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TEMPERATURE AND TIME SERIES ANALYSIS
(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; P, Rashmi
Climate change is one of the biggest environmental problems for many countries. It is also a big threat to food, production, water sources, forest and living environment. It results in climatic changes. More change in climate is being done on climate indices such as rainfall, temperature and so on. Auto Regressive Integrated Moving Average models have been grouped and used to perform short-term predictions on maximum and minimum temperatures. This study aims to find the temperature and time series in Curitiba.
TEMPERATURE AND TIME SERIES ANALYSIS USING K-MEANS
(Journal of The Gujarat Research Society, 2019-12) M, Rajeshwari; K, Harini
This report says about the different whether condition in Brazil. Analysing the highesttemperature of the state. The process of analysing the temperature and time series of variousprocess of comparing the state from January to December and also the comparison of the first three months to March, April to June, July to September, October to December as theyshow the temperatures that are registered under those three months periods are incrediblyincreased and decreases, they have increased gradually from month to month or they have decreased from month they are not finite as they increase in one month and decrease in one month . The analysis are made through clustering and the simple k- means.