### Development Environment Setup

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/README.md

Commands to set up the local development environment for chartjs-chart-geo. It includes installing Yarn globally, installing project dependencies, and setting up VS Code SDKs.

```shell
npm i -g yarn
yarn install
yarn sdks vscode
```

--------------------------------

### Install Chart.js Geo Module

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/README.md

Installs the chart.js and chartjs-chart-geo npm packages. This is a prerequisite for using the charting library.

```bash
npm install --save chart.js chartjs-chart-geo
```

--------------------------------

### Choropleth Map Configuration (TypeScript)

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/docs/examples/index.md

Provides the configuration options for a Choropleth map. This typically includes map projection settings, data styling, and color scales. It's designed to be used with a charting library.

```typescript
export const config = {
  options: {
    showOutline: false,
    showGraticule: false,
    projection: {
      type: 'mercator',
      scale: 200
    }
  },
  data: {
    labels: [
      'USA',
      'Canada',
      'Mexico'
    ],
    datasets: [
      {
        label: 'Population',
        data: [
          { name: 'USA', value: 331000000 },
          { name: 'Canada', value: 37000000 },
          { name: 'Mexico', value: 128000000 }
        ]
      }
    ]
  }
};
```

--------------------------------

### Bubble Map Configuration (TypeScript)

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/docs/examples/index.md

Defines the configuration for a Bubble Map, specifying chart options and data. This includes settings for the map projection and the data points, each with a name and a value representing the bubble size.

```typescript
export const config = {
  options: {
    showOutline: false,
    showGraticule: false,
    projection: {
      type: 'albersUsa',
      scale: 1000
    }
  },
  data: {
    labels: [
      'New York',
      'Los Angeles',
      'Chicago'
    ],
    datasets: [
      {
        label: 'GDP',
        data: [
          { name: 'New York', value: 1700000000000 },
          { name: 'Los Angeles', value: 1000000000000 },
          { name: 'Chicago', value: 700000000000 }
        ]
      }
    ]
  }
};
```

--------------------------------

### Render US Choropleth Map with Chart.js

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/samples/geo.html

This JavaScript code fetches US states topology data from a CDN and uses it to create a choropleth map with Chart.js. It outlines the nation and assigns random values to each state for visualization. The chart uses the 'albersUsa' projection.

```javascript
fetch('https://cdn.jsdelivr.net/npm/us-atlas/states-10m.json')
  .then((r) => r.json())
  .then((states10m) => {
    const nation = ChartGeo.topojson.feature(states10m, states10m.objects.nation).features[0];
    const states = ChartGeo.topojson.feature(states10m, states10m.objects.states).features;
    const chart = new Chart(document.getElementById('canvas').getContext('2d'), {
      type: 'choropleth',
      data: {
        labels: states.map((d) => d.properties.name),
        datasets: [
          {
            label: 'States',
            outline: nation,
            data: states.map((d) => ({
              feature: d,
              value: Math.random() * 11,
            })),
          },
        ],
      },
      options: {
        scales: {
          projection: {
            axis: 'x',
            projection: 'albersUsa',
          },
          color: {
            axis: 'x',
            quantize: 5,
            legend: {
              position: 'bottom-right',
              align: 'right',
            },
          },
        },
      },
    });
  });
```

--------------------------------

### Common Development Commands

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/README.md

A list of frequently used commands for developing and maintaining the chartjs-chart-geo project. These cover compilation, testing, linting, fixing, building, and documentation generation.

```shell
yarn compile
yarn test
yarn lint
yarn fix
yarn build
yarn docs
```

--------------------------------

### Choropleth Data Structure and Configuration

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/README.md

Demonstrates how to structure data for a choropleth map using TopoJSON features and values. It includes fetching TopoJSON data, processing features, and configuring Chart.js with projection settings.

```javascript
const us = await fetch('https://cdn.jsdelivr.net/npm/us-atlas/states-10m.json').then((r) => r.json());

// whole US for the outline
const nation = ChartGeo.topojson.feature(us, us.objects.nation).features[0];
// individual states
const states = ChartGeo.topojson.feature(us, us.objects.states).features;

const alaska = states.find((d) => d.properties.name === 'Alaska');
const california = states.find((d) => d.properties.name === 'California');
...

const config = {
  data: {
    labels: ['Alaska', 'California'],
    datasets: [{
      label: 'States',
      outline: nation, // ... outline to compute bounds
      showOutline: true,
      data: [
        {
          value: 0.4,
          feature: alaska // ... the feature to render
        },
        {
          value: 0.3,
          feature: california
        }
      ]
    }]
  },
  options: {
    scales: {
      projection: {
        projection: 'albersUsa' // ... projection method
      }
    }
  }
};


```

--------------------------------

### ESM Integration - Variant A: Manual Registration

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/README.md

Shows how to import and register Chart.js controllers and scales manually when using the ESM build of chartjs-chart-geo. This approach ensures tree shaking by only importing necessary components.

```javascript
import { Chart } from 'chart.js';
import { ChoroplethController, GeoFeature, ColorScale, ProjectionScale } from 'chartjs-chart-geo';

// register controller in chart.js and ensure the defaults are set
Chart.register(ChoroplethController, GeoFeature, ColorScale, ProjectionScale);

const chart = new Chart(document.getElementById('canvas').getContext('2d'), {
  type: 'choropleth',
  data: {
    // ...
  },
});
```

--------------------------------

### ESM Integration - Variant B: Using Chart Class

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/README.md

Demonstrates a simpler method for integrating chartjs-chart-geo using ESM, where a specific chart class (e.g., ChoroplethChart) is imported directly. This abstracts away the manual registration of controllers and scales.

```javascript
import { ChoroplethChart } from 'chartjs-chart-geo';

const chart = new ChoroplethChart(document.getElementById('canvas').getContext('2d'), {
  data: {
    //...
  },
});
```

--------------------------------

### Bubble Map Data Structure Interface

Source: https://github.com/sgratzl/chartjs-chart-geo/blob/main/README.md

Defines the data structure for a single point in a Bubble Map, using longitude, latitude, and a value for scaling the symbol's radius. This replaces the 'r' attribute used in standard Chart.js bubble charts.

```typescript
interface IBubbleMapPoint {
  longitude: number;
  latitude: number;
  value: number;
}
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.