResult.nodes,
+ edges: graphQueryResult.edges,
+ });
+ setGraph(graphModel);
+ setIsLoading(false);
+ }
+ }, [graphQueryResult]);
+
+ const onViewStateChange = (viewState) => {
+ setViewport(viewState);
+ };
+
+ const edges = useMemo(() => graph?.getEdges(), [graph?.data]);
+ const nodes = useMemo(() => graph?.getNodes(), [graph?.data]);
+
+ const colorScale: d3.ScaleLinear<string, string> = d3
+ .scaleLinear<string>()
+ .domain([0, 6000])
+ .range(['blue', 'red']);
+
+ const layers = [generateBaseLayer(mapType)];
+
+ if (nodelink === 'cluster') {
+ layers.push(
+ new ClusterLayer({
+ graph: graph,
+ edges: edges,
+ nodes: nodes,
+ colorScale: colorScale,
+ brushing: brushing,
+ })
+ );
+ } else if (nodelink === 'faceting') {
+ layers.push(
+ new FacetingLayer({
+ graph: graph,
+ edges: edges,
+ nodes: nodes,
+ colorScale: colorScale,
+ isAggregated: isAggregated,
+ isFanned: isFanned,
+ brushing: brushing,
+ })
+ );
+ } else {
+ layers.push(
+ new NodeLinkLayer({
+ edges: edges,
+ nodes: nodes,
+ colorScale: colorScale,
+ brushing: brushing,
+ })
+ );
+ }
+
+ return (
+ <div>
+ {!isLoading && (
+ <DeckGL
+ layers={layers}
+ views={new MapView({ repeat: true, controller: true })}
+ initialViewState={viewport}
+ getTooltip={getTooltip}
+ onViewStateChange={({ viewState }) => onViewStateChange(viewState)}
+ />
+ )}
+ </div>
+ );
+ }
+);
+
+export default NodeLinkMap;
diff --git a/libs/shared/lib/vis/geovis/NodeLinkViewModel.tsx b/libs/shared/lib/vis/geovis/NodeLinkViewModel.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..054c1ce0531049b380091f3843d618163acac5a1
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/NodeLinkViewModel.tsx
@@ -0,0 +1,57 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { ViewModel, Command, Edge, Graph, Coordinates } from './types';
+
+export class NodeLinkViewModel implements ViewModel {
+ data: Graph;
+ private original_data: Graph;
+
+ constructor(data) {
+ this.data = data;
+ this.addCoordinatesToEdges();
+ this.original_data = this.data;
+ }
+
+ executeCommand(command: Command) {
+ this.data = command.execute(this.original_data);
+ }
+
+ addCoordinatesToEdges() {
+ // Add coordinates to edges based on nodes
+ const edges = {};
+
+ this.data.edges.forEach((edge: Edge) => {
+ const key = `${edge.from}_${edge.to}`;
+ if (!edges[key]) {
+ edges[key] = {
+ ...edge,
+ from_coordinates: this.data.nodes.find(
+ (node) => node.id === edge.from
+ )?.attributes.coordinates,
+ to_coordinates: this.data.nodes.find((node) => node.id === edge.to)
+ ?.attributes.coordinates,
+ count: 1,
+ };
+ } else {
+ edges[key].count++;
+ }
+ });
+
+ this.data = {
+ nodes: this.data.nodes,
+ edges: Object.values(edges),
+ };
+ }
+
+ getEdges() {
+ return this.data.edges;
+ }
+
+ getNodes() {
+ return this.data.nodes;
+ }
+}
diff --git a/libs/shared/lib/vis/geovis/Tooltip.tsx b/libs/shared/lib/vis/geovis/Tooltip.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..8301dfed916b812f19f99e6f298bb93d93876133
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/Tooltip.tsx
@@ -0,0 +1,75 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+export const getTooltip = ({ object }) => {
+ if (object && object.hasOwnProperty('type')) {
+ const { id, geometry, properties } = object;
+ return {
+ html: `
+ <div>
+ <h3>Cluster id: ${id}</h3>
+ <p>Point count: ${properties.point_count}</p>
+ <p>Nodes: ${properties.ids.slice(0, 5)}...</p>
+ </div>
+ `,
+ };
+ } else if (object && object.hasOwnProperty('geometry')) {
+ const { geometry, properties } = object;
+ return {
+ html: `
+ <div>
+ <h3>Airport: ${properties.id}</h3>
+ <p>City: ${properties.attributes.city}</p>
+ </div>
+ `,
+ };
+ } else if (
+ object &&
+ object.hasOwnProperty('attributes') &&
+ object.attributes.hasOwnProperty('locations')
+ ) {
+ const { id, attributes } = object;
+ return {
+ html: `
+ <div>
+ <h3>${id}</h3>
+ <p>Location: ${attributes.coordinates}</p>
+ <p>Nodes: ${attributes.locations}</p>
+
+ </div>
+ `,
+ };
+ } else if (
+ object &&
+ object.hasOwnProperty('id') &&
+ object.attributes.hasOwnProperty('prediction')
+ ) {
+ const { from, to, count, attributes } = object;
+ return {
+ html: `
+ <div>
+ <h3>${from}-${to}</h3>
+ <p>Flight count: ${count}</p>
+ <p>Predicted passengers: ${attributes.prediction}</p>
+
+ </div>
+ `,
+ };
+ } else if (object && object.attributes.hasOwnProperty('airport')) {
+ const { id, attributes } = object;
+ return {
+ html: `
+ <div>
+ <h3>Airport: ${id}</h3>
+ <p>Location: ${attributes.coordinates}</p>
+ <p>City: ${attributes.city}</p>
+ </div>
+ `,
+ };
+ } else {
+ return;
+ }
+};
diff --git a/libs/shared/lib/vis/geovis/aggregateCommand.tsx b/libs/shared/lib/vis/geovis/aggregateCommand.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..f7497bac60ea8788e94835917dea604b58ca56bf
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/aggregateCommand.tsx
@@ -0,0 +1,110 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { Node, Command, Edge, Graph, Coordinates } from './types';
+import { calcAverageCoordinates } from './utils';
+import * as d3 from 'd3';
+
+export class AggregateCommand implements Command {
+ /**
+ * Groups nodes by a provided attribute
+ * Computes average coordinates for new grouped node
+ * Updates edge coordinates accordingly
+ */
+ private dimension: string;
+
+ constructor(dimension: string) {
+ this.dimension = dimension;
+ }
+
+ execute(data: Graph) {
+ const graph: Graph = { ...data };
+ graph.nodes = aggregateNodes(graph, this.dimension);
+ graph.edges = aggregateEdges(graph);
+ return graph;
+ }
+}
+
+const aggregateNodes = (graph: Graph, dimension: string): Node[] => {
+ const nodesByAttribute: Map<string, Node[]> = d3.group(
+ graph.nodes,
+ (node: Node) => eval(`node.${dimension}`)
+ );
+
+ const bundleByAttribute: Node[] = [];
+
+ nodesByAttribute.forEach((group) => {
+ const lat: number[] = [];
+ const long: number[] = [];
+ const locations: string[] = [];
+
+ group.forEach((location: Node) => {
+ const coordinates: Coordinates = location.attributes.coordinates;
+ lat.push(coordinates[0]);
+ long.push(coordinates[1]);
+ locations.push(location.id);
+ });
+
+ const average: [number, number] = calcAverageCoordinates(lat, long);
+ const name: string = eval(`group[0].${dimension}`);
+
+ bundleByAttribute.push({
+ id: name,
+ attributes: {
+ coordinates: average,
+ locations: locations,
+ },
+ });
+ });
+
+ return bundleByAttribute;
+};
+
+const aggregateEdges = (data: Graph): Edge[] => {
+ const locations: { [key: string]: string[] } = data.nodes.reduce(
+ (locations, node) => {
