Cover image for Google Maps : power tools for maximizing the API
Google Maps : power tools for maximizing the API
Title:
Google Maps : power tools for maximizing the API
ISBN:
9780071823029
Physical Description:
xx, 444 pages : illustrations, maps ; 23 cm
General Note:
Includes index.
Contents:
Introduction to maps and the Google API -- Designing web pages with embedded maps -- Web page scripting : an introduction to JavaScript -- Advanced JavaScript topics -- Google maps API : the building blocks of mapping applications -- Windows mapping : embedding maps in desktop applications -- Markers : identifying locations on the map -- Feature annotation : drawing shapes on maps -- Interactive drawing : the basics of drawing on Google maps -- Geodesic calculations : the geometry library -- The KML data format : persisting spatial data -- Adding GIS features to mapping applications -- SQL spatial : backend databases for spatial data -- Marker clustering : handling many markers on the map -- Web services : updating maps on the fly -- Map annotation and map generation techniques -- More Google services : the geocoding and direction APIs -- Visualizing large datasets -- Animating items on the map -- Advanced JavaScript animation.
Summary:
Featuring numerous step-by-step examples, this book covers programming the Google Maps API with JavaScript. The reader will learn how to embed maps on Web pages, annotate the embedded maps with data, generate KML files to store and reuse map data, and enable client applications to request spatial data through Web services. The book explains techniques for visualizing masses of data and animating multiple items on the map. Topics covered include: creating map-enabled Web pages with a custom look; learning the JavaScript skills required to exploit the Google Maps API; creating highly interactive interfaces for mapping applications; embedding maps in desktop applications written in .NET; annotating maps with labels, markers, and shapes; understanding geodesic paths and shapes and perform geodesic calculations; storing geographical data in KML format; adding GIS features to mapping applications; storing large sets of geography data in databases and perform advanced spatial queries; using Web services to request spatial data from within your script on demand; automating the generation of standalone Web pages with annotated maps; using Geocoding and Directions APIs; visualizing large data sets using symbols and heatmaps; and animating items on a map.
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