References
This webpage contents a list of the documents and other sources referenced without this website. In the case that internet URLs no longer functional then please contact the author.
In addition to internally referencing source, this webpage contains links to the relevant external websites. Any material used within this website is referenced below:
Bohling, G., 2005. Lecture Notes: Kriging, Kansas: University of Kansas.
Burnett, D. J., 2012. Climate Change and Renewable Energy Portfolios, Edinburgh: The University of Edinburgh.
Burrough, P. A. & McDonnell, R. A., 1998. In: Principles of Geographical Information Systems. Oxford: Oxford University Press,
p. 333.
Cros, S., Mayor, D. & Wald, L., 2004. The Availability of Irradiation Data. Sophia Antipolis: IEA PVPS.
Cano, D. et al., 1986. A method for the determination of the global solar radiation from meteorological satellite data. Solar,
Volume 37, pp. 31-39.
European Commission, 2005. The Renewable Energies Unit Activities Report, Italy: European Commission.
Garg, H. P. & Garg, S. N., 1993. Measurement of Solar Radiation I: Radiation Instruments. Renewable Energy, 3(4), pp. 321-333.
Goovaerts, P., 2000. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of
Hydrology, Volume 228, pp. 113-129.Isaaks, E. H. & Srivastava, R. M., 1989. In: An Introduction to Applied Geostatistics. Oxford: Oxford University Press, p. 561.
Kaplanis, S. N., 2005. New methodologies to estimate the hourly global solar radiation; Comparisons with existing models.
Renewable Energy, 31(6), pp. 781-790.
Kravchenko, A. N., 2003. Influence of Spatial Structure on Accuracy of Interpolation Methods. Soil Science Society of America
Journal, 67(5), pp. 1564-1574.
Lam, N. S., 1983. Spatial Interpolation Methods: A Review. The American Cartographer, Volume 10, pp. 129-149.
Lloyd, C. D., 2005. Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great
Britain. Journal of Hydrology, Volume 308, pp. 128-150.
Longley, P. A., Goodchild, M. F., Maguire, D. J. & Rhind, D. W., 2001. In: Geographic Information Systems and Science.
Chichester: Wiley, p. 454.
Lu, G. & Wong, D., 2008. An adaptive inverse-distance weighting spatial interpolation technique. Computer & Geosciences,
Volume 34, pp. 1044-1055.
Lydolph, P. E., 1985. In: The Climate of the Earth. Lanham: Rowman & Littlefield Publishers, Inc., p. 24.
Matlab, 2010. Matlab Web Service Tutorial. [Online]
Available at: http://his.cuahsi.org/matlabtutorial.html
[Accessed 14 02 2013].
McCracken, D. A., 2011. Synthetic High Resolution Solar Data, Glasgow: University of Strathclyde.
Met Office, 2012. Solar Energy. [Online]
Available at: http://www.metoffice.gov.uk/renewables/solar
[Accessed 06 03 2013].
Meteonorm, 2012. Measurement stations. [Online]
Available at: http://meteonorm.com/products/meteonorm/stations/
[Accessed 24 10 2012].
Mubiru, J. et al., 2006. Interpolation methods for solar radiation in Uganda, s.l.: Springer-Verlag.
Neuwirth, F., 1980. The estimation of global and sky radiation in Austria. Solar Energy, p. 241.
Rehman, S. & Ghori, S. G., 2000. Spatial estimation of global solar radiation using geostatistics. Renewable Energy , Volume
21, pp. 583-605.
Rhodes, C. J., 2010. Solar Energy: principles and possibilities. Science Progress, Volume 93, pp. 37-112(76).
Suckling, P. W.,1983. Extrapolation of Solar Radiation Measurements: Mesoscale Analyses from Arizona and Tennessee Valley
Authority Regions. Applied Meteorology, 22(3), pp. 488-494.
Suehrcke, H., 2000. On the relationship between duration of shine and solar radiation on the earth's surface: Ångström’s
equation revisited. Solar Energy, 68(5), pp. 417-425.
Šúri, M. et al., 2008. First Steps in the Cross-Comparison of Solar Resource Spatial Products in Europe. EUROSUN 2008, 1st
Internation Conference on Solar Heating, Cooling and Buildings.
Vincenty, T., 1975. Direct and Inverse Solutions of Geodesics on Ellipsoid with application of nested equations. Survey
Review XXIII (misprinted as XXII) (176), pp. 88-93.
Watson, D. F. & Philip, G. M., 1985. A refinement of inverse distance weighted interpolation. Geo-Processing, pp. 315-327.