+ locations[node.id] = node.attributes.locations;
+ return locations;
+ },
+ {}
+ );
+
+ const bundles: Edge[] = [];
+
+ data.edges.forEach((edge: Edge) => {
+ const from_location: string | undefined = Object.keys(locations).find(
+ (state) => locations[state].includes(edge.from)
+ );
+
+ const to_location: string | undefined = Object.keys(locations).find(
+ (state) => locations[state].includes(edge.to)
+ );
+
+ if (from_location && to_location) {
+ if (from_location === to_location) return; // edge is within group
+
+ const from_coordinates: Coordinates | undefined = data.nodes.find(
+ (node: Node) => node.id === from_location
+ )?.attributes.coordinates;
+
+ const to_coordinates: Coordinates | undefined = data.nodes.find(
+ (node: Node) => node.id === to_location
+ )?.attributes.coordinates;
+
+ const newEdge: Edge = {
+ ...edge,
+ from: from_location,
+ to: to_location,
+ from_coordinates: from_coordinates,
+ to_coordinates: to_coordinates,
+ };
+
+ bundles.push(newEdge);
+ }
+ });
+
+ return bundles;
+};
diff --git a/libs/shared/lib/vis/geovis/config.tsx b/libs/shared/lib/vis/geovis/config.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..f8e517a470a295d91dc90bbbbd9781dd159c6d06
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/config.tsx
@@ -0,0 +1,38 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+interface MapTypes {
+ [key: string]: string[];
+}
+
+export const mapTypes: MapTypes = {
+ // Urls for the base map
+ general: [
+ 'https://a.tile.openstreetmap.org/{z}/{x}/{y}.png',
+ 'https://b.tile.openstreetmap.org/{z}/{x}/{y}.png',
+ 'https://c.tile.openstreetmap.org/{z}/{x}/{y}.png',
+ ],
+ cycle: [
+ 'https://a.tile-cyclosm.openstreetmap.fr/cyclosm/{z}/{x}/{y}.png',
+ 'https://b.tile-cyclosm.openstreetmap.fr/cyclosm/{z}/{x}/{y}.png',
+ 'https://c.tile-cyclosm.openstreetmap.fr/cyclosm/{z}/{x}/{y}.png',
+ ],
+ stamenToner: [
+ 'https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png',
+ 'https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png',
+ 'https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png',
+ ],
+ stamenTerrain: [
+ 'https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png',
+ 'https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png',
+ 'https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png',
+ ],
+ stamenWaterColor: [
+ 'https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png',
+ 'https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png',
+ 'https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png',
+ ],
+};
diff --git a/libs/shared/lib/vis/geovis/layers/BaseLayer.tsx b/libs/shared/lib/vis/geovis/layers/BaseLayer.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..c00f461ebb3dafce859014a61cbbd6f903dbebb5
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/layers/BaseLayer.tsx
@@ -0,0 +1,37 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { TileLayer, BitmapLayer } from 'deck.gl';
+import { mapTypes } from '../config';
+
+export const generateBaseLayer = (mapType: number) => {
+ /**
+ * Generates base layer on which the node-link will be visualized
+ * Uses deck gl layers in combination with the openstreetmap api
+ * Inspiration from: https://github.com/visgl/deck.gl/tree/8.9-release/examples/website/map-tile
+ */
+
+ const urls: string[] = mapTypes[Object.keys(mapTypes)[mapType]];
+
+ return new TileLayer({
+ data: urls,
+ minZoom: 0,
+ maxZoom: 19,
+ tileSize: 256,
+
+ renderSubLayers: (props) => {
+ const {
+ bbox: { west, south, east, north },
+ } = props.tile;
+
+ return new BitmapLayer(props, {
+ data: null,
+ image: props.data,
+ bounds: [west, south, east, north],
+ });
+ },
+ });
+};
diff --git a/libs/shared/lib/vis/geovis/layers/ClusterLayer.tsx b/libs/shared/lib/vis/geovis/layers/ClusterLayer.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..362d63f14568cb00e6d16a75ee0f7fd422ccb7f3
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/layers/ClusterLayer.tsx
@@ -0,0 +1,148 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { CompositeLayer } from 'deck.gl/typed';
+import Supercluster from 'supercluster';
+import { ScatterplotLayer, LineLayer } from '@deck.gl/layers/typed';
+import { LayerProps } from '../types';
+import { calcNodeDistance, getColor } from '../utils';
+import { BrushingExtension } from '@deck.gl/extensions/typed';
+import { EdgeCrossings } from '../readability';
+
+export class ClusterLayer extends CompositeLayer<LayerProps> {
+ /**
+ * Layer that clusters the given graph
+ * Cluster layer uses supercluster library to cluster nodes
+ * Edges get updated accordingly
+ */
+ static componentName = 'Cluster Layer';
+
+ shouldUpdateState({ changeFlags }) {
+ return changeFlags.somethingChanged;
+ }
+
+ updateState({ props, oldProps, changeFlags }) {
+ const rebuildIndex = changeFlags.dataChanged;
+ const zoom = Math.floor(this.context.viewport.zoom);
+
+ if (rebuildIndex) {
+ const index = new Supercluster({
+ radius: 40,
+ maxZoom: 16,
+ map: (props) => ({ ids: [props.id] }),
+ reduce: (accumulated, props) => {
+ accumulated.ids.push(...props.ids);
+ return accumulated;
+ },
+ });
+ index.load(
+ props.graph.data.nodes.map((node) => ({
+ geometry: { coordinates: node.attributes.coordinates },
+ properties: node,
+ }))
+ );
+ this.setState({ index });
+ }
+
+ if (rebuildIndex || zoom !== this.state.zoom) {
+ const nodes = this.state.index.getClusters([-180, -85, 180, 85], zoom);
+
+ // Create node index for faster coordinate search
+ const node_index = {};
+ for (const node of nodes) {
+ const coordinates = node.geometry.coordinates;
+ if (node.properties.hasOwnProperty('attributes')) {
+ node_index[node.properties.id] = {
+ id: node.properties.id,
+ coordinates: coordinates,
+ };
+ } else {
+ const ids = node.properties.ids;
+ for (const id of ids) {
+ if (!node_index[id]) {
+ node_index[id] = {
+ id: node.id,
+ coordinates: coordinates,
+ };
+ }
+ }
+ }
+ }
+
+ // Add updated coordinates to edges
+ const edges = {};
+ props.graph.data.edges.forEach((edge) => {
+ const source = node_index[edge.from];
+ const target = node_index[edge.to];
+
+ if (source && target) {
+ if (
+ source.coordinates[0] === target.coordinates[0] &&
+ source.coordinates[1] === target.coordinates[1]
+ ) {
+ return;
+ } else {
+ const key = `${source.id}_${target.id}`;
+ if (!edges[key]) {
+ edges[key] = {
+ ...edge,
+ from_coordinates: source.coordinates,
+ to_coordinates: target.coordinates,
+ count: 1,
+ };
+ } else edges[key].count++;
+ }
+ }
+ }, []);
+
+ // console.log(
+ // `Number of edge crossings at zoom-level ${zoom} is ${EdgeCrossings(
+ // Object.values(edges)
