Understanding the spatial structure and environmental link of physical, economic, social, and political processes, or the spatial evidence of their consequences, is significant in many areas of endeavor. As a result, a variety of analytical techniques have previously been developed to explain the spatial behavior of this geographical phenomenon. For example, the quantitative approach has proven to be a successful scientific approach for researching geographical issues and occurrences. The creation of a model, usually with a substantial spatial context, is a key component of quantitative geographical research. Additionally, the Geographic Information System (GIS) is a suitable and efficient tool that provides the fundamental answers to a number of geospatial issues, including the representation, analysis, and knowledge of their spatial dimensions. The application of the quantitative method in spatial analysis, with a focus on the GIS relationship, is the goal of this paper. In summary, the evaluated publications show that mathematical and statistical abilities are necessary for the quantitative approach to geospatial analysis. It aimed to create a more exacting and methodical approach to resolving issues pertaining to geography. Furthermore, it is impossible to overstate the importance of computer and data management abilities in quantitative methodologies. As a computer-based instrument for the collection, storing, processing, and visualization of geographical data, GIS is therefore a crucial method in the quantitative approach to spatial analysis. Similarly, the quantitative method is important to GIS in various ways, such as in the basic ideas of GIS architecture, the concept of attribute table, and the abstraction of geographic space.