Visualization of Geospatial Time Series from Environmental Modeling Output

Abstract

Environmental models produce geospatial time series containing many spatio-temporal patterns. Scientists need to understand these patterns to analyze the behavior of the simulated environmental systems. We combine clustering and visualization to generate an intuitive visual summary of geospatial time series that captures the data’s prominent spatio-temporal information. As a first step, we evaluated our approach with well-understood observational data. Our visualization depicted all prominent features of these data suggesting that our method is readily applicable to environmental model output.