+ // )}`
+ // );
+
+ this.setState({
+ nodes,
+ edges: Object.values(edges),
+ zoom,
+ });
+ }
+ }
+
+ renderLayers() {
+ return [
+ new LineLayer({
+ id: 'edges',
+ data: this.state.edges,
+ pickable: true,
+ extensions: [new BrushingExtension()],
+ brushingEnabled: this.props.brushing,
+ brushingRadius: 500000,
+ brushingTarget: 'source_target',
+ getWidth: (d) => Math.sqrt(d.count) * 0.5,
+ getSourcePosition: (d) => d.from_coordinates,
+ getTargetPosition: (d) => d.to_coordinates,
+ getColor: (d) =>
+ getColor(d.attributes.prediction, this.props.colorScale),
+ }),
+ new ScatterplotLayer({
+ id: 'nodes',
+ data: this.state.nodes,
+ opacity: 1,
+ pickable: true,
+ interactive: true,
+ filled: true,
+ radiusScale: 3,
+ radiusMinPixels: 5,
+ radiusMaxPixels: 20,
+ getRadius: (d) =>
+ d.hasOwnProperty('type') ? d.properties.ids.length * 1000 : 10,
+ getFillColor: (d) => (d.properties.cluster ? [250, 0, 0] : [0, 0, 255]),
+ getPosition: (d) => d.geometry.coordinates,
+ }),
+ ];
+ }
+}
diff --git a/libs/shared/lib/vis/geovis/layers/FacetingLayer.tsx b/libs/shared/lib/vis/geovis/layers/FacetingLayer.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..a9ca684639cc882ecc04dbe55a97c63d57733a5b
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/layers/FacetingLayer.tsx
@@ -0,0 +1,82 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { CompositeLayer } from 'deck.gl/typed';
+import { ScatterplotLayer, LineLayer } from '@deck.gl/layers/typed';
+import { LayerProps } from '../types';
+import { getColor } from '../utils';
+import { AggregateCommand } from '../aggregateCommand';
+import { BrushingExtension } from '@deck.gl/extensions/typed';
+
+export class FacetingLayer extends CompositeLayer<LayerProps> {
+ /**
+ * Faceting layer implements attribute driven faceting
+ * Main drawback is the predefined attributes (which not every data set has)
+ * Also, the data has to be duplicated in order to be able to go back to initial view
+ */
+ static componentName = 'FacetingLayer Layer';
+
+ shouldUpdateState({ changeFlags }) {
+ return changeFlags.somethingChanged;
+ }
+
+ updateState({ props, oldProps, changeFlags }) {
+ const rebuildIndex = changeFlags.dataChanged;
+ const zoom = Math.floor(this.context.viewport.zoom);
+
+ if (rebuildIndex || zoom !== this.state.zoom) {
+ // Aggregate based on predefined levels
+ if (zoom > 5)
+ props.graph.executeCommand(new AggregateCommand('attributes.city'));
+ if (zoom <= 5 && zoom > 3)
+ props.graph.executeCommand(new AggregateCommand('attributes.region'));
+ if (zoom < 3 && zoom > 2)
+ props.graph.executeCommand(new AggregateCommand('attributes.country'));
+ if (zoom < 2)
+ props.graph.executeCommand(
+ new AggregateCommand('attributes.continent')
+ );
+
+ this.setState({
+ nodes: props.graph.data.nodes,
+ edges: props.graph.data.edges,
+ zoom: zoom,
+ });
+ }
+ }
+
+ renderLayers() {
+ return [
+ new LineLayer({
+ id: 'edges',
+ data: this.state.edges,
+ pickable: true,
+ extensions: [new BrushingExtension()],
+ brushingEnabled: this.props.brushing,
+ brushingRadius: 500000,
+ brushingTarget: 'source_target',
+ getWidth: (d) => d.count,
+ getSourcePosition: (d) => d.from_coordinates,
+ getTargetPosition: (d) => d.to_coordinates,
+ getColor: (d) =>
+ getColor(d.attributes.prediction, this.props.colorScale),
+ }),
+ new ScatterplotLayer({
+ id: 'nodes',
+ data: this.state.nodes,
+ pickable: true,
+ opacity: 0.6,
+ interactive: true,
+ filled: true,
+ radiusScale: 3,
+ radiusMinPixels: 3,
+ radiusMaxPixels: 20,
+ getPosition: (d) => d.attributes.coordinates,
+ getFillColor: [250, 0, 0],
+ }),
+ ];
+ }
+}
diff --git a/libs/shared/lib/vis/geovis/layers/NodeLinkLayer.tsx b/libs/shared/lib/vis/geovis/layers/NodeLinkLayer.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..ef57df92fdebecd139516c9efa5a7647ff10dca0
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/layers/NodeLinkLayer.tsx
@@ -0,0 +1,55 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { CompositeLayer } from 'deck.gl/typed';
+import { ScatterplotLayer, LineLayer } from '@deck.gl/layers/typed';
+import { LayerProps } from '../types';
+import { getColor } from '../utils';
+import { BrushingExtension } from '@deck.gl/extensions/typed';
+
+export class NodeLinkLayer extends CompositeLayer<LayerProps> {
+ /**
+ * Basic node-link layer that just visualizes the data
+ */
+ static componentName = 'Knowledge Graph Layer';
+
+ shouldUpdateState({ changeFlags }) {
+ return changeFlags.somethingChanged;
+ }
+
+ renderLayers() {
+ const { edges, nodes, colorScale, brushing } = this.props;
+
+ return [
+ new LineLayer({
+ id: 'edges',
+ data: edges,
+ pickable: true,
+ extensions: [new BrushingExtension()],
+ brushingEnabled: brushing,
+ brushingRadius: 500000,
+ brushingTarget: 'source_target',
+ getWidth: (d) => d.count,
+ getSourcePosition: (d) => d.from_coordinates,
+ getTargetPosition: (d) => d.to_coordinates,
+ getColor: (d) => getColor(d.attributes.prediction, colorScale),
+ }),
+ new ScatterplotLayer({
+ id: 'nodes',
+ data: nodes,
+ pickable: true,
+ opacity: 0.6,
+ interactive: true,
+ filled: true,
+ radiusScale: 3,
+ radiusMinPixels: 3,
+ radiusMaxPixels: 20,
+ getPosition: (d) => d.attributes.coordinates,
+ getFillColor: [250, 0, 0],
+ }),
+ ];
+ }
+}
diff --git a/libs/shared/lib/vis/geovis/mock-data.tsx b/libs/shared/lib/vis/geovis/mock-data.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..2f062d37e7fe1c1028212c6aacfa8919df1c70c2
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/mock-data.tsx
@@ -0,0 +1,42469 @@
+/**
+ * Data set retrieved from:
+ * Liang Mao et al
+ * Modeling monthly flows of global air travel passengers
+ * In: Journal of Transport Geography 48 (2015), pp. 52–60
+ */
+
+export const flights = {
+ nodes: [
+ {
+ id: 'AMM',
+ attributes: {
+ airport: 'AMM',
+ city: 'Amman',
+ region: "['Jordan']-JO",
+ country: 'Jordan',
+ continent: 'Asia',
+ coordinates: [35.99, 31.72],
+ },
+ },
+ {
+ id: 'ALY',
+ attributes: {
+ airport: 'ALY',
+ city: 'Alexandria',
+ region: "['Egypt']-EG",
+ country: 'Egypt',
+ continent: 'Africa',
+ coordinates: [29.95, 31.19],
+ },
+ },
+ {
+ id: 'AMS',
+ attributes: {
+ airport: 'AMS',
+ city: 'Amsterdam',
+ region: "['Netherlands']-NL",
+ country: 'Netherlands',
+ continent: 'Europe',
+ coordinates: [4.76, 52.31],
+ },
+ },
+ {
+ id: 'ABV',
+ attributes: {
+ airport: 'ABV',
+ city: 'Abuja',
+ region: "['Nigeria']-NG",
+ country: 'Nigeria',
+ continent: 'Africa',
+ coordinates: [7.27, 9.0],
+ },
+ },
+ {
+ id: 'BHX',
+ attributes: {
+ airport: 'BHX',
+ city: 'Birmingham',
+ region: 'GB-EN',
