Visual Analysis of Big Data of Geographical Indications Products in Guangdong Province Based on GIS

In order to solve the problems of large volume, multiple dimensions and difficult analysis in the big data of geographical indication products (litchi, banana, etc.) of Guangdong province, a big data processing and visualization method based on GIS for geographical indication products of Guangdong province was proposed. By constructing GIS technology to pre-process the data of geographical indication products (litchi, banana, etc.) in Guangdong province, the number of data samples and dimensions are reduced; and then through spatio-temporal grid computing and various visualization techniques, the market development situation of geographical indication products (litchi, banana, etc.) is visually displayed. This proposal can achieve fast, interactive and visual big data analysis and mining of litchi, banana and other agricultural products brands, providing technical support for the analysis of geographical indication agricultural products brands in Guangdong province.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/dsit61374.2024.10881561
Primary Topic
Regional Development and Environment
Type
article
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article

Visual Analysis of Big Data of Geographical Indications Products in Guangdong Province Based on GIS

Rongxia Xie, Xiao GuangJiang, Lingyun Zhang
Regional Development and Environment
article

Visual Analysis of Big Data of Geographical Indications Products in Guangdong Province Based on GIS

Rongxia Xie, Xiao GuangJiang, Lingyun Zhang
article en

Abstract

In order to solve the problems of large volume, multiple dimensions and difficult analysis in the big data of geographical indication products (litchi, banana, etc.) of Guangdong province, a big data processing and visualization method based on GIS for geographical indication products of Guangdong province was proposed. By constructing GIS technology to pre-process the data of geographical indication products (litchi, banana, etc.) in Guangdong province, the number of data samples and dimensions are reduced; and then through spatio-temporal grid computing and various visualization techniques, the market development situation of geographical indication products (litchi, banana, etc.) is visually displayed. This proposal can achieve fast, interactive and visual big data analysis and mining of litchi, banana and other agricultural products brands, providing technical support for the analysis of geographical indication agricultural products brands in Guangdong province.

Guangdong Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 55%
Regional Development and Environment
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