Book Image

GeoServer Beginner's Guide - Second Edition

By : Stefano Iacovella
Book Image

GeoServer Beginner's Guide - Second Edition

By: Stefano Iacovella

Overview of this book

GeoServer is an opensource server written in Java that allows users to share, process, and edit geospatial data. This book will guide you through the new features and improvements of GeoServer and will help you get started with it. GeoServer Beginner's Guide gives you the impetus to build custom maps using your data without the need for costly commercial software licenses and restrictions. Even if you do not have prior GIS knowledge, you will be able to make interactive maps after reading this book. You will install GeoServer, access your data from a database, and apply style points, lines, polygons, and labels to impress site visitors with real-time maps. Then you follow a step-by-step guide that installs GeoServer in minutes. You will explore the web-based administrative interface to connect to backend data stores such as PostGIS, and Oracle. Going ahead, you can display your data on web-based interactive maps, use style lines, points, polygons, and embed images to visualize this data for your web visitors. You will walk away from this book with a working application ready for production. After reading GeoServer Beginner's Guide, you will be able to build beautiful custom maps on your website using your geospatial data.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Thematic mapping


Very simple maps may be well-defined with just one symbol per layer, but this is not the case for the vast majority of maps you can find, nor for what you will create with your GeoServer. To fully express the meaning of features, you need to apply a symbology that can make it easy to recognize different real features on a map. Think of the road layer containing North America's roads--a map where interstates have a different symbol to intrastate roads, or where the federal road is much more readable. Countries symbolized according to their GDP can be mapped as the richest area of the world.

There are many different kinds of thematic maps. One of the most common is the choropleth map; we talked about it in Chapter 1, GIS Fundamentals.

Of course, SLD can be used to build choropleth maps; you just have to define a classification rule and a symbol for each class.

Classifying roads

The roads dataset provided by Natural Earth has some attributes that can be used to classify roads....