ABSTRACT Human emotion is an intrinsic psychological state that is influenced by human thoughts and behaviours. Human emotion distribution has been regarded as an important part of emotional geography research. However, it is difficult to form a global scaled map reflecting human emotions at the same sampling density because various emotional sampling data are usually positive occurrences without absence data. In this study, a methodological framework for mapping the global geographic distribution of human emotion is proposed and applied, combining a species distribution model with physical environment factors. State-of-the-art affective computing technology is used to extract human emotions from facial expressions in Flickr photos. Various human emotions are considered as different species to form their ‘habitats’ and predict the suitability, termed as ‘Emotional Habitat’. To our knowledge, this framework is the first method to predict emotional distribution from an ecological perspective. Different geographic distributions of seven dimensional emotions are explored and depicted, and emotional diversity and abnormality are detected at the global scale. These results confirm the effectiveness of our framework and offer new insights to understand the relationship between human emotions and the physical environment. Moreover, our method facilitates further rigorous exploration in emotional geography and enriches its content.

中文翻译：

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情绪栖息地：使用物种分布模型绘制具有物理环境因素的人类情绪的全球地理分布

摘要 人的情绪是一种受人的思想和行为影响的内在心理状态。人类情感分布已被视为情感地理学研究的重要组成部分。然而，由于各种情绪采样​​数据通常是没有缺席数据的积极事件，因此难以形成以相同采样密度反映人类情感的全局比例图。在这项研究中，结合物种分布模型和物理环境因素，提出并应用了一种绘制人类情感全球地理分布的方法论框架。最先进的情感计算技术用于从 Flickr 照片中的面部表情中提取人类情感。人类的各种情绪被认为是不同的物种，以形成它们的“栖息地”并预测其适宜性，被称为“情感栖息地”。据我们所知，这个框架是第一个从生态角度预测情绪分布的方法。探索和描绘七维情绪的不同地理分布，并在全球范围内检测情绪多样性和异常。这些结果证实了我们框架的有效性，并为理解人类情绪与物理环境之间的关系提供了新的见解。此外，我们的方法促进了对情感地理学的进一步严格探索并丰富了其内容。在全球范围内检测到情绪多样性和异常。这些结果证实了我们框架的有效性，并为理解人类情绪与物理环境之间的关系提供了新的见解。此外，我们的方法促进了对情感地理学的进一步严格探索并丰富了其内容。在全球范围内检测到情绪多样性和异常。这些结果证实了我们框架的有效性，并为理解人类情绪与物理环境之间的关系提供了新的见解。此外，我们的方法促进了对情感地理学的进一步严格探索并丰富了其内容。