+ country: 'United Kingdom',
+ continent: 'Europe',
+ coordinates: [-1.73, 52.45],
+ },
+ },
+ {
+ id: 'KTW',
+ attributes: {
+ airport: 'KTW',
+ city: 'Katowice',
+ region: "['Poland']-PL",
+ country: 'Poland',
+ continent: 'Europe',
+ coordinates: [19.07, 50.47],
+ },
+ },
+ {
+ id: 'BIL',
+ attributes: {
+ airport: 'BIL',
+ city: 'Billings',
+ region: 'US-MT',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-108.54, 45.8],
+ },
+ },
+ {
+ id: 'MSP',
+ attributes: {
+ airport: 'MSP',
+ city: 'Minneapolis',
+ region: 'US-MN',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-93.21, 44.88],
+ },
+ },
+ {
+ id: 'BLA',
+ attributes: {
+ airport: 'BLA',
+ city: 'Barcelona',
+ region: "['Venezuela']-VE",
+ country: 'Venezuela',
+ continent: 'South America',
+ coordinates: [-64.69, 10.11],
+ },
+ },
+ {
+ id: 'VLN',
+ attributes: {
+ airport: 'VLN',
+ city: 'Valencia',
+ region: "['Venezuela']-VE",
+ country: 'Venezuela',
+ continent: 'South America',
+ coordinates: [-67.92, 10.15],
+ },
+ },
+ {
+ id: 'DME',
+ attributes: {
+ airport: 'DME',
+ city: 'Moscow',
+ region: "['Russia']-RU",
+ country: 'Russia',
+ continent: 'Europe',
+ coordinates: [37.9, 55.41],
+ },
+ },
+ {
+ id: 'LED',
+ attributes: {
+ airport: 'LED',
+ city: 'Saint Petersburg',
+ region: "['Russia']-RU",
+ country: 'Russia',
+ continent: 'Europe',
+ coordinates: [30.31, 59.81],
+ },
+ },
+ {
+ id: 'DMM',
+ attributes: {
+ airport: 'DMM',
+ city: 'Dammam',
+ region: "['Saudi Arabia']-SA",
+ country: 'Saudi Arabia',
+ continent: 'Asia',
+ coordinates: [49.8, 26.47],
+ },
+ },
+ {
+ id: 'DNH',
+ attributes: {
+ airport: 'DNH',
+ city: 'Dunhuang',
+ region: "['China']-CN",
+ country: 'China',
+ continent: 'Asia',
+ coordinates: [94.68, 40.2],
+ },
+ },
+ {
+ id: 'XIY',
+ attributes: {
+ airport: 'XIY',
+ city: 'Xian',
+ region: "['China']-CN",
+ country: 'China',
+ continent: 'Asia',
+ coordinates: [108.76, 34.44],
+ },
+ },
+ {
+ id: 'DOH',
+ attributes: {
+ airport: 'DOH',
+ city: 'Doha',
+ region: "['Qatar']-QA",
+ country: 'Qatar',
+ continent: 'Asia',
+ coordinates: [51.56, 25.27],
+ },
+ },
+ {
+ id: 'KRT',
+ attributes: {
+ airport: 'KRT',
+ city: 'Khartoum',
+ region: "['Sudan']-SD",
+ country: 'Sudan',
+ continent: 'Africa',
+ coordinates: [32.55, 15.59],
+ },
+ },
+ {
+ id: 'DRW',
+ attributes: {
+ airport: 'DRW',
+ city: 'Darwin',
+ region: 'AU-NT',
+ country: 'Australia',
+ continent: 'Oceania',
+ coordinates: [130.88, -12.41],
+ },
+ },
+ {
+ id: 'DIL',
+ attributes: {
+ airport: 'DIL',
+ city: 'Dili',
+ region: "['Timor-Leste']-TL",
+ country: 'Timor-Leste',
+ continent: 'Asia',
+ coordinates: [125.53, -8.55],
+ },
+ },
+ {
+ id: 'DSN',
+ attributes: {
+ airport: 'DSN',
+ city: 'Dongsheng',
+ region: "['China']-CN",
+ country: 'China',
+ continent: 'Asia',
+ coordinates: [110.03, 39.85],
+ },
+ },
+ {
+ id: 'NAY',
+ attributes: {
+ airport: 'NAY',
+ city: 'Beijing',
+ region: "['China']-CN",
+ country: 'China',
+ continent: 'Asia',
+ coordinates: [116.59, 40.08],
+ },
+ },
+ {
+ id: 'DTM',
+ attributes: {
+ airport: 'DTM',
+ city: 'Dortmund',
+ region: "['Germany']-DE",
+ country: 'Germany',
+ continent: 'Europe',
+ coordinates: [7.61, 51.51],
+ },
+ },
+ {
+ id: 'BUD',
+ attributes: {
+ airport: 'BUD',
+ city: 'Budapest',
+ region: "['Hungary']-HU",
+ country: 'Hungary',
+ continent: 'Europe',
+ coordinates: [19.26, 47.43],
+ },
+ },
+ {
+ id: 'DTW',
+ attributes: {
+ airport: 'DTW',
+ city: 'Detroit',
+ region: 'US-MI',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-83.36, 42.21],
+ },
+ },
+ {
+ id: 'CUN',
+ attributes: {
+ airport: 'CUN',
+ city: 'Cancun',
+ region: "['Mexico']-MX",
+ country: 'Mexico',
+ continent: 'Central America',
+ coordinates: [-86.87, 21.04],
+ },
+ },
+ {
+ id: 'FRA',
+ attributes: {
+ airport: 'FRA',
+ city: 'Frankfurt',
+ region: "['Germany']-DE",
+ country: 'Germany',
+ continent: 'Europe',
+ coordinates: [8.57, 50.05],
+ },
+ },
+ {
+ id: 'FWA',
+ attributes: {
+ airport: 'FWA',
+ city: 'Fort Wayne',
+ region: 'US-IN',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-85.19, 40.99],
+ },
+ },
+ {
+ id: 'SNA',
+ attributes: {
+ airport: 'SNA',
+ city: 'Santa Ana',
+ region: 'US-CA',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-117.86, 33.68],
+ },
+ },
+ {
+ id: 'DUB',
+ attributes: {
+ airport: 'DUB',
+ city: 'Dublin',
+ region: "['Ireland']-IE",
+ country: 'Ireland',
+ continent: 'Europe',
+ coordinates: [-6.24, 53.43],
+ },
+ },
+ {
+ id: 'AGA',
+ attributes: {
+ airport: 'AGA',
+ city: 'Agadir',
+ region: "['Morocco']-MA",
+ country: 'Morocco',
+ continent: 'Africa',
+ coordinates: [-9.56, 30.38],
+ },
+ },
+ {
+ id: 'FAR',
+ attributes: {
+ airport: 'FAR',
+ city: 'Fargo',
+ region: 'US-ND',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-96.83, 46.92],
+ },
+ },
+ {
+ id: 'SLC',
+ attributes: {
+ airport: 'SLC',
+ city: 'Salt Lake City',
+ region: 'US-UT',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-111.98, 40.79],
+ },
+ },
+ {
+ id: 'FCO',
+ attributes: {
+ airport: 'FCO',
+ city: 'Rome',
+ region: "['Italy']-IT",
+ country: 'Italy',
+ continent: 'Europe',
+ coordinates: [12.25, 41.79],
+ },
+ },
+ {
+ id: 'ALP',
+ attributes: {
+ airport: 'ALP',
+ city: 'Aleppo',
+ region: "['Syria']-SY",
+ country: 'Syria',
+ continent: 'Asia',
+ coordinates: [37.23, 36.19],
+ },
+ },
+ {
+ id: 'MLE',
+ attributes: {
+ airport: 'MLE',
+ city: 'Male',
+ region: "['Maldives']-MV",
+ country: 'Maldives',
+ continent: 'Asia',
+ coordinates: [73.52, 4.2],
+ },
+ },
+ {
+ id: 'HAM',
+ attributes: {
+ airport: 'HAM',
+ city: 'Hamburg',
+ region: "['Germany']-DE",
+ country: 'Germany',
+ continent: 'Europe',
+ coordinates: [10.01, 53.63],
+ },
+ },
+ {
+ id: 'EWR',
+ attributes: {
+ airport: 'EWR',
+ city: 'Newark',
+ region: 'US-NJ',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-74.18, 40.69],
+ },
+ },
+ {
+ id: 'ACE',
+ attributes: {
+ airport: 'ACE',
+ city: 'Lanzarote',
+ region: 'ES-CI',
+ country: 'Spain',
+ continent: 'Europe',
+ coordinates: [-13.61, 28.95],
+ },
+ },
+ {
+ id: 'LGW',
+ attributes: {
+ airport: 'LGW',
+ city: 'London',
+ region: 'GB-EN',
+ country: 'United Kingdom',
+ continent: 'Europe',
+ coordinates: [-0.16, 51.16],
+ },
+ },
+ {
+ id: 'AGP',
+ attributes: {
+ airport: 'AGP',
+ city: 'Malaga',
+ region: 'ES-SP',
+ country: 'Spain',
+ continent: 'Europe',
+ coordinates: [-4.49, 36.68],
+ },
+ },
+ {
+ id: 'CMN',
+ attributes: {
+ airport: 'CMN',
+ city: 'Casablanca',
+ region: "['Morocco']-MA",
+ country: 'Morocco',
+ continent: 'Africa',
+ coordinates: [-7.59, 33.37],
+ },
