The analysis of stratigraphic sections has always been conducted through an integration of quantitative and qualitative observations. Recently, new techniques have been put forward as mechanisms for extracting high-resolution quantitative data from outcrops for the purpose of assessing controls on accommodation-space change. Evaluation of the validity and reliability of these analytical techniques provides an important framework for future implementation. First, the discrete facies rank technique is employed by stratigraphers as a mechanism for the construction of a proxy sea-level curve. Exclusion of highly diagnostic but thin or infrequently occurring facies, as driven by sampling interval size, will potentially have an impact on the results of analysis of stratigraphic organization. The probability of inclusion of a facies in a dataset of equally spaced lithological observations is controlled by the thicknesses of the occurrences of the lithology as well as its recurrence frequency in the section. Second, the grey-scale analysis of outcrop photographs is used as a quantitative proxy for lithological variation. Evaluation of this technique indicates that it is highly depend ent upon the geometric relationships between the outcrop and the focal plane of the camera. Geometric foreshortening can result in quantitative distortion of the grey-scale series, and thus has impacts on interpretations drawn from the analysis of the data series. Additionally, scale-dependent averaging of grey-scale values across a row of pixels can result in quantifi able distortion in the spectral characteristics of the data series. While both the discrete facies rank technique and grey-scale analysis of outcrop photographs can provide useful mechanisms for the collection of uniformly spaced stratigraphic data, great care must be taken in how these techniques are used and how results from the analysis of resultant data are interpreted.