LOCAL POPULATION MAPPING USING A RANDOM FOREST MODEL BASED ON REMOTE AND SOCIAL SENSING DATA: A CASE STUDY IN ZHENGZHOU, CHINA

Local Population Mapping Using a Random Forest Model Based on Remote and Social Sensing Data: A Case Study in Zhengzhou, China

High-resolution gridded population data are important for understanding and responding to many socioeconomic and environmental problems.Local estimates of the population allow officials and researchers to make a better local planning (e.g., optimizing public services and facilities).This study used a random forest algorithm, on the basis of remote

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Exploring Chinese Consumers’ Online Purchase Intentions toward Certified Food Products during the COVID-19 Pandemic

The outbreak of COVID-19 has significantly increased consumers’ demands for campicon.com online groceries, as well as healthy, safe, and better-quality food products.In China, certified food products are commonly perceived as safe and good-quality products.Therefore, this study investigated potential factors that influenced Chinese consumers’ o

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