+ },
+ {
+ id: 'SVO',
+ attributes: {
+ airport: 'SVO',
+ city: 'Moscow',
+ region: "['Russia']-RU",
+ country: 'Russia',
+ continent: 'Europe',
+ coordinates: [37.42, 55.97],
+ },
+ },
+ {
+ id: 'AHU',
+ attributes: {
+ airport: 'AHU',
+ city: 'Al Hoceima',
+ region: "['Morocco']-MA",
+ country: 'Morocco',
+ continent: 'Africa',
+ coordinates: [-3.84, 35.18],
+ },
+ },
+ {
+ id: 'TNG',
+ attributes: {
+ airport: 'TNG',
+ city: 'Tangier',
+ region: "['Morocco']-MA",
+ country: 'Morocco',
+ continent: 'Africa',
+ coordinates: [-5.91, 35.73],
+ },
+ },
+ {
+ id: 'ALB',
+ attributes: {
+ airport: 'ALB',
+ city: 'Albany',
+ region: 'US-NY',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-73.81, 42.75],
+ },
+ },
+ {
+ id: 'ART',
+ attributes: {
+ airport: 'ART',
+ city: 'Watertown',
+ region: 'US-NY',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-76.02, 43.99],
+ },
+ },
+ {
+ id: 'ALC',
+ attributes: {
+ airport: 'ALC',
+ city: 'Alicante',
+ region: 'ES-SP',
+ country: 'Spain',
+ continent: 'Europe',
+ coordinates: [-0.56, 38.29],
+ },
+ },
+ {
+ id: 'CRL',
+ attributes: {
+ airport: 'CRL',
+ city: 'Brussels',
+ region: "['Belgium']-BE",
+ country: 'Belgium',
+ continent: 'Europe',
+ coordinates: [4.45, 50.46],
+ },
+ },
+ {
+ id: 'EDI',
+ attributes: {
+ airport: 'EDI',
+ city: 'Edinburgh',
+ region: 'GB-SC',
+ country: 'United Kingdom',
+ continent: 'Europe',
+ coordinates: [-3.36, 55.95],
+ },
+ },
+ {
+ id: 'HGH',
+ attributes: {
+ airport: 'HGH',
+ city: 'Hangzhou',
+ region: "['China']-CN",
+ country: 'China',
+ continent: 'Asia',
+ coordinates: [120.43, 30.24],
+ },
+ },
+ {
+ id: 'TYN',
+ attributes: {
+ airport: 'TYN',
+ city: 'Taiyuan',
+ region: "['China']-CN",
+ country: 'China',
+ continent: 'Asia',
+ coordinates: [112.63, 37.75],
+ },
+ },
+ {
+ id: 'LIS',
+ attributes: {
+ airport: 'LIS',
+ city: 'Lisbon',
+ region: "['Portugal']-PT",
+ country: 'Portugal',
+ continent: 'Europe',
+ coordinates: [-9.13, 38.77],
+ },
+ },
+ {
+ id: 'CNF',
+ attributes: {
+ airport: 'CNF',
+ city: 'Belo Horizonte',
+ region: 'BR-MG',
+ country: 'Brazil',
+ continent: 'South America',
+ coordinates: [-43.96, -19.63],
+ },
+ },
+ {
+ id: 'LLW',
+ attributes: {
+ airport: 'LLW',
+ city: 'Lilongwe',
+ region: "['Malawi']-MW",
+ country: 'Malawi',
+ continent: 'Africa',
+ coordinates: [33.78, -13.78],
+ },
+ },
+ {
+ id: 'BLZ',
+ attributes: {
+ airport: 'BLZ',
+ city: 'Blantyre',
+ region: "['Malawi']-MW",
+ country: 'Malawi',
+ continent: 'Africa',
+ coordinates: [34.97, -15.67],
+ },
+ },
+ {
+ id: 'LPA',
+ attributes: {
+ airport: 'LPA',
+ city: 'Las Palmas',
+ region: 'ES-CI',
+ country: 'Spain',
+ continent: 'Europe',
+ coordinates: [-15.39, 27.94],
+ },
+ },
+ {
+ id: 'OSL',
+ attributes: {
+ airport: 'OSL',
+ city: 'Gardermoen',
+ region: "['Norway']-NO",
+ country: 'Norway',
+ continent: 'Europe',
+ coordinates: [11.1, 60.19],
+ },
+ },
+ {
+ id: 'LPL',
+ attributes: {
+ airport: 'LPL',
+ city: 'Liverpool',
+ region: 'GB-EN',
+ country: 'United Kingdom',
+ continent: 'Europe',
+ coordinates: [-2.85, 53.34],
+ },
+ },
+ {
+ id: 'PRG',
+ attributes: {
+ airport: 'PRG',
+ city: 'Prague',
+ region: "['Czech Republic']-CZ",
+ country: 'Czech Republic',
+ continent: 'Europe',
+ coordinates: [14.27, 50.11],
+ },
+ },
+ {
+ id: 'SNN',
+ attributes: {
+ airport: 'SNN',
+ city: 'Shannon',
+ region: "['Ireland']-IE",
+ country: 'Ireland',
+ continent: 'Europe',
+ coordinates: [-8.92, 52.69],
+ },
+ },
+ {
+ id: 'LSH',
+ attributes: {
+ airport: 'LSH',
+ city: 'Lashio',
+ region: "['Myanmar']-MM",
+ country: 'Myanmar',
+ continent: 'Asia',
+ coordinates: [97.75, 22.97],
+ },
+ },
+ {
+ id: 'HEH',
+ attributes: {
+ airport: 'HEH',
+ city: 'Heho',
+ region: "['Myanmar']-MM",
+ country: 'Myanmar',
+ continent: 'Asia',
+ coordinates: [96.79, 20.74],
+ },
+ },
+ {
+ id: 'LUO',
+ attributes: {
+ airport: 'LUO',
+ city: 'Luena',
+ region: "['Angola']-AO",
+ country: 'Angola',
+ continent: 'Africa',
+ coordinates: [20.17, -11.5],
+ },
+ },
+ {
+ id: 'LAD',
+ attributes: {
+ airport: 'LAD',
+ city: 'Luanda',
+ region: "['Angola']-AO",
+ country: 'Angola',
+ continent: 'Africa',
+ coordinates: [13.23, -8.85],
+ },
+ },
+ {
+ id: 'LWO',
+ attributes: {
+ airport: 'LWO',
+ city: 'Lviv',
+ region: "['Ukraine']-UA",
+ country: 'Ukraine',
+ continent: 'Europe',
+ coordinates: [23.96, 49.82],
+ },
+ },
+ {
+ id: 'VKO',
+ attributes: {
+ airport: 'VKO',
+ city: 'Moscow',
+ region: "['Russia']-RU",
+ country: 'Russia',
+ continent: 'Europe',
+ coordinates: [37.29, 55.6],
+ },
+ },
+ {
+ id: 'LYS',
+ attributes: {
+ airport: 'LYS',
+ city: 'Lyon',
+ region: "['France']-FR",
+ country: 'France',
+ continent: 'Europe',
+ coordinates: [5.08, 45.72],
+ },
+ },
+ {
+ id: 'BCN',
+ attributes: {
+ airport: 'BCN',
+ city: 'Barcelona',
+ region: 'ES-SP',
+ country: 'Spain',
+ continent: 'Europe',
+ coordinates: [2.08, 41.3],
+ },
+ },
+ {
+ id: 'BSK',
+ attributes: {
+ airport: 'BSK',
+ city: 'Biskra',
+ region: "['Algeria']-DZ",
+ country: 'Algeria',
+ continent: 'Africa',
+ coordinates: [5.74, 34.79],
+ },
+ },
+ {
+ id: 'MGA',
+ attributes: {
+ airport: 'MGA',
+ city: 'Managua',
+ region: "['Nicaragua']-NI",
+ country: 'Nicaragua',
+ continent: 'Central America',
+ coordinates: [-86.17, 12.14],
+ },
+ },
+ {
+ id: 'MIA',
+ attributes: {
+ airport: 'MIA',
+ city: 'Miami',
+ region: 'US-FL',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-80.28, 25.8],
+ },
+ },
+ {
+ id: 'MHD',
+ attributes: {
+ airport: 'MHD',
+ city: 'Mashad',
+ region: "['Iran']-IR",
+ country: 'Iran',
+ continent: 'Asia',
+ coordinates: [59.64, 36.23],
+ },
+ },
+ {
+ id: 'BND',
+ attributes: {
+ airport: 'BND',
+ city: 'Bandar Abbas',
+ region: "['Iran']-IR",
+ country: 'Iran',
+ continent: 'Asia',
+ coordinates: [56.37, 27.21],
+ },
+ },
+ {
+ id: 'PEC',
+ attributes: {
+ airport: 'PEC',
+ city: 'Pelican',
+ region: 'US-AK',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-136.23, 57.95],
+ },
+ },
+ {
+ id: 'JNU',
+ attributes: {
+ airport: 'JNU',
+ city: 'Juneau',
+ region: 'US-AK',
+ country: 'United States',
+ continent: 'North America',
+ coordinates: [-134.58, 58.36],
+ },
+ },
+ {
+ id: 'PEK',
+ attributes: {
+ airport: 'PEK',
+ city: 'Beijing',
+ region: "['China']-CN",
+ country: 'China',
+ continent: 'Asia',
+ coordinates: [116.59, 40.08],
+ },
+ },
+ {
+ id: 'IKT',
+ attributes: {
+ airport: 'IKT',
+ city: 'Irkutsk',
+ region: "['Russia']-RU",
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+ from: 'STN',
+ to: 'LPA',
+ attributes: { prediction: 3213 },
+ },
+ {
+ id: 3735,
