Abstract
This article aims at establishing a new application of the correspondence analysis (CA) method for analyzing qualitative data in architecture and landscape architecture. This method is primarily used in genealogy but is here, for the first time, applied to architectural studies. After introducing a qualitative method based on coding process, a practical guide for using CAQDAS (Computer-Assisted Qualitative Data Analysis Software) is provided. The software NVivo-8 is applied to analyze the data. CA, a multivariate statistical technique, is used to identify the underlying structure of the data and visualize the results. For the purpose of testing this method in practice, the National Garden of Tehran was selected as a case study to provide the data. The focus is on visualizing the similarities between the properties of the National Garden of Tehran and several different garden design styles. Two reliability tests were performed to verify the results, indicating that the National Garden of Tehran has many characteristics similar to those of a typical Baroque garden style. We believe that this new method may have wide application possibilities for studies on architecture, urban design, and landscape architecture.KeywordsLandscape architecturecomputer technologystatisticsqualitative data analysis (QDA)correspondence analysis (CA)
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