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Identification of homogeneous rainfall regions in New South Wales, Australia Cover

Identification of homogeneous rainfall regions in New South Wales, Australia

Open Access
|Jan 2021

References

  1. BOM . 2020. Climate data online. Online at: http://www.bom.gov.au/
  2. Bushmans . 2020. Rainfall by region: NSW. Online at: https://www.bushmantanks.com.au/blog/rainfall-by-region-nsw/
  3. Dikbas, F. , Firat, M. , Koc, A. C. and Gungor, M. 2012. Classification of precipitation series using fuzzy cluster method. Int. J. Climatol. 32 , 15961603. doi:10.1002/joc.2350
  4. Dunham, M. 2003. Data Mining: Introductory and Advanced Topics . Pearson Education (Singapore) Pte, Ltd.
  5. Estivill-Castro, V. and Murray, A. T. 1997. Spatial Clustering for Data Mining with Genetic Algorithms . Queensland University of Technology Australia.
  6. Goyal, M. K. and Gupta, V. 2014. Identification of homogeneous rainfall regimes in Northeast Region of India using fuzzy cluster analysis. Water Resour. Manage. 28 , 44914511. doi:10.1007/s11269-014-0699-7
  7. Hamad-Ameen, J. J. 2008. Cell planning in GSM mobile. WSEAS Trans. Commun. 7 , 393398.
  8. Hussain, I. , Pilz, J. and Spoeck, G. 2011. Homogeneous climate regions in Pakistan. IJGW. 3 , 5566. doi:10.1504/IJGW.2011.038369
  9. Kaufman, L. and Rousseeuw, P. J. 2009. Finding Groups in Data: An Introduction to Cluster Analysis . North America: John Wiley & Sons.
  10. Kerby, A. , Marx, D., Samal, A., and Adamchuck, V. 2007. Spatial clustering using the likelihood function . Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), Omaha, NE: IEEE.
  11. Mandal, S. , Saha, D. , Mahanti, A. and Pendharkar, P. C. 2007. Cell-to-switch level planning in mobile wireless networks for efficient management of radio resources. Omega 35 , 697705. doi:10.1016/j.omega.2005.09.008
  12. Matheron, G. 1963. Principles of geostatistics. Econ. Geol. 58 , 12461266. doi:10.2113/gsecongeo.58.8.1246
  13. Meteorology, B. O. 2020. Stormy weather. Online at: http://www.bom.gov.au/nsw/sevwx/facts/stormy-weather.pdf
  14. Nanopoulos, A., Theodoridis, Y., and Manolopoulos, Y. 2001. C2P: Clustering Based on Closest Pairs . VLDB, Roma, Italy.
  15. Patil, S. and Stieglitz, M. 2011. Hydrologic similarity among catchments under variable flow conditions. Hydrol. Earth Syst. Sci. 15 , 989997. doi:10.5194/hess-15-989-2011
  16. Sadri, S. and Burn, D. 2011. A fuzzy C-means approach for regionalization using a bivariate homogeneity and discordancy approach. J. Hydrol. 401 , 231239. doi:10.1016/j.jhydrol.2011.02.027
  17. Sap, M. N. M. and Awan, A. M. 2005. Finding spatio-temporal patterns in climate data using clustering . International Conference on Cyberworlds (CW'05), Singapore, IEEE.
  18. Satyanarayana, P. and Srinivas, V. 2011. Regionalization of precipitation in data sparse areas using large scale atmospheric variables–A fuzzy clustering approach. J. Hydrol. 405 , 462473. doi:10.1016/j.jhydrol.2011.05.044
  19. Snyder, J. P. 1987. Map Projections–A Working Manual . Washington, D.C: US Government Printing Office.
  20. Soltani, S. and Modarres, R. 2006. Classification of spatio-temporal pattern of rainfall in Iran using a hierarchical and divisive cluster analysis. J. Spat. Hydrol. 6 , 1–12.
  21. Swain, J. B. , Sahoo, M. M. and Patra, K. C. 2016. Homogeneous region determination using linear and nonlinear techniques. Phys. Geogr. 37 , 361384. doi:10.1080/02723646.2016.1211460
  22. Wazneh, H. , Chebana, F. and Ouarda, T. B. M. J. 2013. Depth‐based regional index‐flood model. Water Resour. Res. 49 , 79577972. doi:10.1002/2013WR013523
Language: English
Page range: 1907979 - 1907979
Published on: Jan 1, 2021
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2021 Shahid Khan, Ijaz Hussain, Ataur Rahman, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.