+ from: 'VIE',
+ to: 'LPA',
+ attributes: { prediction: 736 },
+ },
+ {
+ id: 3736,
+ from: 'DTW',
+ to: 'MAD',
+ attributes: { prediction: 153 },
+ },
+ {
+ id: 3737,
+ from: 'ORD',
+ to: 'MAD',
+ attributes: { prediction: 5248 },
+ },
+ {
+ id: 3738,
+ from: 'LAS',
+ to: 'MAF',
+ attributes: { prediction: 3333 },
+ },
+ {
+ id: 3739,
+ from: 'LHR',
+ to: 'MAN',
+ attributes: { prediction: 39824 },
+ },
+ {
+ id: 3740,
+ from: 'MAN',
+ to: 'MBJ',
+ attributes: { prediction: 917 },
+ },
+ {
+ id: 3741,
+ from: 'MEM',
+ to: 'MIA',
+ attributes: { prediction: 6448 },
+ },
+ {
+ id: 3742,
+ from: 'BFS',
+ to: 'MJV',
+ attributes: { prediction: 1430 },
+ },
+ {
+ id: 3743,
+ from: 'FNT',
+ to: 'MKE',
+ attributes: { prediction: 2526 },
+ },
+ {
+ id: 3744,
+ from: 'VLI',
+ to: 'NOU',
+ attributes: { prediction: 1958 },
+ },
+ {
+ id: 3745,
+ from: 'WLS',
+ to: 'NOU',
+ attributes: { prediction: 584 },
+ },
+ {
+ id: 3746,
+ from: 'PMI',
+ to: 'NRN',
+ attributes: { prediction: 3238 },
+ },
+ {
+ id: 3747,
+ from: 'NOU',
+ to: 'NRT',
+ attributes: { prediction: 3006 },
+ },
+ {
+ id: 3748,
+ from: 'TLC',
+ to: 'OAK',
+ attributes: { prediction: 2179 },
+ },
+ {
+ id: 3749,
+ from: 'DTW',
+ to: 'OMA',
+ attributes: { prediction: 4407 },
+ },
+ {
+ id: 3750,
+ from: 'TVC',
+ to: 'MSP',
+ attributes: { prediction: 852 },
+ },
+ {
+ id: 3751,
+ from: 'RIX',
+ to: 'MUC',
+ attributes: { prediction: 3231 },
+ },
+ {
+ id: 3752,
+ from: 'NAT',
+ to: 'MXP',
+ attributes: { prediction: 1123 },
+ },
+ {
+ id: 3753,
+ from: 'SEZ',
+ to: 'NBO',
+ attributes: { prediction: 1044 },
+ },
+ {
+ id: 3754,
+ from: 'GUM',
+ to: 'NGO',
+ attributes: { prediction: 12174 },
+ },
+ {
+ id: 3755,
+ from: 'TUS',
+ to: 'ORD',
+ attributes: { prediction: 6339 },
+ },
+ {
+ id: 3756,
+ from: 'AES',
+ to: 'OSL',
+ attributes: { prediction: 11922 },
+ },
+ {
+ id: 3757,
+ from: 'KRS',
+ to: 'OSL',
+ attributes: { prediction: 8710 },
+ },
+ {
+ id: 3758,
+ from: 'IST',
+ to: 'OTP',
+ attributes: { prediction: 14043 },
+ },
+ {
+ id: 3759,
+ from: 'DRG',
+ to: 'OTZ',
+ attributes: { prediction: 274 },
+ },
+ {
+ id: 3760,
+ from: 'KAJ',
+ to: 'OUL',
+ attributes: { prediction: 85 },
+ },
+ {
+ id: 3761,
+ from: 'TKU',
+ to: 'OUL',
+ attributes: { prediction: 1120 },
+ },
+ {
+ id: 3762,
+ from: 'SCL',
+ to: 'PUJ',
+ attributes: { prediction: 825 },
+ },
+ {
+ id: 3763,
+ from: 'ABQ',
+ to: 'PDX',
+ attributes: { prediction: 2949 },
+ },
+ {
+ id: 3764,
+ from: 'JFK',
+ to: 'PDX',
+ attributes: { prediction: 4281 },
+ },
+ {
+ id: 3765,
+ from: 'FNJ',
+ to: 'PEK',
+ attributes: { prediction: 1246 },
+ },
+ {
+ id: 3766,
+ from: 'SOV',
+ to: 'PGM',
+ attributes: { prediction: 7 },
+ },
+ {
+ id: 3767,
+ from: 'EWR',
+ to: 'PHL',
+ attributes: { prediction: 4833 },
+ },
+ {
+ id: 3768,
+ from: 'MCI',
+ to: 'PHL',
+ attributes: { prediction: 3084 },
+ },
+ {
+ id: 3769,
+ from: 'GYM',
+ to: 'PHX',
+ attributes: { prediction: 465 },
+ },
+ {
+ id: 3770,
+ from: 'BGR',
+ to: 'PIE',
+ attributes: { prediction: 1350 },
+ },
+ {
+ id: 3771,
+ from: 'DOM',
+ to: 'PMV',
+ attributes: { prediction: 166 },
+ },
+ {
+ id: 3772,
+ from: 'VTE',
+ to: 'PNH',
+ attributes: { prediction: 3600 },
+ },
+ {
+ id: 3773,
+ from: 'KVG',
+ to: 'POM',
+ attributes: { prediction: 388 },
+ },
+ {
+ id: 3774,
+ from: 'TPI',
+ to: 'POM',
+ attributes: { prediction: 180 },
+ },
+ {
+ id: 3775,
+ from: 'AXR',
+ to: 'PPT',
+ attributes: { prediction: 192 },
+ },
+ {
+ id: 3776,
+ from: 'RFP',
+ to: 'PPT',
+ attributes: { prediction: 6828 },
+ },
+ {
+ id: 3777,
+ from: 'TIH',
+ to: 'PPT',
+ attributes: { prediction: 1087 },
+ },
+ {
+ id: 3778,
+ from: 'BHX',
+ to: 'PSA',
+ attributes: { prediction: 1239 },
+ },
+ {
+ id: 3779,
+ from: 'SRZ',
+ to: 'PSZ',
+ attributes: { prediction: 424 },
+ },
+ {
+ id: 3780,
+ from: 'GTA',
+ to: 'RBV',
+ attributes: { prediction: 50 },
+ },
+ {
+ id: 3781,
+ from: 'PHX',
+ to: 'RDU',
+ attributes: { prediction: 3190 },
+ },
+ {
+ id: 3782,
+ from: 'LPQ',
+ to: 'REP',
+ attributes: { prediction: 1082 },
+ },
+ {
+ id: 3783,
+ from: 'MEX',
+ to: 'SCL',
+ attributes: { prediction: 8822 },
+ },
+ {
+ id: 3784,
+ from: 'YKM',
+ to: 'SEA',
+ attributes: { prediction: 4388 },
+ },
+ {
+ id: 3785,
+ from: 'LAS',
+ to: 'SFO',
+ attributes: { prediction: 62881 },
+ },
+ {
+ id: 3786,
+ from: 'VKG',
+ to: 'SGN',
+ attributes: { prediction: 1248 },
+ },
+ {
+ id: 3787,
+ from: 'JJN',
+ to: 'SHA',
+ attributes: { prediction: 3616 },
+ },
+ {
+ id: 3788,
+ from: 'BAV',
+ to: 'SHE',
+ attributes: { prediction: 1187 },
+ },
+ {
+ id: 3789,
+ from: 'BNE',
+ to: 'SIN',
+ attributes: { prediction: 37681 },
+ },
+ {
+ id: 3790,
+ from: 'FUK',
+ to: 'SIN',
+ attributes: { prediction: 9219 },
+ },
+ {
+ id: 3791,
+ from: 'PNH',
+ to: 'SIN',
+ attributes: { prediction: 8072 },
+ },
+ {
+ id: 3792,
+ from: 'SMF',
+ to: 'SJD',
+ attributes: { prediction: 1920 },
+ },
+ {
+ id: 3793,
+ from: 'IAH',
+ to: 'SJO',
+ attributes: { prediction: 13188 },
+ },
+ {
+ id: 3794,
+ from: 'NOB',
+ to: 'SJO',
+ attributes: { prediction: 134 },
+ },
+ {
+ id: 3795,
+ from: 'SJD',
+ to: 'SLC',
+ attributes: { prediction: 496 },
+ },
+ {
+ id: 3796,
+ from: 'ATL',
+ to: 'YUL',
+ attributes: { prediction: 6133 },
+ },
+ {
+ id: 3797,
+ from: 'YSJ',
+ to: 'YUL',
+ attributes: { prediction: 2420 },
+ },
+ {
+ id: 3798,
+ from: 'YYZ',
+ to: 'YUL',
+ attributes: { prediction: 67535 },
+ },
+ {
+ id: 3799,
+ from: 'YEV',
+ to: 'YVQ',
+ attributes: { prediction: 694 },
+ },
+ {
+ id: 3800,
+ from: 'YRT',
+ to: 'YWG',
+ attributes: { prediction: 1402 },
+ },
+ {
+ id: 3801,
+ from: 'AGU',
+ to: 'TIJ',
+ attributes: { prediction: 1950 },
+ },
+ {
+ id: 3802,
+ from: 'DAM',
+ to: 'TIP',
+ attributes: { prediction: 2329 },
+ },
+ {
+ id: 3803,
+ from: 'EWR',
+ to: 'TLV',
+ attributes: { prediction: 25294 },
+ },
+ {
+ id: 3804,
+ from: 'IAH',
+ to: 'TPA',
+ attributes: { prediction: 24019 },
+ },
+ {
+ id: 3805,
+ from: 'CDG',
+ to: 'TRN',
+ attributes: { prediction: 15497 },
+ },
+ {
+ id: 3806,
+ from: 'AOI',
+ to: 'TSR',
+ attributes: { prediction: 1190 },
+ },
+ {
+ id: 3807,
+ from: 'MUC',
+ to: 'TSR',
+ attributes: { prediction: 7243 },
+ },
+ {
+ id: 3808,
+ from: 'TOG',
+ to: 'TWA',
+ attributes: { prediction: 36 },
+ },
+ {
+ id: 3809,
+ from: 'GRU',
+ to: 'UBA',
+ attributes: { prediction: 473 },
+ },
+ {
+ id: 3810,
+ from: 'YDQ',
+ to: 'YYE',
+ attributes: { prediction: 325 },
+ },
+ {
+ id: 3811,
+ from: 'GEO',
+ to: 'YYZ',
+ attributes: { prediction: 777 },
+ },
+ {
+ id: 3812,
+ from: 'GRR',
+ to: 'YYZ',
