Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State

Adenomon Monday Osagie; Evans Patience Ogheneofejiro

doi:doi:10.11648/j.ijae.20160103.12

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Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State

Adenomon Monday Osagie, Evans Patience Ogheneofejiro

Published in International Journal of Agricultural Economics (Volume 1, Issue 3)

Received: 25 July 2016 Accepted: 5 August 2016 Published: 21 August 2016

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Abstract

Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.

Published in	International Journal of Agricultural Economics (Volume 1, Issue 3)
DOI	10.11648/j.ijae.20160103.12
Page(s)	62-66
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Cross Correlation (CC), Relationship, Maximum Temperature, Relative Humidity

References

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Adenomon Monday Osagie, Evans Patience Ogheneofejiro. (2016). Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. International Journal of Agricultural Economics, 1(3), 62-66. https://doi.org/10.11648/j.ijae.20160103.12

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ACS Style

Adenomon Monday Osagie; Evans Patience Ogheneofejiro. Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. Int. J. Agric. Econ. 2016, 1(3), 62-66. doi: 10.11648/j.ijae.20160103.12

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AMA Style

Adenomon Monday Osagie, Evans Patience Ogheneofejiro. Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. Int J Agric Econ. 2016;1(3):62-66. doi: 10.11648/j.ijae.20160103.12

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@article{10.11648/j.ijae.20160103.12,
  author = {Adenomon Monday Osagie and Evans Patience Ogheneofejiro},
  title = {Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State},
  journal = {International Journal of Agricultural Economics},
  volume = {1},
  number = {3},
  pages = {62-66},
  doi = {10.11648/j.ijae.20160103.12},
  url = {https://doi.org/10.11648/j.ijae.20160103.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20160103.12},
  abstract = {Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State
AU  - Adenomon Monday Osagie
AU  - Evans Patience Ogheneofejiro
Y1  - 2016/08/21
PY  - 2016
N1  - https://doi.org/10.11648/j.ijae.20160103.12
DO  - 10.11648/j.ijae.20160103.12
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 62
EP  - 66
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20160103.12
AB  - Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.
VL  - 1
IS  - 3
ER  -

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Author Information

Adenomon Monday Osagie

Department of Mathematics and Statistics, the Federal Polytechnic, Bida, Nigeria
Evans Patience Ogheneofejiro

Department of Mathematics and Statistics, the Federal Polytechnic, Bida, Nigeria

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APA Style

Adenomon Monday Osagie, Evans Patience Ogheneofejiro. (2016). Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. International Journal of Agricultural Economics, 1(3), 62-66. https://doi.org/10.11648/j.ijae.20160103.12

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ACS Style

Adenomon Monday Osagie; Evans Patience Ogheneofejiro. Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. Int. J. Agric. Econ. 2016, 1(3), 62-66. doi: 10.11648/j.ijae.20160103.12

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AMA Style

Adenomon Monday Osagie, Evans Patience Ogheneofejiro. Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State. Int J Agric Econ. 2016;1(3):62-66. doi: 10.11648/j.ijae.20160103.12

Copy | Download

@article{10.11648/j.ijae.20160103.12,
  author = {Adenomon Monday Osagie and Evans Patience Ogheneofejiro},
  title = {Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State},
  journal = {International Journal of Agricultural Economics},
  volume = {1},
  number = {3},
  pages = {62-66},
  doi = {10.11648/j.ijae.20160103.12},
  url = {https://doi.org/10.11648/j.ijae.20160103.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20160103.12},
  abstract = {Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Cross Correlation Analysis on the Relationship Between Maximum Temperature and Relative Humidity in Bida, Niger State
AU  - Adenomon Monday Osagie
AU  - Evans Patience Ogheneofejiro
Y1  - 2016/08/21
PY  - 2016
N1  - https://doi.org/10.11648/j.ijae.20160103.12
DO  - 10.11648/j.ijae.20160103.12
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 62
EP  - 66
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20160103.12
AB  - Cross Correlation (CC) analysis provide a correlation between two time series. The observations of one series are correlated with the observations of another series at various lags and leads. CC analysis also help in identifying variables which are leading indicators of other variables or how much one variable is predicted to change in relation of the other variable. In this paper we attempt study the relationship between monthly maximum temperature and relative humidity in Bida, Niger state from 1981 to 2012 collected from the NCRI, Baddegi. The results revealed that there is a negative relationship between Temperature and relative humidity in Bida. Also negative relationship is revealed at lag 0, positive lags of 1, 2, 9, 10, 11, 12 and 13 while for negative lags of 1, 2, 3, 10, 11, 12, and 13. We recommended that our work will be helpful to farmers, statisticians and to Agricultural Economist and Econometrician to understand the interrelationship between these variables and to take appropriate action or caution.
VL  - 1
IS  - 3
ER  -

Copy | Download