Book Image

GeoServer Beginner's Guide

Book Image

GeoServer Beginner's Guide

Overview of this book

GeoServer is an open source server-side software written in Java that allows users to share and edit geospatial data. Designed for interoperability, it publishes data from any major spatial data source using open standards. GeoServer allows you to display your spatial information to the world. Implementing the Web Map Service (WMS) standard, GeoServer can create maps in a variety of output formats. OpenLayers, a free mapping library, is integrated into GeoServer, making map generation quick and easy. GeoServer is built on Geotools, an open source Java GIS toolkit.GeoServer Beginner's Guide gives you a kick start 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, style points, lines, polygons, and labels to impress site visitors with real-time maps.Follow along through a step-by-step guide that installs GeoServer in minutes. Explore the web-based administrative interface to connect to backend data stores such as MySQL, PostGIS, MSSQL, and Oracle. Display your data on web-based interactive maps, style lines, points, polygons, and embed images to visualize this data for your web visitors. Walk away from this book with a working application ready for production.After reading the GeoServer Beginner's Guide, you will have beautiful, custom maps on your website built using your geospatial data.
Table of Contents (20 chapters)
GeoServer Beginner's Guide
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Modeling the real world with raster data


Raster data uses a regular tessellation, defining cells where one or more values are uniform. Usually the cells are square, although this is not a constraint. Raster data is generally used to represent value continuously changing in the space, that is, a field. You can use a regular tessellation to build a digital elevation model of the earth's surface. In the following figure, each cell has a height and width of 20 meters and the value stored is the height over the sea level in meters:

Can you use raster data to model real features like a river? Yes, you can, but there are some drawbacks you have to consider. The following figure shows a linear feature represented as vector data (the red line) and as raster data (the black and white cells). If your purpose is drawing the shapes on a map, raster data is not a good choice as raster graphics are resolution-dependent. They cannot scale up to an arbitrary resolution without the apparent loss of quality.