At1ksh/WildlifePitchMonitoringSystem

Wildlife Pitch Monitoring to develop ecological corridors for african lions # Species Distribution Modeling for African Lions Lions, scientifically known as *Panthera leo*, are majestic creatures often referred to as the "Kings of the Jungle." They have been central to countless household tales, animal-themed movies, and sources of inspiration. However, these magnificent animals now face a dire threat: their population is dwindling due to habitat fragmentation. Habitat fragmentation, primarily caused by human activities such as agriculture and urban development, isolates lion populations. This separation reduces their genetic diversity, making them more vulnerable to diseases and other challenges. Additionally, human-wildlife conflicts often lead to retaliatory killings, while illegal poaching further endangers these iconic creatures. ## Project Objective Our project aims to develop a predictive model to identify **ecological corridors**—connected habitats that allow African lions to move safely between areas. These corridors will help mitigate the effects of habitat fragmentation and reduce human-wildlife conflicts by guiding lion movements away from human settlements. **Note:** The study is focused solely on African lions. --- ## Dataset Description The initial dataset, titled `Sample.csv`, comprises **6,638 instances** and includes the following attributes: - `eventDate` - `eventTime` - `startDayOfYear` - `endDayOfYear` - `year` - `month` - `day` - `continent` - `decimalLatitude` - `decimalLongitude` Among these, **decimalLatitude** and **decimalLongitude** are of primary importance as they encapsulate the spatial dimensions essential for comprehensive analysis. --- ## Clustering for Noise Reduction To create a distribution model, we first tackled the challenge of dataset noise and outliers, which made direct modeling inefficient. We implemented **grid-based clustering** to consolidate spatial points into meaningful clusters, reduce noise, and improve computational efficiency without compromising critical ecological patterns. …