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From online texts to Landscape Character Assessment: Collecting and analysing first-person landscape perception computationally

机译：从在线文本到景观角色评估：计算上收集和分析第一人称景观感知

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摘要

Inspired by the narrative nature of Landscape Character Assessment (LCA), we present a complete workflow to (i) build a collection of almost 7000 online texts capturing first-person perception of the Lake District National Park in England, and (ii) analyse these for sight, sound and smell perception. We extract and classify more than 28,000 descriptions referring to sight, almost 1500 to sound and 78 to smell experiences using text analysis. The resulting descriptions can be explored for the whole Lake District revealing for example, how traffic noise intrudes on experiences in the mountains close to transportation axes. Linking descriptions to LCA areas allow us to compare properties of different regions in terms of scenicness or tranquillity at a macro-level by identifying, for example, LCA areas dominated by descriptions of tranquillity or anthropogenic sounds. At a micro-level, we can zoom in to individual descriptions and landscape elements to understand how particular places are experienced in context. Local experts gave positive feedback about the utility of such information as a monitoring tool complementary to existing approaches. Our method has potential for use both in allowing comparison over time and identifying emerging themes discussed in online texts. It provides a scalable way of collecting multiple perspectives from written text, however, more work is required to understand by whom, and why, these contributions are authored.
机译：受到景观角色评估（LCA）的叙事性质的启发，我们向（i）展示了一个完整的工作流程为（i）建立一个近7000个在线文本的集合，捕捉英格兰湖区国家公园的第一人称感知，（ii）分析这些视觉，声音和闻到感知。我们提取并分类了28,000多个描述，参考视线，差不多1500到声音和78来使用文本分析的嗅觉体验。为整个湖区探讨了所产生的描述，例如，交通噪声如何在靠近运输轴的山脉的经验中侵入。将描述与LCA区域链接允许我们在宏观级别的景观或宁静方面比较不同地区的属性，例如通过宁静或人为声音的描述主导地位。在微级，我们可以放大个人描述和景观​​元素，以了解上下文中有效的特定位置。当地专家对这些信息的实用性提供了积极反馈，作为对现有方法互补的监测工具。我们的方法具有允许在允许比较随时间和识别在线文本中讨论的新出现主题的可能性。它提供了一种从书面文本中收集多个观点的可扩展方法，但是，通过谁可以了解更多的工作，以及为什么，这些贡献是撰写的。

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