DocumentCode :
253514
Title :
Algorithm for graph building based on Google Maps and Google Earth
Author :
Toman, J. ; Olszewska, J.I.
Author_Institution :
Univ. of Gloucestershire, Cheltenham, UK
fYear :
2014
fDate :
19-21 Nov. 2014
Firstpage :
55
Lastpage :
60
Abstract :
This paper proposes a graph building algorithm that transforms geo-location data into a network graph, which could be useful for applications involving navigation aids or robotics. At first, our new method takes data from source Keynote Markup Language 2.2 format (KML 2.2) files such as extracted from Google Maps. Then, our algorithm creates a directed, acyclical graph which is displayed and overlayed afterwards in Google Earth. A Java application has been built to implement and test the system based on the graph building algorithm for the analysis of ski piste maps. Testing of the graph, in context of ski resorts, demonstrates that the algorithm is accurate and suitable for use in Geographical Information Systems (GIS). Moreover, the performance of the algorithm has been analysed. It shows that, with the size of the network graphs produced and the available hardware, our algorithm is computationally efficient.
Keywords :
Java; directed graphs; geographic information systems; navigation; GIS; Google Earth; Google Maps; Java application; KML 2.2 files; Keynote Markup Language 2.2 format files; directed acyclical graph; geo-location data transformation; geographical information systems; graph building algorithm; graph testing; navigation aids; network graph size; robotics; ski piste map analysis; ski resort; Algorithm design and analysis; Buildings; Computational intelligence; Earth; Google; Java; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/CINTI.2014.7028728
Filename :
7028728
Link To Document :
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