Spatio-temporal patterns in climate and hydrologic features

Data mining is the process of extracting non-trivial patterns from large amount of data. In recent decades we found the most diversity in every area and region of ecology and climate. As days go by, we are getting towards the destruction of our water system and for this reason in the upcoming years we might face the problem of lacking water. Not only the population and its disruption could cause this problem but also the climate change could hamper our water system, flow of water level and mineral contents. We have used previous 5 years data to calculate where and when the water level changes. We also try to identify the reasons for that. We use spatio-temporal data mining technique on the era of hydrology. We have used the BCA - Bangladesh Country Almanac - data set to analyze the spatial and temporal variability characteristics of temperature.