Big Data Analytics for Human-Computer Interactions: A New Era of Computation

Data Visualisation and Data Analytics in HCI

Author(s): Kuldeep Singh Kaswan*, Anupam Baliyan*, Jagjit Singh Dhatterwal* and Om Prakash Kaiwartya * .

Pp: 327-346 (20)

DOI: 10.2174/9789815079937123030012

* (Excluding Mailing and Handling)

Abstract

This chapter uses Light Detection and Ranging (LIDAR) technology field data to assess efficient terrain visualization. There are two algorithms for detailed computer rendering. The test results for the productivity of the two these algorithms or techniques are presented in the subsequent sections. In visual-spatial perception, the assessment of the results is ultimately examined. In this chapter, the model then uses the information to select the optimal level of details (LOD) to prevent visible changes in representation. The relationship between computer processing power and mental representation is critical for understanding these cognitive processes.


Keywords: 2D database system, 3D landsat imagery, Blind image quality index, Cloud optimization, Distinct quality management, Differential global positioning system, Electron beam, Hierarchical space segmentation, LiDAR system, Level-on-detail, Peak signal-to-noise ratio, Probabilistic data values, Quad trees, Root mean-square error, Stratified random, Spatial information, Vertex buffer objects.

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