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GeoServer Cookbook

By : Stefano Iacovella
Book Image

GeoServer Cookbook

By: Stefano Iacovella

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GeoServer Cookbook
Stefano Iacovella
Nov, 2014 | 280 pages
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Table of Contents (17 chapters)
GeoServer Cookbook
GeoServer Cookbook
Credits
Credits
About the Author
About the Author
Acknowledgments
Acknowledgments
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Working with Vectors
Working with Vectors
Introduction
Using different WFS versions in OpenLayers
Using WFS nonspatial filters
Using WFS spatial filters
Using WFS vendor parameters
Filtering data with CQL
Filtering data with CQL spatial operators
Creating a SQL view
Creating a parametric view
Improving performance with pregeneralized features
2
Working with Rasters
Working with Rasters
Introduction
Getting coverages in different formats
Using WCS vendor parameters
Publishing a mosaic
Using pyramids
Adding GDAL formats
Adding a PostGIS raster data source
3
Advanced Styling
Advanced Styling
Introduction
Installing the CSS module
Creating a simple polygon style with CSS
Adding filters to your style
Adding labels with CSS
Creating scale-dependent rules
Rendering transformations for raster data
Creating a dot density chart
4
Geoprocessing
Geoprocessing
Introduction
Installing the WPS module
Using the WPS process builder
Chaining process – selecting features contained in a polygon
Chaining process – building your own task
5
Advanced Configurations
Advanced Configurations
Introduction
Upgrading GeoServer
Creating a script for automatic startup
Optimizing Java
Setting up a JNDI connection pool
Working with CRS
Using the reprojection console
Overriding an official EPSG code
Setting up GeoWebCache – how to make pre-rendered tiles for high availability
Storing configurations in an RDBMS
6
Automating GeoServer Configurations
Automating GeoServer Configurations
Introduction
Managing workspaces with REST
Creating and editing data stores with REST
Managing layers with REST
Uploading and updating styles with REST
Managing layers with the GWC REST API
Managing cache tiles with the GWC REST API
7
Advanced Visualizations
Advanced Visualizations
Introduction
Adding time to WMS maps
Using the WMS animator
Keyhole Markup Language styling
Using z-order creatively
Using transparency creatively
Using symbology encoding
8
Monitoring and Tuning
Monitoring and Tuning
Introduction
Installing the control flow module
Setting a per-user limit
Setting a per-request limit
Installing the monitoring extension
Configuring the monitoring extension
Creating reports from the monitoring database
Limiting the GeoWebCache disk use
OGC for ESRI Professionals
OGC for ESRI Professionals
Introduction
ArcGIS versus GeoServer
Understanding standards
WMS versus the mapping service
WFS versus feature access
Publishing raster data with WCS
Index
Index

Keyhole Markup Language styling

Keyhole Markup Language (KML) is an XML-based language built by Google™ and is mainly used in its desktop mapping product, Google Earth™. It allows the user to virtually view, pan, and fly around the imagery of the Earth.

Playing with imagery can be really nice; if you haven't yet, you should try just wandering on remote areas of the planet and explore areas where once the Here be Dragons label were the most common among labels: (http://en.wikipedia.org/wiki/Here_be_dragons).

However, the program is way more than a videogame and if you add it to your data, it becomes a very powerful and accessible tool for 3D visualization.

How do you make GeoServer and Google Earth™ interoperate? It is here that KML comes to your rescue. Google Earth™ can read and visualize data formatted in KML; on the other hand, GeoServer is capable of responding to your requests on formatting data in KML. Then, every layer published on GeoServer can easily be used in Google Earth.

Getting...

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