An application of circular-linear correlation analysis to the relationship between Freon concentration and wind direction in Woods Hole, Massachusetts

1988 ◽  
Vol 10 (3) ◽  
pp. 219-228 ◽  
Author(s):  
Andrew R. Solow ◽  
John L. Bullister ◽  
Cynthia Nevison
Keyword(s):  
Correlation Analysis ◽  
Linear Correlation ◽  
Wind Direction ◽  
Linear Correlation Analysis ◽  
The Relationship

Study on the Relationship between Population Density of Noctiluca scintillans and Environmental Factors in the Coastal Waters of Qinhuangdao

2014 ◽  
Vol 1010-1012 ◽  
pp. 635-638
Author(s):  
Yan Juan Xi ◽  
Zhen Liang Zhao ◽  
Chun Long Zhao ◽  
Yan Qin Xi ◽  
Li Yan ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Population Density ◽  
Correlation Analysis ◽  
Dissolved Oxygen ◽  
Linear Correlation ◽  
Coastal Waters ◽  
Ammonia Nitrogen ◽  
Noctiluca Scintillans ◽  
Nitrite Nitrate ◽  
The Relationship

Based on the environmental survey data in off-shore of Qin Huangdao from May to June 2011,correlation analysis was made between population density of Noctiluca scintillans and environmental factors. The results indicates that population density of Noctiluca scintillans does not exist linear correlation with nitrite, nitrate, ammonia, nitrogen, phosphate,dissolved oxygen and PH ,it is positive correlation with temperature and silicate noctiluca and negatively correlation with transparency and salinity.

Multiple Linear Correlation Analysis of Daily Reference Evapotranspiration

2013 ◽  
Vol 27 (5) ◽  
pp. 1489-1500 ◽  
Author(s):  
Mallikarjuna Perugu ◽  
Aruna Jyothy Singam ◽  
Chandra Sekhar Reddy Kamasani
Keyword(s):  
Correlation Analysis ◽  
Linear Correlation ◽  
Reference Evapotranspiration ◽  
Linear Correlation Analysis

scholarly journals Non-linear functional brain co-activations in short-term memory distortion tasks

2021 ◽  
Author(s):  
Anna Ceglarek ◽  
Jeremi K. Ochab ◽  
Ignacio Cifre ◽  
Magdalena Fąfrowicz ◽  
Barbara Sikora-Wachowicz ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Cognitive Performance ◽  
Linear Correlation ◽  
Short Term Memory ◽  
Time Of Day ◽  
Short Term ◽  
Term Memory ◽  
Non Linear ◽  
Linear Correlation Analysis ◽  
Linear Correlations

AbstractRecent works shed light on the neural correlates of true and false recognition and the influence of time of day on cognitive performance. The current study aimed to investigate the modulation of the false memory formation by the time of day using a non-linear correlation analysis originally designed for fMRI resting-state data. Fifty-four young and healthy participants (32 females, mean age: 24.17 y.o., SD: 3.56 y.o.) performed in MR scanner the modified Deese-Roediger-McDermott paradigm in short-term memory during one session in the morning and another in the evening. Subjects’ responses were modeled with a general linear model, which includes as a predictor the non-linear correlations of regional BOLD activity with the stimuli, separately for encoding and retrieval phases. The results show the dependence of the non-linear correlations measures with the time of day and the type of the probe. In addition, the results indicate differences in the correlations measures with hippocampal regions between positive and lure probes. Besides confirming previous results on the influence of time-of-day on cognitive performance, the study demonstrates the effectiveness of the non-linear correlation analysis method for the characterization of fMRI task paradigms.

Weather factors affecting the development of maize from sowing to flowering

1972 ◽  
Vol 78 (2) ◽  
pp. 325-331 ◽  
Author(s):  
M. N. Hough
Keyword(s):  
Soil Moisture ◽  
Correlation Analysis ◽  
Linear Correlation ◽  
Weather Conditions ◽  
Weather Data ◽  
Weather Factors ◽  
Mean Values ◽  
Rate Of Development ◽  
Linear Correlation Analysis ◽  
The Mean

SUMMARYThe phenological development from sowing to flowering of the eaxly maize hybrid INRA 200 is related to the weather conditions. Plot trial data from Wytham, near Oxford, England, and weather information from that and nearby sites formed the basic data.The mean rate of development per day from sowing to emergence is related by linear correlation analysis to the mean values of soil temperature at 5 cm depth and soil moisture deficit. A range of temperature thresholds for emergence development exist, which depend upon the soil moisture, and which differ from the true physiological threshold.Between omergence and flowering the mean rate of development per day is related by linear correlation analysis to mean air temperature, solar radiation and potential transpiration estimated from weather data. All correlations are significant, but the parameters which combine radiation and temperature are statistically better.

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