Paper Info
Title
Algorithm Visualization in Teaching Spatial Data Algorithms
Abstract
Algorithm visualization is a widely - used tool for teaching data structures and algorithms. Spatial data algorithms are algorithms that are designed to process multidimensional data. This work introduces a spatial data extension to the successful TRAKLA2 learning environment, which includes automatically assessed visual algorithm simulation exercises. First impressions on using the visualizations in teaching are also described.
Year
DOI
Venue
2007
10.1109/IV.2007.21
IV
Keywords
Field
DocType
algorithm visualization,teaching data structure,teaching spatial data algorithms,visual algorithm simulation,multidimensional data,trakla2 learning environment,spatial data extension,spatial data algorithm,computer science education,data structure,teaching,data visualization,multidimensional systems,data visualisation,earth,spatial data,algorithm design and analysis,data structures,process design
Spatial analysis,Data structure,Data visualization,First impression (psychology),Algorithm design,Computer science,Algorithm,Process design,Learning environment,Multidimensional systems
Conference
ISSN
ISBN
Citations 
1550-6037
0-7695-2900-3
2
PageRank 
References 
Authors
0.39
7
2
Name
Order
Citations
PageRank
Jussi Nikander111710.68
Juha Helminen21078.98