1. A computer-implemented method for mapping one or more genomic markers to a phenotypical trait, the method comprising: receiving, using one or more processors, a structured data set having a plurality of genomic markers; determining, using one or more processors, a first correlating statistic for each genomic marker where the magnitude of the correlating statistic is proportional to the capability of the genomic marker to map a phenotype; and calculating, using one or more processors, a second correlating statistic for each genomic marker from a smoothing mathematical function of the determined first correlating statistic of the genomic marker and the first correlating statistic of adjacent genomic markers, wherein calculating includes: providing a neighbor parameter indicating how many adjacent genomic markers to use in calculating the second correlating statistic, and providing a weight parameter indicating a weight to apply to each of the adjacent genomic markers used in calculating the second correlating statistic, and calculating the second correlating statistic for each genomic marker according to the following equation: AVGCHI ⁡ ( j ) = ∑ k = - NEIGHBORNUM NEIGHBORNUM ⁢ WEIGHTS [ k + NEIGHBORNUM ] * MAX ⁡ [ j + k ] ∑ k = 0 2 * ⁢ NEIGHBORNUM ⁢ WEIGHTS ⁡ [ k ] , wherein NEIGHBORNUM is the neighbor parameter, WEIGHTS is an array of weight parameters having length NEIGHBORNUM, and MAX is the first correlating statistic.