Sonic Earth: An Algorithmic Performance Approach to Real-Time Environmental Sonification

This paper introduces an algorithmic performance approach for transforming real-time environmental data into collaborative, generative sound practices. Drawing from atmospheric and geospatial parameters — including temperature, humidity, and pollution indices — the system generates both electronic soundscapes and adaptive notations for acoustic performers. Through live navigation across global environmental conditions, the framework explores dynamic, location-specific harmonic structures, integrating cultural and ecological dimensions into the compositional process. By combining real-time data acquisition, functional programming techniques, and algorithmic composition, the system establishes a dialogic relationship between computational processes and human performers. Departing from traditional sonification models based on symbolic or analytical mappings, this approach frames live performance as a hybrid artistic space where environmental data actively shape musical expression and audience experience. The work aims to position environmental sonification within the broader context of generative art and real-time algorithmic performance, fostering new modes of artistic and ecological engagement.