Book Image

JavaScript and JSON Essentials - Second Edition

By : Bruno Joseph D'mello, Sai S Sriparasa
Book Image

JavaScript and JSON Essentials - Second Edition

By: Bruno Joseph D'mello, Sai S Sriparasa

Overview of this book

JSON is an established and standard format used to exchange data. This book shows how JSON plays different roles in full web development through examples. By the end of this book, you'll have a new perspective on providing solutions for your applications and handling their complexities. After establishing a strong basic foundation with JSON, you'll learn to build frontend apps by creating a carousel. Next, you'll learn to implement JSON with Angular 5, Node.js, template embedding, and composer.json in PHP. This book will also help you implement Hapi.js (known for its JSON-configurable architecture) for server-side scripting. You'll learn to implement JSON for real-time apps using Kafka, as well as how to implement JSON for a task runner, and for MongoDB BSON storage. The book ends with some case studies on JSON formats to help you sharpen your creativity by exploring futuristic JSON implementations. By the end of the book, you'll be up and running with all the essential features of JSON and JavaScript and able to build fast, scalable, and efficient web applications.
Table of Contents (20 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

GeoJSON – a geospatial JSON data format


GeoJSON is a JSON-based implementation especially designed for the purpose of geospatial data. But wait—what do we mean by geospatial data? Geospatial data is information that represents a region of any space or its geometry.

Consider a random area next door to your house. The shape of the area may be visualized as a square, rectangle, or any other polygon that has specific measurements, and may be located using latitude and longitude coordinates.

GeoJSON was standardized by the Internet Engineering Task Force (IETF) community. GeoJSON provides specifications for all kinds of geographical data. Let's look at the structure of a basic geoJSON:

{
    "type": "Polygon",
    "coordinates": [
        [
            [100,0],
            [101,0],
            [101,1],
            [100,1],
            [100,0]
        ]
    ]
}

In the preceding JSON data, we have two keys. The type represents the geometry type, which refers to seven case-sensitive strings: Point,...