Book Image

Practical GIS

Book Image

Practical GIS

Overview of this book

The most commonly used GIS tools automate tasks that were historically done manually—compiling new maps by overlaying one on top of the other or physically cutting maps into pieces representing specific study areas, changing their projection, and getting meaningful results from the various layers by applying mathematical functions and operations. This book is an easy-to-follow guide to use the most matured open source GIS tools for these tasks. We’ll start by setting up the environment for the tools we use in the book. Then you will learn how to work with QGIS in order to generate useful spatial data. You will get to know the basics of queries, data management, and geoprocessing. After that, you will start to practice your knowledge on real-world examples. We will solve various types of geospatial analyses with various methods. We will start with basic GIS problems by imitating the work of an enthusiastic real estate agent, and continue with more advanced, but typical tasks by solving a decision problem. Finally, you will find out how to publish your data (and results) on the web. We will publish our data with QGIS Server and GeoServer, and create a basic web map with the API of the lightweight Leaflet web mapping library.
Table of Contents (22 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
14
Appendix

Summary


In this chapter, we gained some basic but essential understanding about the architecture of the web. We learned how to easily provide spatial data with QGIS Server. We also learned some of the basic principles of GeoServer, and how we can create a starting configuration, which we can later expand by gaining additional experience with the system. We discussed standardized OGC services called OWS, and how they work in practice. We managed to not only add some of our own spatial data to GeoServer and visualize the results, but also see how we can tile them, speeding up the server's response.

In the next chapter, we will learn about styling spatial data in GeoServer. Styling is not only one of the corner points of publishing spatial data, but also a weak point of GeoServer, as it offers way more possibilities than documentation. Creating styles can look cumbersome, fiddling, and way too scary to get into. We will see how we can better understand SLD styling, and what other, more efficient...