npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

ginkgoch-shapefile

v2.7.2

Published

This is a NodeJs library to help to read/write shapefile from your disk.

Downloads

91

Readme

Ginkgoch Shapefile

This is a NodeJs library to help to read/write Shapefile from your disk. API Reference.

Feature List

  1. Query records from Shapefile
  2. Append new records into Shapefile
  3. Update a specified record in Shapefile
  4. Remove a record
  5. Create an empty Shapefile by a specified shape type.

Tutorial

Prerequisite

  1. Node.js installed in your machine.
  2. Install ginkgoch-shapefile package.
yarn add ginkgoch-shapefile

Code template for querying

In this section, we are going to operate the Shapefile. Before kick off, we need to open the shapefile in case we have everything prepared. We provide three ways to open the shapefile. Choose either one as you use to.

  1. Regular way
    const statesShp = new Shapefile('./tests/data/USStates.shp');
    statesShp.open();
    
    // put your business logic here.
    
    statesShp.close();
  2. Fluent way to open
    const statesShp = new Shapefile('./tests/data/USStates.shp').open();
    
    // put your business logic here.
    
    statesShp.close();
  3. Callback way to open (auto close when callback complete)
    const statesShp = new Shapefile('./tests/data/USStates.shp').openWith(() => {
        // put your business logic here.
    });

Query Records

In this section, we are going to show you how to iterate shapefile records, get a specific record by id, and how to work with querying filters.

Query record by id

Let's start from a normal case - get record by id.

const statesShp = new Shapefile('./tests/data/USStates.shp').open();
const record = statesShp.get(1); // all ids are started from 1.

| Note: record is a structure formed with geometry and properties.

Get all records

This method fetches all records at once.

const records = statesShp.records();
console.log(records.length);

Iterate records

In previous section, we get all the records at once. It is convenient but it will take much memory usage for sure. Iterator allows to get all features in another way to get records one after another.

const iterator = statesShp.iterator();
let record = undefined;
while ((record = iterator.next()) && !iterator.done) {
    console.log(record);
}

Use filter

We allow to filter the records by following conditions.

  1. from - The start id of the record to fetch. Default is 1.
  2. limit - The limited record count to fetch. Default is Number.Max.
  3. envelope - The envelope structure that all the records within will be fetched. e.g. { minx: -180, miny: -90, maxx: 180, maxy: 90 }.
  4. fields - The fields to fetch from dbf file. Options are:
    • undefined - Not defined, by default, all fields will be fetched.
    • all - Same as undefined.
    • none - Ignore the dbf querying.
    • string[] - A specified field name list to fetch. e.g. ["RECID", "NAME"].

Here is a demo to fetch records from id 10 to 19, properties include RECID and STATE_NAME.

const records = statesShp.records({ from: 10, limit: 10, fields: ['RECID', 'STATE_NAME'] });

Code template for editing

Before appending new record, we need to do a little change before opening the Shapefile. Specify the file flag to 'rs+' or whatever flags to allow the file is able to edit.

const shapefile = new Shapefile(filePath, 'rs+');
shapefile.open();

// put your business logic here.

shapefile.close();

Append new record

A record is named as Feature in Ginkgoch. Let's create a feature first. Then push this feature into shapefile instance. Then Done.

const feature = new Feature(new Point(0, 0), { NAME: 'Tokyo', POP: 1.268 });
shapefile.push(feature);

Update a record

Updating a record is similar as appending a new record. The only difference is that, the feature to update requires a valid id.

const feature = new Feature(new Point(0, 0), { NAME: 'Tokyo', POP: 1.268 }, 1 /* the record id to update */);
shapefile.update(feature);

Remove a record

Specify an id to delete.

shapefile.remove(1); // remove the record whose id is 1.

Create new shapefile

To create a new shapefile, we need to prepare the following factors.

  1. The new shapefile path to store.
  2. The shape type to contain inside. Options are: point, polyLine, polygon and multiPoint.
  3. The fields info.
const fields = new Array<DbfField>();
fields.push(new DbfField('RECID', DbfFieldType.number));
fields.push(new DbfField('NAME', DbfFieldType.character, 10));

const shapefile = Shapefile.createEmpty(filePath, ShapefileType.point, fields);
// here the shapefile instance is created with flag 'rs+'. Call open() method to continue appending new records.

Issues

Contact [email protected] or submit an issue.