Understanding and managing tourism event experiences requires insight into how emotions unfold across space. Drawing on constructed emotion theory, this study advanced both theoretical and methodological knowledge by comparing three spatial emotion mapping approaches. Namely, we applied experience reconstruction maps, emotion physiology maps, and emotion effectiveness maps to visitor experiences of two events at nature-based fort settings in the Netherlands. Using intercept sampling (N = 98), we combined questionnaires with GPS tracking and skin conductance measurement to collect location-resolved emotional data. The resulting maps revealed markedly different spatial emotion patterns, reflecting distinct emotional components: physiological arousal and recalled or reconstructed emotional arousal and valence. Studies which map emotions have usually not accounted for within-individual autocorrelation. Our multilevel statistical models, in contrast, did account for this. The difference in emotion ranking of AOI raised questions about the validity of previous emotion mapping efforts. We extended constructed emotion theory to spatial analysis, demonstrated the limits of current mapping methods, and argued in favor of controlling for autocorrelation for robust spatial emotion research. Our findings can provide methodological guidance for researchers and event managers, and can lay the groundwork for future innovations that integrate physiological, self-reported, and spatial data for sustainable tourism event management.
Mitas et al. (Thu,) studied this question.