> For the complete documentation index, see [llms.txt](https://xunli.gitbook.io/jsgeoda/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xunli.gitbook.io/jsgeoda/master.md).

# jsGeoDa (beta)

## *Spatial data analysis in browser!!* 

jsgeoda is the first javascript library for spatial data analysis with functionalities of choropleth mapping, spatial weights, local indicators of spatial association,  spatial clustering, and cluster analysis. With a few lines of code, you can run spatial data analysis in a web browser or in Node.js:

```javascript
import jsgeoda from 'jsgeoda';

const geoda = await jsgeoda.New();

// get geojson 
const response = await fetch('./natregimes.geojson');
const ab = response.arrayBuffer();

// read geojson in jsgeoda
const nat = geoda.readGeoJSON(ab);

// create Queen contiguity weights
const w = geoda.getQueenWeights(nat);

// get values of variable "HR60"
const hr60 = geoda.getColumn('HR60');

// apply local Moran statistics on variable "HR60"
const lm = geoda.localMoran(w, hr60);

```

jsgeoda can be easily integrated with your web application. [the US Covid Altas](https://theuscovidatlas.org) is the first web application that integrates jsgeoda to run high power spatial analytics in the browser without server needed:

![theuscovidatlas.org](/files/-MMxbKEqj8yTUBRq7oVM)

## Hands-On Tutorials:

![](/files/-MbTjL-sLNcPihx8_IbV)

###

### 1.Hello jsgeoda!

<https://codesandbox.io/s/1-hello-jsgeoda-foq4j>

### 2. Load spatial data

<https://codesandbox.io/s/2-load-spatial-data-dgcux>

### 3. Choropleth Mapping

<https://codesandbox.io/s/3basicmapping-lcguj>

### 4. Spatial Weights

<https://codesandbox.io/s/4spatial-weights-owi84>

### 5. Univariate LISA

<https://codesandbox.io/s/5lisaunivariate-zhhop>

### 6. Multivariate LISA

<https://codesandbox.io/s/6lisamultivariate-4w3hk>

### 7. Spatial Clustering

<https://codesandbox.io/s/7spatialclustering-uvz12>