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Spatial Quantitative Analysis of Garlic Price Data Based on ArcGIS Technology

Guojing Wu1, Chao Zhang1,*, Pingzeng Liu1, Wanming Ren2, Yong Zheng2, Feng Guo1, Xiaowei Chen3, Russell Higgs4

College of Information Science and Engineering, Shandong Agricultural University, Tai’an, 271000, China.
Shandong Provincial Agricultural Information Center, Ji’nan, 250013, China.
Shandong Taiping No. 1 Middle School, Juye County, Heze, 274900, China.
School of Mathematics & Statistics University College Dublin (USD), Belfield, Dublin 4, Ireland.

* Corresponding Author: Chao Zhang. Email: .

Computers, Materials & Continua 2019, 58(1), 183-195.


In order to solve the hidden regional relationship among garlic prices, this paper carries out spatial quantitative analysis of garlic price data based on ArcGIS technology. The specific analysis process is to collect prices of garlic market from 2015 to 2017 in different regions of Shandong Province, using the Moran's Index to obtain monthly Moran indicators are positive, so as to analyze the overall positive relationship between garlic prices; then using the geostatistical analysis tool in ArcGIS to draw a spatial distribution Grid diagram, it was found that the price of garlic has a significant geographical agglomeration phenomenon and showed a multi-center distribution trend. The results showed that the agglomeration centers are Jining, Dongying, Qingdao, and Yantai. At the end of the article, according to the research results, constructive suggestions were made for the regulation of garlic price. Using Moran’s Index and geostatistical analysis tools to analyze the data of garlic price, which made up for the lack of position correlation in the traditional analysis methods and more intuitively and effectively reflected the trend of garlic price from low to high from west to east in Shandong Province and showed a pattern of circular distribution.


Cite This Article

G. Wu, C. Zhang, P. Liu, W. Ren, Y. Zheng et al., "Spatial quantitative analysis of garlic price data based on arcgis technology," Computers, Materials & Continua, vol. 58, no.1, pp. 183–195, 2019.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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