+ attributes: { prediction: 647 },
+ },
+ {
+ id: 3813,
+ from: 'LAS',
+ to: 'YYZ',
+ attributes: { prediction: 7856 },
+ },
+ {
+ id: 3814,
+ from: 'YQG',
+ to: 'YYZ',
+ attributes: { prediction: 3997 },
+ },
+ {
+ id: 3815,
+ from: 'YXU',
+ to: 'YYZ',
+ attributes: { prediction: 5558 },
+ },
+ {
+ id: 3816,
+ from: 'YCO',
+ to: 'YZF',
+ attributes: { prediction: 1363 },
+ },
+ {
+ id: 3817,
+ from: 'GRZ',
+ to: 'VIE',
+ attributes: { prediction: 5844 },
+ },
+ {
+ id: 3818,
+ from: 'KRR',
+ to: 'VIE',
+ attributes: { prediction: 2058 },
+ },
+ {
+ id: 3819,
+ from: 'VQS',
+ to: 'VIJ',
+ attributes: { prediction: 311 },
+ },
+ {
+ id: 3820,
+ from: 'TSV',
+ to: 'WIN',
+ attributes: { prediction: 302 },
+ },
+ {
+ id: 3821,
+ from: 'NPE',
+ to: 'WLG',
+ attributes: { prediction: 7849 },
+ },
+ {
+ id: 3822,
+ from: 'KTN',
+ to: 'WMK',
+ attributes: { prediction: 19 },
+ },
+ {
+ id: 3823,
+ from: 'GDT',
+ to: 'XSC',
+ attributes: { prediction: 312 },
+ },
+ {
+ id: 3824,
+ from: 'YQT',
+ to: 'YFH',
+ attributes: { prediction: 728 },
+ },
+ {
+ id: 3825,
+ from: 'YVO',
+ to: 'YHU',
+ attributes: { prediction: 138 },
+ },
+ {
+ id: 3826,
+ from: 'ICN',
+ to: 'YNJ',
+ attributes: { prediction: 8082 },
+ },
+ {
+ id: 3827,
+ from: 'YPX',
+ to: 'YZG',
+ attributes: { prediction: 798 },
+ },
+ {
+ id: 3828,
+ from: 'YNC',
+ to: 'ZEM',
+ attributes: { prediction: 375 },
+ },
+ {
+ id: 3829,
+ from: 'FRA',
+ to: 'ZRH',
+ attributes: { prediction: 27983 },
+ },
+ {
+ id: 3830,
+ from: 'OPO',
+ to: 'ZRH',
+ attributes: { prediction: 3531 },
+ },
+ ],
+};
diff --git a/libs/shared/lib/vis/geovis/readability.tsx b/libs/shared/lib/vis/geovis/readability.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..de267f6e5c134bdbc8b74e42157857ac18c5ab40
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/readability.tsx
@@ -0,0 +1,92 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { Edge } from './types';
+
+export const EdgeCrossings = (edges: Edge[]) => {
+ /**
+ * Custom implementation from greadability.js (https://github.com/rpgove/greadability/blob/master/greadability.js)
+ * Improved it with a sweep line algorithm
+ */
+ let n_crossings = 0;
+
+ edges.sort((a, b) => a.from_coordinates[0] - b.from_coordinates[0]);
+
+ const activeSegments: Edge[] = [];
+
+ for (let i = 0; i < edges.length; i++) {
+ const edge: Edge = edges[i];
+
+ let count = 0;
+ while (count < activeSegments.length) {
+ const segment: Edge = activeSegments[count];
+ if (segment.to_coordinates[0] <= edge.from_coordinates[0]) {
+ activeSegments.splice(count, 1);
+ } else {
+ if (doEdgesCross(edge, segment)) {
+ n_crossings++;
+ }
+ count++;
+ }
+ }
+
+ activeSegments.push(edge);
+ }
+
+ return n_crossings;
+};
+
+const doEdgesCross = (edge_one, edge_two) => {
+ const from1 = edge_one.from_coordinates;
+ const to1 = edge_one.to_coordinates;
+ const from2 = edge_two.from_coordinates;
+ const to2 = edge_two.to_coordinates;
+
+ return linesCross([from1, to1], [from2, to2]);
+};
+
+// Inspiration: https://github.com/rpgove/greadability/blob/master/greadability.js
+
+const direction = (pi, pj, pk) => {
+ var p1 = [pk[0] - pi[0], pk[1] - pi[1]];
+ var p2 = [pj[0] - pi[0], pj[1] - pi[1]];
+ return p1[0] * p2[1] - p2[0] * p1[1];
+};
+
+const onSegment = (pi, pj, pk) => {
+ return (
+ Math.min(pi[0], pj[0]) <= pk[0] &&
+ pk[0] <= Math.max(pi[0], pj[0]) &&
+ Math.min(pi[1], pj[1]) <= pk[1] &&
+ pk[1] <= Math.max(pi[1], pj[1])
+ );
+};
+
+const linesCross = (line1, line2) => {
+ var d1, d2, d3, d4;
+
+ d1 = direction(line2[0], line2[1], line1[0]);
+ d2 = direction(line2[0], line2[1], line1[1]);
+ d3 = direction(line1[0], line1[1], line2[0]);
+ d4 = direction(line1[0], line1[1], line2[1]);
+
+ if (
+ ((d1 > 0 && d2 < 0) || (d1 < 0 && d2 > 0)) &&
+ ((d3 > 0 && d4 < 0) || (d3 < 0 && d4 > 0))
+ ) {
+ return true;
+ } else if (d1 === 0 && onSegment(line2[0], line2[1], line1[0])) {
+ return true;
+ } else if (d2 === 0 && onSegment(line2[0], line2[1], line1[1])) {
+ return true;
+ } else if (d3 === 0 && onSegment(line1[0], line1[1], line2[0])) {
+ return true;
+ } else if (d4 === 0 && onSegment(line1[0], line1[1], line2[1])) {
+ return true;
+ }
+
+ return false;
+};
diff --git a/libs/shared/lib/vis/geovis/types.tsx b/libs/shared/lib/vis/geovis/types.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..0490ac972086889b9b24ceeb1ad14ea030993850
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/types.tsx
@@ -0,0 +1,80 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+export type Coordinates = [number, number];
+
+export interface Node {
+ id: string;
+ [key: string]: any;
+ attributes: {
+ coordinates: Coordinates;
+ [key: string]: any;
+ };
+}
+
+export interface Edge {
+ id: string;
+ from: string;
+ to: string;
+ [key: string]: any;
+ attributes: {
+ [key: string]: any;
+ };
+}
+
+export interface Graph {
+ nodes: Node[];
+ edges: Edge[];
+ [key: string]: any;
+}
+
+export interface Command {
+ execute: (data: Graph) => Graph;
+}
+
+export interface ViewModel {
+ data: Graph;
+ executeCommand: (command: Command) => void;
+ addCoordinatesToEdges: () => void;
+}
+
+export interface Bundle {
+ [key: string]: Edge[];
+}
+
+export interface BundledEdge extends Edge {
+ from: string;
+ to: string;
+ color: number[];
+ numEdges: number;
+ from_coordinates: number[];
+ to_coordinates: number[];
+}
+
+export interface BundleDict {
+ [key: string]: Bundle;
+}
+
+export interface Viewport {
+ [key: string]: any;
+}
+
+export interface LayerProps {
+ data: Graph;
+ config: {
+ heatmap: Record<string, unknown>;
+ nodes: Record<string, unknown>;
+ edges: Record<string, unknown>;
+ };
+ [key: string]: any;
+}
+
+export interface MapProps {
+ graph: ViewModel | null;
+ mapType: number;
+ isAggregated: boolean;
+ isFanned: boolean;
+}
diff --git a/libs/shared/lib/vis/geovis/unfoldingEdges.tsx b/libs/shared/lib/vis/geovis/unfoldingEdges.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..98e1a5bf1e6508a0be46f1212e389c92998392fe
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/unfoldingEdges.tsx
@@ -0,0 +1,89 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { ViewModel, Command, Edge, Graph, Coordinates } from './types';
+import { calcNodeDistance } from './utils';
+import * as d3 from 'd3';
+
+export const fanEdges = (
+ graph: Graph,
+ selectedNode: string | null,
+ maxWidth: number
+) => {
+ const edgeGroups: { [key: string]: Edge[] } = {};
+
+ graph.data.edges.forEach((edge: Edge) => {
+ const key: string = `${edge.from}-${edge.to}`;
+ if (!edgeGroups[key]) {
+ edgeGroups[key] = [edge];
+ } else {
