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The shapefile npm package is used for reading and parsing shapefiles, which are a popular geospatial vector data format for geographic information system (GIS) software. This package allows you to read shapefiles and convert them into GeoJSON format, making it easier to work with geospatial data in JavaScript applications.
Reading Shapefiles
This feature allows you to read a shapefile and log its contents. The code opens a shapefile, reads its records, and logs each record to the console.
const shapefile = require('shapefile');
shapefile.open("path/to/shapefile.shp")
.then(source => source.read()
.then(function log(result) {
if (result.done) return;
console.log(result.value);
return source.read().then(log);
}))
.catch(error => console.error(error));
Converting Shapefiles to GeoJSON
This feature allows you to convert a shapefile directly to GeoJSON format. The code reads a shapefile and converts its contents to GeoJSON, which is then logged to the console.
const shapefile = require('shapefile');
shapefile.read("path/to/shapefile.shp")
.then(geojson => console.log(JSON.stringify(geojson)))
.catch(error => console.error(error));
shpjs is a JavaScript library for reading shapefiles in the browser. It can read both .shp and .dbf files and convert them to GeoJSON. Compared to shapefile, shpjs is more focused on client-side usage and is suitable for web applications that need to handle shapefiles directly in the browser.
Terraformer is a modular toolkit for working with geographic data in JavaScript. It includes tools for reading and writing GeoJSON, as well as converting between different geospatial formats. While it does not specifically focus on shapefiles, it provides a broader set of tools for geospatial data manipulation compared to shapefile.
gdal (Geospatial Data Abstraction Library) is a powerful library for reading and writing raster and vector geospatial data formats. The gdal npm package provides bindings to the GDAL library, allowing you to work with a wide range of geospatial data formats, including shapefiles. It is more comprehensive and feature-rich compared to shapefile, but also more complex to use.
Based on the ESRI Shapefile Technical Description.
FAQs
An implementation of the shapefile (.shp) spatial data format.
The npm package shapefile receives a total of 149,298 weekly downloads. As such, shapefile popularity was classified as popular.
We found that shapefile demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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