Modeling Environmental Crime in Protected Areas Using the Level Set Method

TL;DR

This paper introduces a level set method for modeling environmental crime in protected areas, leveraging real elevation data and flexible geometry to optimize patrol strategies and reduce illegal activities.

Contribution

It develops a novel level set approach that accurately models criminal movement without symmetry assumptions, incorporating terrain data and patrol effects.

Findings

Successfully applied to Yosemite and Kangaroo Island datasets

Designed patrol strategies to minimize criminal activity area

Demonstrated flexibility for arbitrary region shapes

Abstract

National parks often serve as hotspots for environmental crime such as illegal deforestation and animal poaching. Previous attempts to model environmental crime were either discrete and network-based or required very restrictive assumptions on the geometry of the protected region and made heavy use of radial symmetry. We formulate a level set method to track criminals inside a protected region which uses real elevation data to determine speed of travel, does not require any assumptions of symmetry, and can be applied to regions of arbitrary shape. In doing so, we design a Hamilton-Jacobi equation to describe movement of criminals while also incorporating the effects of patrollers who attempt to deter the crime. We discuss the numerical schemes that we use to solve this Hamilton-Jacobi equation. Finally, we apply our method to Yosemite National Park and Kangaroo Island, Australia and design practical patrol strategies with the goal of minimizing the area that is affected by criminal activity.