Overview

JSON

Stacks2.0K

Followers1.6K

Votes9

GeoJSON

Stacks71

Followers60

Votes0

GeoJSON vs JSON: What are the differences?

GeoJSON and JSON are both widely used formats for representing data. While they share similarities, there are key differences between these two formats that are important to understand.

Data Structure: The main difference between GeoJSON and JSON lies in their data structure. JSON is a general-purpose data interchange format that can represent any type of data. On the other hand, GeoJSON is a subset of JSON that is specifically designed for representing geographic data. GeoJSON introduces additional properties and data types to support the representation of geographical features such as points, lines, and polygons.
Geographical Specificity: Another important difference between GeoJSON and JSON is their level of geographical specificity. While JSON can represent any type of data without any geographical context, GeoJSON is specifically designed to store and exchange geographical information. It provides a standardized way to represent geographical features and their properties, making it easier to work with spatial data.
Coordinate System: GeoJSON introduces a standardized coordinate system for representing geographical features. It uses the WGS84 coordinate system, which is commonly used in GPS and mapping applications. This allows for accurate spatial representation and interoperability between different systems that support GeoJSON.
Geometric Shapes: GeoJSON supports the representation of different geometric shapes such as points, lines, and polygons, along with their associated properties. These shapes are defined using coordinates, allowing for precise spatial representation and analysis. JSON, on the other hand, does not have built-in support for representing geometric shapes and requires additional processing to handle spatial data.
Compatibility: While JSON is a widely supported format and can be used with any programming language or framework that supports data interchange, GeoJSON has specific support for geographic data in systems and libraries that are designed for working with spatial data. This makes GeoJSON a more suitable choice for applications that deal with geographic data and require spatial processing capabilities.
Serialization: When it comes to serialization, JSON can be easily serialized and deserialized using standard libraries in most programming languages. GeoJSON, being a subset of JSON, can also be serialized and deserialized using these libraries. However, GeoJSON introduces additional rules and constraints specific to geographic data, which may require specialized libraries or functions for serialization and deserialization.

In summary, GeoJSON expands on JSON with features specifically tailored for geographical data. Choose GeoJSON for precise spatial representation, standardized formats, and seamless integration with spatial data systems. Use JSON for general data exchange whenever geographical specificity is not crucial.

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Advice on JSON, GeoJSON

Dhinesh

architect

Jun 16, 2020

Needs adviceon

JSON

Python

Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?

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Detailed Comparison

JSON	GeoJSON
JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.	It is an open standard format designed for representing simple geographical features, along with their non-spatial attributes. It is based on JSON, the JavaScript Object Notation. The features include points, line strings, polygons, and multi-part collections of these types
-	GeoJSON supports the following geometry types: Point;LineString;Polygon;MultiPoint;MultiLineString;MultiPolygon
Statistics
Stacks 2.0K	Stacks 71
Followers 1.6K	Followers 60
Votes 9	Votes 0
Pros & Cons
Pros 5 Simple 4 Widely supported	No community feedback yet
Integrations
MongoDB PostgreSQL MySQL JavaScript JSON Server JSONlite	JavaScript

What are some alternatives to JSON, GeoJSON?

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.