Tile-Based Geospatial Information Systems: Principles and by John T. Sample

By John T. Sample

Tile-based on-line mapping platforms have changed conventional internet GIS platforms, as a result of their enhanced velocity and usefulness. the fashion in the direction of tile-base structures was once began via net prone businesses, equivalent to Google, Yahoo, and Microsoft. they've been through the conventional GIS neighborhood, executive businesses and open resource improvement groups, simply because tile dependent structures yield swifter and paintings enhanced with 3-D mapping tools.

Tile-Based Geospatial details platforms: ideas and Practices provides a close exam of the rules of tile-based structures. themes contain discussions of projections, coordinate structures, snapshot processing, information basing and indexing standards and net entry. cognizance is dedicated to knowing and improvement of algorithms had to make tile-based platforms useful and effective. as well as the theoretical exam of the subject, this ebook comprises distinct functional content material worthy to these charged with implementation of tile-based structures. Case experiences are supplied within the final 2 chapters of this book.

Tile-Based Geospatial info platforms: ideas and Practices is designed for a qualified viewers composed of researchers, practitioners and executive staff, targeting geographic info structures and net applied sciences and snapshot processing concepts with regards to GIS. This publication can also be compatible for advanced-level scholars in laptop technology and geography as a secondary textual content or reference book.

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In this case, each increase in level squares the number of pixels used to represent the entire Earth. A map client that uses discrete scales will allow the user to choose only the levels made available by the data. To calculate which tiles to retrieve, the client need only know the current zoom level, the tile index of the origin of the map view, and the number of tiles required to fill the map view. Notice that the map client need not know the geographic area of the map view. When the map client allows only discrete zoom levels, the state of the map may be stored using only a tile-based coordinate system rather than geographic one.

This is a practical consideration that must be made in the context of specific programming environments. Java, C, and many others store array data in row-major format . Iterating in this fashion can potentially greatly improve the performance of the algorithm due to the principle of Locality of Reference. 4 Simple Image Scaling: source and target images have the same geographic coordinates but different sizes. 1 for j in xrange ( t a r g e t h e i g h t ) : 2 for i in xrange ( t a r g e t w i d t h ) : 3 ( t x , t y ) = g e o l o c a t e ( t m i n x , t m i n y , tmaxx , tmaxy , i , j , t a r g e t w i d t h , target height ) 4 v a l = i n t e r p o l a t e ( s , sminx , sminy , smaxx , smaxy , s o u r c e w i d t h , s o u r c e h e i g h t , tx , t y ) 5 t [ j ] [ i ] = val Source Image smaxx, smaxy Target Image sminx, sminy Fig.

Both are open source. NET version is a full application, whereas the Java version is an SDK, intended for use in building custom map clients. Adding support for custom tile schemes is fairly simple in either. 8 Example Python map client which uses discrete zoom levels. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 import import import import Tkinter Image , ImageTk urllib2 cStringIO # r e q u i r e s t h e P y t h o n Im a g i n g L i b r a r y be i n s t a l l e d c l a s s SimpleNetworkTileSource : ’’’ This i s a simple t i l e data source c l a s s to a b s t r a c t the t i l e r e t r i e v a l p r o c e s s f r o m t h e r e s t o f t h e c l i e n t .

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