The sensory mechanisms by which organisms orient towards potential food prior to initiating movement are well-researched. However, behavioral mechanisms in stimulus-poor environments which determine foraging through seemingly stochastic movement variability or random-walk models remain poorly understood. Existing literature describe analyses of a variety of single-organism emergent movement patterns but do not appear to offer comparative analysis between single- and multi-individual environments nor within degrees of resource availability. We introduce a new analysis of observed fluctuations in spontaneous movement by Caenorhabditis elegans exposed to diverse conditions of competition and resource abundance. We describe a sequence of experiments which quantify the movement patterns of C. elegans through video imaging pattern recognition codified by run-length-time and turn-angle-time in comparison to recursively updating algorithmic position estimation. We expect to observe movement patterned on optimized explore-exploit strategies—such as simple random walk or Lévy flight—with frequency of implementation influenced by both population and resource density.