The project focuses on documenting elk habitats using different tools such as Minimum Bounding Geometry, Kernel Density, Density-Based Clustering, and Directional Distribution using Model Builder. Minimum Boundary Geometry tool helped to delineate the boundary around the point feature class of Elk populations, while the kernel density method allowed a nuanced understanding of identifying regions with high elk densities. It is noteworthy that the kernel density approach generates a continuous or smooth raster that represents the density of points across the study area. The Density-Based Clustering can be useful as it detected the areas where the points are concentrated and mitigated the outliers and irregularities within the dataset.

The Directional Differential tool was utilized twice to identify the overall population within the 1st, 2nd, and third standard deviations and seasonal changes in elk's habitat ranges.