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What is GeoJSON? A Beginner-Friendly Guide to Geospatial Data

  • Writer: Anvita Shrivastava
    Anvita Shrivastava
  • 2 hours ago
  • 4 min read

Geospatial data is very important in today's applications, being used in interactive web mapping, navigation systems, urban planning, or environmental monitoring. Developers and GIS specialists make use of certain standards to exchange and visualize this kind of information. GeoJSON is a popular and widely used standard for geospatial data format.


GeoJSON is a light, easy-to-understand format that is used because it is supported by almost every modern GIS platform and mapping library. If you want to create an application based on location, if you want to create interactive maps, or if you need to analyze spatial data, then you really should understand the GeoJSON format well enough.


GeoJSON
GeoJSON

What Is GeoJSON?


GeoJSON is a standardized and open format that defines a specific geometry collection of geographical features along with their properties in JSON (JavaScript Object Notation).


With GeoJSON, one does not have to deal with complex binary formats; it is a simple format of text that is easy to read and understand by people and machines. Since GeoJSON is based on JSON, it works well with all kinds of web technologies like APIs and programming languages.


In GeoJSON, we can represent


  • Points

  • Lines

  • Polygons

  • Multi-geometries

  • Collections of geographical features.


Along with geographical shapes, one can also add extra descriptive data like names, identifiers, classes, population numbers, altitude, and other variables.


Why GeoJSON Is So Popular


GeoJSON has been adopted by many because it has a number of benefits.


Lightweight


GeoJSON is much more readable and simple to modify.


Easy to Read


Being simple text, it can be checked and modified with any text editor available.


Web Compatible


GeoJSON fits very well in the framework that includes JavaScript in the development and does the opposite with traditional GIS formats.


Open Standard


GeoJSON is based on an open standard specification, so it will go without a hitch with any GIS software available in the market.


Cross Platform


GeoJSON has support for lots of tools like:


GeoJSON Structure


A GeoJSON file consists of objects organized using JSON syntax.

The primary components include:


  1. Type


Every GeoJSON object begins with a type property.

Example:

{
  "type": "Point"
}

Common types include:

  • Point

  • MultiPoint

  • LineString

  • MultiLineString

  • Polygon

  • MultiPolygon

  • GeometryCollection

  • Feature

  • FeatureCollection


  1. Coordinates


Coordinates define the location of the geometry.

Example:

{
  "type": "Point",
  "coordinates": [-122.4194, 37.7749]
}

GeoJSON stores coordinates in the following order:

Longitude
Latitude

Not:

Latitude
Longitude

This is one of the most common mistakes beginners make.


  1. Properties


Properties store non-spatial information.

Example:

"properties": {
    "city": "San Francisco",
    "population": 873965
}

These attributes make GeoJSON useful for GIS analysis and thematic mapping.


  1. Features


A Feature combines geometry with its attributes.

Example:

{
  "type": "Feature",
  "geometry": {
      "type": "Point",
      "coordinates": [-122.4194,37.7749]
  },
  "properties": {
      "name": "San Francisco"
  }
}

  1. FeatureCollection


Most GeoJSON datasets are stored as a FeatureCollection.

Example:

{
  "type": "FeatureCollection",
  "features": [
      {
          "type": "Feature",
          ...
      },
      {
          "type": "Feature",
          ...
      }
  ]
}

A FeatureCollection allows multiple geographic features to be stored in a single file.


Coordinate Reference System (CRS)


Modern GeoJSON uses the WGS 84 geographic coordinate system (EPSG:4326) by default.

Coordinates are stored as:

Longitude
Latitude

For example:

[-74.0060, 40.7128]

Earlier versions allowed custom coordinate reference systems, but the current GeoJSON specification recommends using WGS 84.


Advantages of GeoJSON


Several advantages of GeoJSON make it suitable for GIS and web mapping.


Integration Convenience


GeoJSON is supported by many programming languages and applications.


Quick Data Transmission


Because GeoJSON is easy and small in size, it will save bandwidth when compared to many traditional GIS formats.


Good for Developers


Many programming languages support GeoJSON parsing, including:


  • Python

  • JavaScript

  • Java

  • C#

  • Go

  • PHP


Strong Support for Web Mapping


Almost any interactive mapping system can work with GeoJSON.


Some examples are:


  • Leaflet

  • MapLibre

  • Mapbox

  • OpenLayers


Broad Flexibility in Attribute Storage


A GeoJSON object can have unlimited attribute fields without having to change its geometry.


Limitations of GeoJSON


GeoJSON technology is a good tool but has its share of drawbacks.


Large File Sizes


With large data, the processing speed of GeoJSON may go down as GeoJSON is purely text.


FlatGeobuf and GeoPackage might perform better.


No Built-In Topology


GeoJSON is only about independent pieces.


It does not have capabilities to relate the features to each other.


Slower Than Binary Formats


While processing some data in a binary format takes a shorter period.


Limited Compression


GeoJSON data may be large unless GZIP compression is used.


Common GeoJSON Use Cases


GeoJSON technology can be used in various industries.


Numerous industries make use of GeoJSON.


Interactive Web Maps


Markers, streets, areas, and polygons can be displayed on maps.


Navigation Applications


Routes, landmarks, and places can be saved.


Urban planning


Zoning, plots, and facilities can be illustrated.


Environmental monitoring


Forests, rivers, natural habitats, and ecologically protected territories can be presented.


Agriculture


Fields, irrigation, and soil tests can be mapped.


Disaster management


Flood areas, fire zones, evacuation routes, and safety bonuses can be depicted.


Working with GeoJSON in Python


GeoPandas makes it easy to read GeoJSON files.

import geopandas as gpd

gdf = gpd.read_file("roads.geojson")

print(gdf.head())

Saving a GeoDataFrame as GeoJSON is equally simple.

gdf.to_file("roads.geojson", driver="GeoJSON")

Future of GeoJSON


GeoJSON continues filling important roles in spatial technology. When speaking about cloud-based GIS, web maps, or digital twins, to name but a few, one cannot hide that GeoJSON stays the main format for exchanging geodata.


New technologies use GeoJSON to build modern mapping platforms, serverless GIS, or APIs due to its simplicity and compatibility.


GeoJSON has become the de facto standard for geospatial data sharing and visualization. Owing to its lightweight JSON-based structure, it is easy to handle by any GIS developer as well as any other sphere of science where geoinformation is used.


For more information or any questions regarding GeoJSON, please don't hesitate to contact us at:


Email:


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