Spatial Distribution Analysis of Wild Bird Migration in Qinghai Lake Based on Maximum Entropy Modeling

Species distribution analysis is becoming imperative in recent years. In this paper, we proposed the application of Maximum Entropy model to predict the species distribution from satellite tracking data and remote sensing data. We construct the 2-D geographic lattice to address the problem of huge calculating amounts resulting from the large amount GPS tracking records. The results of experiment showed the maxent model outperform the traditional classification in prediction, and the prediction results represented that the changing environment condition have directly impacts on wild species selection. We believe our method provide a useful step to understand the changing environment.