Location Analytics for Transitioning to Fire Resilient Landscapes

Abstract

Wildfire risk is significant for forest and vegetative landscapes, particularly in regions where climate change is resulting in prolonged droughts and extended fire seasons that are a fire risk to people and property. An important component of mitigation is restoration programs that transition landscapes to be more fire resilient. A collaborative partnership between the US Forest Service and university researchers is reported that takes advantage of location intelligence. This paper reviews this general planning problem and details location analytic based approaches for informing mitigation efforts. Application of results highlight the ability to optimize goals and objectives while maintaining project area needs and treatment thresholds.

DiagnoBot: A Medical Chatbot

“…An enclave is a portion other than the largest when a area is divided into multiple portions, which cannot be reached without passing outside the area when moving from the largest portion. In the problem of selecting areas for forest protection, a method introduced connectivity constraints into integer linear programming problems [17]. Similarly, avoiding exclaves in school districts is another desired goal [18].…”