Acknowledgements

CPT uses version 3.11.0 of LAPACK for the singular value decomposition used in the CCA, PCR, and MLR algorithms, including in the missing value estimation using multiple nearest neighbours.

Algorithm AS 27 by G. A. R. Taylor (1970) Applied Statistics , 19(1), 113-114, is used to calculate upper-tail areas under the Student's t-distribution.

Algorithm AS 91 by D. J. Best and D. E. Roberts (1975) Applied Statistics , 24(3), 385-388, and Algorithm AS R85 by B. L. Shea (1991) Applied Statistics , 40(1), 233-235, are used to calculate the deviate corresponding to a given lower-tail area of the chi-squared distribution.

Algorithm AS 239 by B. L. Shea (1988) Applied Statistics , 37(3), 466-473, is used to calculate the lower-tail area corresponding to a gamma deviate.

Algorithm AS 241 by M. J. Wichura (1988) Applied Statistics , 37(3), 477-484, is used to calculate the deviate corresponding to a given lower tail area of the normal distribution.

Algorithm ACM 396 by G. W. Hill (1970) Communications of the ACM (Association for Computing Machinery) , 13(10), 617-619, is used to calculate positive quantiles of the Student's t-distribution.

The procedure for estimating the gamma distribution parameters is derived from A note on the gamma distribution by H. C. S. Thom (1958) Monthly Weather Review , 86, 117-122.

The sorting algorithm is based on Quicksort by C. A. Hoare (1962) The Computer Journal , 5, 10-16.

The country borders, coastlines, lakes and inland seas are extracted from the Environmental Systems Research Institute (ESRI) ArcWorld dataset.

Substantial input on the design of the software was provided by Nachiketa Acharya, Glenroy Brown, Andrew W. Colman, Richard J. Graham, Kyle Hall, Aaron Kaplan, Igor Khomayakov, Theodore Marguerite, Cédric van Meerbeeck, Ousmane Ndiaye, Andrew W. Robertson, and Jeffrey P. Turmelle.

Translations were provided by Walter Baethgen, Jean-Pierre Céron, Katia Fernandes, Luis Alfonso López, Gilma Mantilla, Ángel Muñoz, Juan-Jose Nieto, Andrei Rachko, Cristina Recalde, and Reinaldo Silveira.

Assistance with the construction of the URLs for the data downloads from the IRI Data Library was provided by Michael Bell.

These Help Pages were written with the assistance of Ashley Curtis, Amy Lafferty, and Jeffrey P. Turmelle.

Work to develop the CPT has been supported financially in part by:

  • The National Oceanic and Atmospheric Administration (NOAA)
  • The Strengthening Disaster and Climate Resilience in the Eastern and Southern Caribbean (SDCR) Project, made possible by the generous support of the American people through the United States Agency for International Development (USAID)
  • Other projects made possible through the United States Agency for International Development (USAID)
  • Intra-ACP GCCA+ Programme in the Caribbean: Enhancing Climate Resilience in CARIFORUM Countries, funded by the European Union
  • The Department for International Development (DfID)
  • National Research Foundation of South Africa
  • Columbia University
  • Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA)

    AICCRA is a project that helps deliver a climate-smart African future driven by science and innovation in agriculture. It is led by the Alliance of Bioversity International and CIAT and supported by a grant from the International Development Association (IDA) of the World Bank.

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