Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/eurostat/gridviz

A package for visualizing gridded data 🌐
https://github.com/eurostat/gridviz

cartography csv d3 data data-analysis data-science data-visualization datascience geospatial gis gridded-statistics grids gridviz map map-making mapping mapping-tools maps visualization webgl

Last synced: about 1 month ago
JSON representation

A package for visualizing gridded data 🌐

Host: GitHub
URL: https://github.com/eurostat/gridviz
Owner: eurostat
License: eupl-1.2
Created: 2019-10-15T11:53:23.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2024-03-26T15:05:14.000Z (3 months ago)
Last Synced: 2024-03-26T17:19:54.962Z (3 months ago)
Topics: cartography, csv, d3, data, data-analysis, data-science, data-visualization, datascience, geospatial, gis, gridded-statistics, grids, gridviz, map, map-making, mapping, mapping-tools, maps, visualization, webgl
Language: JavaScript
Homepage: https://eurostat.github.io/gridviz/
Size: 1.53 GB
Stars: 179
Watchers: 16
Forks: 10
Open Issues: 8
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-frontend-gis - gridviz - A package for visualizing gridded data. (👨‍💻 JavaScript Libraries / Mapping)

README

        # Gridviz

![npm bundle size](https://img.shields.io/bundlephobia/minzip/gridviz)

![npm](https://img.shields.io/npm/v/gridviz)

![license](https://img.shields.io/badge/license-EUPL-success)



    



[Gridviz](https://github.com/eurostat/gridviz/) is a JavaScript library for visualizing gridded data (or any tabular dataset with x/y coordinates for that matter) in the browser using a large variety of [cartographic styles and techniques](https://github.com/eurostat/gridviz/blob/master/docs/gallery.md). Unlike traditional raster-based web mapping tools, Gridviz renders everything client-side, on the fly.

## Styles

[Visit the style gallery](https://github.com/eurostat/gridviz/blob/master/docs/gallery.md) to see the different customisable styles available for visualizing gridded data with gridviz.

[](https://eurostat.github.io/gridviz/docs/reference#shapecolorsize-style)

[](https://eurostat.github.io/gridviz/docs/reference#side-category-style)

[](https://eurostat.github.io/gridviz/docs/reference#shapecolorsize-style)

[](https://eurostat.github.io/gridviz/docs/reference#square-color-webgl-style)

[](https://eurostat.github.io/gridviz/docs/reference#kernel-smoothing)

[](https://eurostat.github.io/gridviz/docs/reference#tanaka-style)

[](https://eurostat.github.io/gridviz/docs/reference#joyplot-style)

[](https://eurostat.github.io/gridviz/docs/reference#lego-style)

[](https://eurostat.github.io/gridviz/docs/reference#text-style)

[](https://eurostat.github.io/gridviz/docs/reference#dot-density-style)

[](https://eurostat.github.io/gridviz/docs/reference#joyplot-style)

## Live Demos

-   [Europe - 1km resolution - GEOSTAT/GISCO](https://eurostat.github.io/gridviz/examples/demos/EUR.html)

-   [Germany - 100m resolution - Zensus 2011](https://eurostat.github.io/gridviz/examples/demos/DE.html)

-   [France - 200m resolution - INSEE Filosofi](https://eurostat.github.io/gridviz/examples/demos/FR.html). Focus on [total population](https://eurostat.github.io/gridviz/examples/demos/FR_pop.html) and [income](https://eurostat.github.io/gridviz/examples/demos/FR_income.html).

-   [Norway - 250m resolution - SSB](https://eurostat.github.io/gridviz/examples/demos/NO.html)

-   [Croatia - 1km resolution - DZS 2015 grid](https://eurostat.github.io/gridviz/examples/demos/HR.html)

-   [France population, dark style](https://eurostat.github.io/gridviz/examples/styles/squarecolorwgl_dark.html)

-   [Europe population as a mosaic](https://eurostat.github.io/gridviz/examples/styles/mosaic_full.html)

-   [Belgium population](https://eurostat.github.io/gridviz/examples/basics/mixed_resolution_BE.html), as mixed resolution layer.

## Installation

### Node.js

```Shell

npm install gridviz

```

then

```javascript

import * as gridviz from 'gridviz'

```

Or you can cherry-pick only the modules that you need, for example:

```javascript

import { Map, SquareColorWebGLStyle } from 'gridviz'

```

### Basic example

Here’s a basic example that loads a CSV file of a European population grid (5km resolution):

```javascript

//define map with initial view

const map = new gridviz.Map(document.getElementById('map'), { x: 4500000, y: 2900000, z: 3000 })

//define dataset

const dataset = new gridviz.CSVGrid(map, "https://raw.githubusercontent.com/eurostat/gridviz/master/assets/csv/Europe/pop_2018_10km.csv", 10000)

//define color for each cell

const colorFunction = (cell) => {

    if (cell.population > 150000) return "#993404"

    else if (cell.population > 60000) return "#d95f0e"

    else if (cell.population > 20000) return "#fe9929"

    else if (cell.population > 6000) return "#fec44f"

    else if (cell.population > 1500) return "#fee391"

    else return "#ffffd4"

}

//define style

const style = new gridviz.ShapeColorSizeStyle({ color: colorFunction })

//add layer to map

map.layers = [new gridviz.GridLayer(dataset, [style])]

```

See the **[documentation page](https://eurostat.github.io/gridviz/docs/reference)** for more information.

### standalone

```javascript

```

## Documentation

See the **[gridviz documentation page](./docs/reference.md)**.

The document of [the previous version 2](./docs/reference_v2.md).

## Grid tiling

In order to visualize large grids efficiently, you can produce tiled grids in a [tiled grid format](https://eurostat.github.io/gridviz/docs/tiledformat) with **[GridTiler](https://github.com/eurostat/gridtiler)**.

## About

|                |        |

| -------------- | ----------- |

| _contributors_ | [](https://github.com/jgaffuri) [](https://github.com/JoeWDavies) |

| _version_      | See [npm](https://www.npmjs.com/package/gridviz?activeTab=versions)            |

| _status_       | Since 2020         |

| _license_      | [EUPL 1.2](LICENSE)            |

### Support and contribution

Feel free to [ask support](https://github.com/eurostat/gridviz/issues/new), fork the project or simply star it (it's always a pleasure).

### Copyright

The [Eurostat NUTS dataset](http://ec.europa.eu/eurostat/web/nuts/overview) is copyrighted. There are [specific provisions](https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units) for the usage of this dataset which must be respected. The usage of these data is subject to their acceptance. See the [Eurostat-GISCO website](http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts) for more information.

### Disclaimer

The designations employed and the presentation of material on these maps do not imply the expression of any opinion whatsoever on the part of the European Union concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Kosovo*: This designation is without prejudice to positions on status, and is in line with UNSCR 1244/1999 and the ICJ Opinion on the Kosovo declaration of independence. Palestine*: This designation shall not be construed as recognition of a State of Palestine and is without prejudice to the individual positions of the Member States on this issue.