I have some points that represent animal locations over the course of a few months. I am emulating the work of previous researchers in this field. I'm still new to GIS, so I previously thought that I wanted to run my animal locations through a Kernel Density Estimate. However, re-reading the previous literature and comparing the maps, I think I need a particular kind of KDE. The previous research was published in 2011, so the author used Hawth's tools to conduct a Fixed KDE with volume contours (referenced here and below). Unfortunately, Hawth's doesn't work with Arc10 and it's analogue, GME doesn't work with ArcMap 10.6, which is on all the university computers.
Is there another tool that I can download to make this percent volume contour?
Here is a picture of the KDE from the cited report
For the kernel analysis we used the Hawth’s Tool, Fixed Kernel Density Estimator. Kernel analysis is a nonparametric statistical method for estimating probability densities from a set of points. When used to analyze home range data, kernel density methods describe the probability of finding an animal in any one place. The Fixed Kernel Density Estimator calculates a fixed kernel density estimate and produces contour lines representing the boundary of the area that contains a specified percent of the volume of a probability density distribution. A 95% volume contour, for example, typically contains 95% of the points used to generate the kernel density estimate. Kernel parameters were set as follows: scaling factor- 1000000, kernel- bivariate normal, single parameter smoothing factor (h)-1000, raster cell size-100, and percent volume contours- 50, 90, and 95.