Advances in Environmental Research, volume 10 by Justin A. Daniels

By Justin A. Daniels

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CER price South African CER credits are very sellable, but respondents agree the low and volatile CER price is a definite barrier. This is further compounded by limited understanding of the differences between primary and secondary markets. If the CER price were more consistent, and certain, it would encourage project development. The variability of the market and the uncertainty post 2012 has resulted in the majority of the South African banks not recognising CERs as a probable project cash stream.

2001), Erxleben et al. (2002), Wong (2004), Lindley and Walsh (2005), Lubos et al. (2006), Murphy et al. (2010) White et al. (1997), Duc et al. (2000), Foster and Evans (2008), Manthena et al. (2009) Wharton (1993), Luo et al. (2008) Journel and Huijbregts (1978), Pardo-Iguzquiza (1998), Chegini et al. (2001), Erxleben et al. (2002), Richmond (2003), Jie and Jia (2004), Saby et al. (2006), Liu et al. (2006), Kumar et al. (2007), Manthena et al. (2009), Murphy et al. (2010) Pardo-Iguzquiza (1998), Erxleben et al.

Nearest Neighbor methods have the advantage that they are easy to implement and might prove effective if the training data is large. There are several serious disadvantages of the Nearest Neighbor methods. First, they do not simplify the distribution of objects in parameter space to a comprehensible set of parameters. Instead, the training set is retained in its entirety as a description of the object distribution. It is also dependent on the pattern of data locations. The NN algorithm works best on surfaces which are fairly smooth and the variation in data is not too complex.

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