Statistical methods in landscape architecture for different research purposes

Abstract

Landscape architecture can be addressed and nourished in multiple scientific fields. Landscape architecture, which can touch on different points from design to the human mind or the protection of nature, therefore needs to diversify its analytical studies. Therefore, it is necessary to deal with different datasets produced or evaluated in academic research. There is an increasing need for studies that combine datasets that can be used for different purposes and are open to different evaluations. Recently, the issue of preventing destructive effects on the environment or making these effects more tolerable in residential areas has been intensively researched. For this reason, the accurate evaluation of multiple factors and effects is only possible using various statistical methods. However, it may be challenging to choose the most suitable or accurate method for this study among the possibilities. The primary aim of this chapter was to determine the most frequently used statistical methods in landscape architecture. It also provides an essential perspective on which studies these methods are mainly suitable and what purposes they can serve.