Although the analysis of linkage disequilibrium (LD) plays a central role in many areas of population genetics, the sampling variance of LD is known to be very large with high sensitivity to numbers of nucleotide sites and individuals sampled. Here we show that a genome-wide analysis of the distribution of heterozygous sites within a single diploid genome can yield highly informative patterns of LD as a function of physical distance. The proposed statistic, the correlation of zygosity, is closely related to the conventional population-level measure of LD, but is agnostic with respect to allele frequencies and hence likely less prone to outlier artifacts. Application of the method to several vertebrate species leads to the conclusion that .80% of recombination events are typically resolved by gene-conversion-like processes unaccompanied by crossovers, with the average lengths of conversion patches being on the order of one to several kilobases in length. Thus, contrary to common assumptions, the recombination rate between sites does not scale linearly with distance, often even up to distances of 100 kb. In addition, the amount of LD between sites separated by ,200 bp is uniformly much greater than can be explained by the conventional neutral model, possibly because of the nonindependent origin of mutations within this spatial scale. These results raise questions about the application of conventional population-genetic interpretations to LD on short spatial scales and also about the use of spatial patterns of LD to infer demographic histories.T HE analysis of linkage disequilibrium (LD) plays a central role in many areas of population genetics, including the determination of genetic maps, ascertainment of levels of recombination at the population level, and estimation of effective population sizes. For populations in approximate drift-mutation-recombination equilibrium, the latter becomes possible with neutral markers because the expected levels of allelic association across loci can be expressed in terms of the population parameters u = 4N e u and r = 4N e r, where N e is the effective population size, u is the mutation rate per nucleotide site, and r is the rate of recombination between sites (Ohta and Kimura 1969;Hill 1975). In principle, if an estimate of r is available, the effective population size can be extracted from r (e.g., Hill 1981;Hayes et al. 2003;Tenesa et al. 2007), or vice versa. Unfortunately, the stochasticity of evolutionary processes generates enormous evolutionary variance for two-locus measures (Hill and Weir 1988), so a very large number of LD estimates from independent pairs of sites is required for meaningful inferences on r. Moreover, it has become increasingly clear that gene conversion causes a nonlinear relationship between r and physical distances between sites (Andolfatto and Nordborg 1998), raising questions about the very meaning of r.With methods for whole-genome sequencing now well established, obtaining observations on large numbers of sites is no longer problematic. ...