Which modeling approach is general and based on individual data points?

The inductive model is characterized by its approach to reasoning and data interpretation. It starts with specific observations or individual data points and develops general conclusions or theories from them. This method is often used in various scientific and analytical fields, including geospatial analysis, where practitioners collect data from observations or measurements and build models or theories based on those data sets.

In the context of GIS, an inductive approach might involve collecting individual data points, such as GPS coordinates or survey results, and analyzing them to identify broader patterns or trends, which can then inform broader conclusions about geographic phenomena. This contrasts with models that are based on established theories or frameworks aiming to test specific hypotheses.

Understanding why this approach is applicable relies on the nature of how knowledge is built up in practice. When individual data points contribute to the formation of hypotheses or models, it illustrates the strengths of the inductive method in generating insight from direct observations and experiences.