Book Image

Google Maps JavaScript API Cookbook

Book Image

Google Maps JavaScript API Cookbook

Overview of this book

Day by day, the use of location data is becoming more and more popular, and Google is one of the main game changers in this area. The Google Maps JavaScript API is one of the most functional and robust mapping APIs used among Geo developers. With Google Maps, you can build location-based apps, maps for mobile apps, visualize geospatial data, and customize your own maps.Google Maps JavaScript API Cookbook is a practical, hands-on guide that provides you with a number of clear, step-by-step recipes that will help you to unleash the capabilities of the Google Maps JavaScript API in conjunction with open source or commercial GIS servers and services through a number of practical examples of real world scenarios. This book begins by covering the essentials of including simple maps for Web and mobile, adding vector and raster layers, styling your own base maps, creating your own controls and responding to events, and including your own events.You will learn how to integrate open source or commercial GIS servers and services including ArcGIS Server, GeoServer, CartoDB, Fusion Tables, and Google Maps Engine with the Google Maps JavaScript API. You will also extend the Google Maps JavaScript API to push its capabilities to the limit with additional libraries and services including geometry, AdSense, geocoding, directions, and StreetView.This book covers everything you need to know about creating a web map or GIS applications using the Google Maps JavaScript API on multiple platforms.
Table of Contents (15 chapters)
Google Maps JavaScript API Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Creating a heat map


The Google Maps API lays the foundation for several map-based analysis, including heat maps. A heat map is a form of visualization that shows the concentration of points through gradient color scales.

Points, in this respect, may be the representation of any geographically represented items such as hospitals, houses, schools, measured values of sea pollution tagged with coordinates, the location of waste collection bins, and so on. The list is practically infinite.

Heat maps are very important inputs for geostatistics. In a map display, you capture the intensity in a moment compared to the sole display of the locations of points:

The preceding screenshot depicts the location of the OpenStreetMap points layer in İstanbul, Turkey, as of July. You might just get an idea of where the concentration of points is from the preceding screenshot, but the following screenshot shows it more clearly. The most intensely concentrated locations are colored in red, whereas lesser concentrated...