Abstract

The concern about rising global temperatures is powerful in its effect on the tourism economy sector in the top 5 tourist attractions in Thailand. This study aimed to find techniques for using automatic big data RSS feed that is accessible online in mobile push notification and is freely available on the Internet. The programming technique method was applied for data acquisition, statistical process, and mathematical analysis. The outcomes pointed to a lack of study temperature changes on the local scale that provides insufficient information for decision making about tourism management in the local region. The results in this local level study tended to express decreasing temperature. This is not usually consistent with the IPCC scientific consensus summarization. This result could be involved with geography location and monsoon condition control. The temperatures did not have a significant effect on increase in the number of storms in the West Pacific Ocean. Sea surface temperature results were in agreement with global scale studies.