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Regression Analysis of oceanographic data to find the relationship between the temperature and the salinity of water.

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CalCOFI dataset Regression Analysis

The CalCOFI data set represents the longest (1949-present) and most complete (more than 50,000 sampling stations) time series of oceanographic and larval fish data in the world. It includes abundance data on the larvae of over 250 species of fish; larval length frequency data and egg abundance data on key commercial species; and oceanographic and plankton data. The physical, chemical, and biological data collected at regular time and space intervals quickly became valuable for documenting climatic cycles in the California Current and a range of biological responses to them. CalCOFI research drew world attention to the biological response to the dramatic Pacific-warming event in 1957-58 and introduced the term “El Niño” into the scientific literature.

The California Cooperative Oceanic Fisheries Investigations (CalCOFI) conducts quarterly cruises off southern & central California, collecting a suite of hydrographic and biological data on station and underway. Data collected at depths down to 500 m include: temperature, salinity, oxygen, phosphate, silicate, nitrate and nitrite, chlorophyll, transmissometer, PAR, C14 primary productivity, phytoplankton biodiversity, zooplankton biomass, and zooplankton biodiversity.

This Analysis is done to figure out a relation between the temperature and salinity of water in ocean.The dataset mentioned in the above analysis can be found here at Kaggle.

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Regression Analysis of oceanographic data to find the relationship between the temperature and the salinity of water.

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