+ edgeGroups[key].push(edge);
+ }
+ });
+
+ const fanned: Edge[] = [];
+
+ const colorScale: d3.ScaleLinear<string, string> = d3
+ .scaleLinear<string>()
+ .domain([0, 2000])
+ .range(['yellow', 'red']);
+
+ Object.values(edgeGroups).forEach((bundle) => {
+ let adjacentNodeSelected: boolean = false;
+ if (
+ (selectedNode !== null && selectedNode === bundle[0].from) ||
+ selectedNode === bundle[0].to
+ ) {
+ adjacentNodeSelected = true;
+ }
+
+ if (selectedNode && !adjacentNodeSelected) {
+ return;
+ }
+
+ const prediction: number = bundle[0].attributes.prediction;
+ const color: string = colorScale(prediction);
+ const rgb: string[] = color.replace(/[^\d,]/g, '').split(',');
+ const num_edges: number = bundle.length;
+
+ if (bundle.length === 1) {
+ fanned.push({
+ ...bundle[0],
+ from_coordinates: bundle[0].from_coordinates,
+ to_coordinates: bundle[0].to_coordinates,
+ color: rgb.map(Number),
+ numEdges: num_edges,
+ });
+ } else {
+ const source: Coordinates = bundle[0].from_coordinates;
+ const target: Coordinates = bundle[0].to_coordinates;
+ const node_distance: number = calcNodeDistance(source, target);
+ const inViewport: boolean = node_distance < maxWidth - 20;
+
+ bundle.forEach((edge: Edge, index: number) => {
+ const newEdge: Edge = {
+ ...edge,
+ from_coordinates: source,
+ to_coordinates: target,
+ color: rgb.map(Number),
+ numEdges: num_edges,
+ };
+
+ if (inViewport) {
+ fanned.push(newEdge);
+ } else {
+ fanned.push({
+ ...newEdge,
+ tilt: (index / num_edges) * Math.PI,
+ numEdges: 1,
+ });
+ }
+ });
+ }
+ });
+
+ return fanned;
+};
diff --git a/libs/shared/lib/vis/geovis/utils.tsx b/libs/shared/lib/vis/geovis/utils.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..b7034acc1109c29bc2e739836e09fc89bf632f52
--- /dev/null
+++ b/libs/shared/lib/vis/geovis/utils.tsx
@@ -0,0 +1,109 @@
+/**
+ * This program has been developed by a student from the bachelor Information Science at
+ * Utrecht University within the Research Project course.
+ * © Copyright Utrecht University (Department of Information and Computing Sciences)
+ */
+
+import { Graph, Viewport, Coordinates } from './types';
+
+export const calcMaxWidth = (viewport: Viewport): number => {
+ const vpBounds: number[] = viewport.getBounds();
+ return Math.sqrt(
+ Math.pow(vpBounds[0] - vpBounds[2], 2) +
+ Math.pow(vpBounds[1] - vpBounds[3], 2)
+ );
+};
+
+export const getColor = (prediction, colorScale): [number, number, number] => {
+ return colorScale(prediction)
+ .replace(/[^\d,]/g, '')
+ .split(',')
+ .map(Number);
+};
+
+export const calcAverageCoordinates = (
+ lat: number[],
+ long: number[]
+): [number, number] => {
+ return [
+ lat.reduce((p, c) => p + c, 0) / lat.length,
+ long.reduce((p, c) => p + c, 0) / long.length,
+ ];
+};
+
+export const calcNodeDistance = (
+ source: Coordinates,
+ target: Coordinates
+): number => {
+ return Math.sqrt(
+ Math.pow(source[0] - target[0], 2) + Math.pow(source[1] - target[1], 2)
+ );
+};
+
+export const getInitialViewState = (
+ graph: Graph,
+ coordinate_path: string = 'attributes.coordinates'
+): { [key: string]: number } => {
+ const coordinates: Coordinates[] = graph.nodes.map((node) =>
+ eval(`node.${coordinate_path}`)
+ );
+
+ const viewBounds: { [key: string]: number } = {
+ minLong: coordinates[0][0],
+ maxLong: coordinates[0][0],
+ minLat: coordinates[0][1],
+ maxLat: coordinates[0][1],
+ };
+
+ for (let i = 1; i < coordinates.length; i++) {
+ const location: Coordinates = coordinates[i];
+ viewBounds.minLong = Math.min(viewBounds.minLong, location[0]);
+ viewBounds.maxLong = Math.max(viewBounds.maxLong, location[0]);
+ viewBounds.minLat = Math.min(viewBounds.minLat, location[1]);
+ viewBounds.maxLat = Math.max(viewBounds.maxLat, location[1]);
+ }
+
+ const middleLat: number = (viewBounds.minLat + viewBounds.maxLat) / 2;
+ const middleLong: number = (viewBounds.minLong + viewBounds.maxLong) / 2;
+
+ const maxSpan: number = Math.max(
+ viewBounds.maxLong - viewBounds.minLong,
+ viewBounds.maxLat - viewBounds.minLat
+ );
+
+ const optimalZoom: number = Math.min(20, 20 * (maxSpan / 360)) - 3;
+
+ return {
+ latitude: middleLat,
+ longitude: middleLong,
+ zoom: optimalZoom,
+ };
+};
+
+export const getKeys = (
+ graph,
+ prefix = '',
+ paths = { nodes: new Set(), edges: new Set() }
+) => {
+ for (const key in graph) {
+ if (typeof graph[key] === 'object' && graph[key] !== null) {
+ if (Array.isArray(graph[key])) {
+ const newPrefix = prefix ? `${prefix}.${key}` : key;
+ for (let i = 0; i < graph[key].length; i++) {
+ getKeys(graph[key][i], newPrefix, paths);
+ }
+ } else {
+ const newPrefix = prefix ? `${prefix}.${key}` : key;
+ getKeys(graph[key], newPrefix, paths);
+ }
+ } else {
+ const path = prefix ? `${prefix}.${key}` : key;
+ if (prefix.startsWith('nodes')) {
+ paths.nodes.add(path);
+ } else if (prefix.startsWith('edges')) {
+ paths.edges.add(path);
+ }
+ }
+ }
+ return paths;
+};
diff --git a/libs/shared/lib/vis/nodelink/NodeLinkViewModel.tsx b/libs/shared/lib/vis/nodelink/NodeLinkViewModel.tsx
index 8f72e455e4ce918257c2b2286552a67170cfb714..a86efa320740c7482bdcdf05b1a333afe216831a 100644
--- a/libs/shared/lib/vis/nodelink/NodeLinkViewModel.tsx
+++ b/libs/shared/lib/vis/nodelink/NodeLinkViewModel.tsx
@@ -59,7 +59,7 @@ export default class NodeLinkViewModel {
width: number,
height: number,
ref: React.RefObject<HTMLDivElement>,
- theme: Theme,
+ theme: Theme
) {
this.radius = 5;
@@ -411,10 +411,9 @@ export default class NodeLinkViewModel {
node.gfx = new PIXI.Graphics();
node.selected = selected;
const lineColour = selected
- ? this.theme.palette.custom.nodeHighlightedEdge.replace('#', '')
- : this.theme.palette.custom.visBackground.replace('#', '');
+ ? this.theme.palette.custom.nodeHighlightedEdge
+ : this.theme.palette.custom.visBackground;
const lineWidth = selected ? 3 : 1.5;
-
node.gfx.lineStyle(lineWidth, Number('0x' + lineColour));
//check if not undefined.
if (node.cluster) {
@@ -456,7 +455,6 @@ export default class NodeLinkViewModel {
gfxName.x = 10;
gfxName.y = 10;
gfxName.name = 'header';
-
node.gfxAttributes.addChild(gfxName);
// add attributes container
@@ -857,9 +855,9 @@ export default class NodeLinkViewModel {
* @returns {number} A number corresponding to a color in the d3 color scheme.
*/
public colour = (num: number) => {
- num = num % 20;
+ //num = num % 4;
const col = this.theme.palette.custom.nodes[num];
- return Number('0x' + col.replace('#', ''));
+ return Number('0x' + col);
};
//MACHINE LEARNING--------------------------------------------------------------------------------------------------