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HIGHER-ORDER SPATIAL CLASSIFICATION USING GOOGLE TRENDS DATA DURING COVID-19
Keywords:
distance, gold price, radius, simulation.DOI:
https://doi.org/10.17654/0972361722052Abstract
The aim of the research is to form the center of a country based on Google Trends data and higher-order spatial classification during COVID-19. The keyword used “gold price” which is translated into the national language that is most widely used by each country. This study uses a radius system to classify the spatial arrangement of each country. The spatial order classifications that have been formed from the G20 countries consist of 1 to 15. The result is that there are 4 simulations that produce the highest spatial arrangement 13, 6 simulations that produce the highest spatial arrangement 14, and 15 highest spatial arrangements that can be formed from 9 simulations. Google Trends data can be an alternative to determine the center of a country other than a capital city and form a spatial high order based on trends during COVID-19.
Received: May 21, 2022
Accepted: June 22, 2022
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