Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

December 6, 2023


Pages


DOI

Article

Three-dimensional visualization and analysis of marketing data based on GIS information technology

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Authors

Zhenhai Yu Affiliation:
China Telecommunications Co., Ltd., Shandong Branch, Jining, Shandong, 250098, China.


Abstract

This paper explores the GIS spatial analysis technique, which models the data as a whole and performs three-dimensional coordinate transformations, maps points in one coordinate system to another, and then establishes slice maps according to the slice resolution and visualizes and analyzes the data. This paper analyzes the spatial evolution characteristics of product A’s marketing dominance, time domain and geographical concern based on the GIS analysis model and compares the traditional method with the GIS spatial analysis method to analyze the market influence of using GIS marketing in order to highlight the advantages of the GIS analysis method in product marketing and data analysis. The results show that the annual contribution rates of the differences in product A attention between regions from 2013 to 2018 are 36.46%, 40.85%, 46.68%, 48.89%, 43.62%, and 44.21%, with an average value of 45%. The influence analysis efficiency of the GIS analysis method is more than 4.4, whereas that of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0, indicating that the influence analysis efficiency of the GIS analysis method is above 4.4, while the influence analysis efficiency of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0. 4.0, indicating that GIS technology has the absolute advantage for marketing data visualization analysis.


Keywords

GIS information technology, Spatial analytics, Data modeling, Spatial evolution, 3D visualization, 68P05


Citation

Yu, Z. (2023). Three-dimensional visualization and analysis of marketing data based on GIS information technology. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01397
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