In addition to internally referencing source, this webpage contains links to the relevant external websites. Any material used within this website is referenced below:
Bohling, G., 2005. Lecture Notes: Kriging, Kansas: University of Kansas.
Burnett, D. J., 2012. Climate Change and Renewable Energy Portfolios, Edinburgh: The University of Edinburgh.
Burrough, P. A. & McDonnell, R. A., 1998. In: Principles of Geographical Information Systems. Oxford: Oxford University Press,
p. 333.
Cros, S., Mayor, D. & Wald, L., 2004. The Availability of Irradiation Data. Sophia Antipolis: IEA PVPS.
Cano, D. et al., 1986. A method for the determination of the global solar radiation from meteorological satellite data. Solar,
Volume 37, pp. 31-39.
European Commission, 2005. The Renewable Energies Unit Activities Report, Italy: European Commission.
Garg, H. P. & Garg, S. N., 1993. Measurement of Solar Radiation I: Radiation Instruments. Renewable Energy, 3(4), pp. 321-333.
Goovaerts, P., 2000. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of
Hydrology, Volume 228, pp. 113-129.Isaaks, E. H. & Srivastava, R. M., 1989. In: An Introduction to Applied Geostatistics. Oxford: Oxford University Press, p. 561.
Kaplanis, S. N., 2005. New methodologies to estimate the hourly global solar radiation; Comparisons with existing models.
Renewable Energy, 31(6), pp. 781-790.
Kravchenko, A. N., 2003. Influence of Spatial Structure on Accuracy of Interpolation Methods. Soil Science Society of America
Journal, 67(5), pp. 1564-1574.
Lam, N. S., 1983. Spatial Interpolation Methods: A Review. The American Cartographer, Volume 10, pp. 129-149.
Lloyd, C. D., 2005. Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great
Britain. Journal of Hydrology, Volume 308, pp. 128-150.
Longley, P. A., Goodchild, M. F., Maguire, D. J. & Rhind, D. W., 2001. In: Geographic Information Systems and Science.
Chichester: Wiley, p. 454.
Lu, G. & Wong, D., 2008. An adaptive inverse-distance weighting spatial interpolation technique. Computer & Geosciences,
Volume 34, pp. 1044-1055.
Lydolph, P. E., 1985. In: The Climate of the Earth. Lanham: Rowman & Littlefield Publishers, Inc., p. 24.
Matlab, 2010. Matlab Web Service Tutorial. [Online]
Available at: http://his.cuahsi.org/matlabtutorial.html
[Accessed 14 02 2013].
McCracken, D. A., 2011. Synthetic High Resolution Solar Data, Glasgow: University of Strathclyde.
Met Office, 2012. Solar Energy. [Online]
Available at: http://www.metoffice.gov.uk/renewables/solar
[Accessed 06 03 2013].
Meteonorm, 2012. Measurement stations. [Online]
Available at: http://meteonorm.com/products/meteonorm/stations/
[Accessed 24 10 2012].
Mubiru, J. et al., 2006. Interpolation methods for solar radiation in Uganda, s.l.: Springer-Verlag.
Neuwirth, F., 1980. The estimation of global and sky radiation in Austria. Solar Energy, p. 241.
Rehman, S. & Ghori, S. G., 2000. Spatial estimation of global solar radiation using geostatistics. Renewable Energy , Volume
21, pp. 583-605.
Rhodes, C. J., 2010. Solar Energy: principles and possibilities. Science Progress, Volume 93, pp. 37-112(76).
Suckling, P. W.,1983. Extrapolation of Solar Radiation Measurements: Mesoscale Analyses from Arizona and Tennessee Valley
Authority Regions. Applied Meteorology, 22(3), pp. 488-494.
Suehrcke, H., 2000. On the relationship between duration of shine and solar radiation on the earth's surface: Ångström’s
equation revisited. Solar Energy, 68(5), pp. 417-425.
Šúri, M. et al., 2008. First Steps in the Cross-Comparison of Solar Resource Spatial Products in Europe. EUROSUN 2008, 1st
Internation Conference on Solar Heating, Cooling and Buildings.
Vincenty, T., 1975. Direct and Inverse Solutions of Geodesics on Ellipsoid with application of nested equations. Survey
Review XXIII (misprinted as XXII) (176), pp. 88-93.
Watson, D. F. & Philip, G. M., 1985. A refinement of inverse distance weighted interpolation. Geo-Processing, pp. 315-327.
Graham Cairns
University of Edinburgh, 2013
University of Edinburgh, 2013