Comparing large spatial systems is difficult when the elements belong to different physical domains and scales. In this work, spatial similarity is examined using a combination of geometric ratios, angular relationships, and statistical testing, with particular emphasis on Fibonacci-based proportions. The analysis focuses on whether structured point networks exhibit measurable correspondence that exceeds random expectation.