Abstract
The problem of visualization of spatial data in two- and three-dimensional mode when working with highly loaded web applications is considered. An approach based on a preliminary analysis of the statistical homogeneity and spatial anisotropy of the corresponding reference points is proposed. The results of preprocessing are the basis for selecting a visualization algorithm that provides the best performance on the client side of the web application, taking into account the response time to receive a large data set from the server side. The results of computational experiments are presented, confirming the effectiveness of the proposed method on the example of a research prototype of a web application for the visualization of geophysical information.
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