Geovisual analysis of VGI for understanding people's behaviour in relation to multi-faceted context

主动和被动生成的空间内容形式的分布式地理信息（VGI）为广泛的应用提供了广泛的潜力。然而，要实现这一潜力，就需要采取考虑到这类数据的具体性质的方法，例如其异质性、质量、主观性、空间分辨率和时间相关性。通过社交媒体平台创作和制作此类内容是人类行为的一种表现，因此受到事件和外部环境的强烈影响。在这个项目中，我们将开发地理视觉分析方法，显示演员如何在LBSM互动，以及他们的互动如何影响，并受到影响，他们的物理和社会环境和关系。在该项目的第一阶段，我们开发并展示了一个概念模型，该模型能够对基于位置的社交媒体（LBSM）中的事件和事件反应进行提取，分析和可视化。这一模式及其实施的一个核心要素是空间、时间、主题和社会层面的整合，以及事件和反应之间的明确联系。后续项目将集中于开发方法，使反应，人类活动和情感之间的联系。此外，事件的社会和物理背景，以及由此产生的对行为的影响将构成一个中心研究要素。该项目将探讨LBSM的代表性及其在一系列研究问题和应用领域中的局限性。一个重要的重点将是识别不同的演员和事件之间的关系，通过使用和进一步开发的广泛调色板的方法和工作流程从视觉分析领域的支持。以及通用方法的开发，使比较分析使用地质统计和视觉方法，我们将细化，联合收割机和参数化的方法，为特定的应用领域。这里的重点在于三个主题领域，项目财团可以从实践中为合作伙伴带来经验和联系：1）景观和城市规划，用于分析和评估绿色区域，2）交通规划，探索群体和个人的流动模式，3）通过应用比较视觉方法的政治学。

Volunteered Geographic Information (VGI) in the form of actively and passively generated spatial content offers extensive potential for a wide range of applications. Realising this potential however requires methods which take account of the specific properties of such data, for example its heterogeneity, quality, subjectivity, spatial resolution and temporal relevance. The creation and production of such content through social media platforms is an expression of human behaviour, and as such influenced strongly by events and external context. In this project we will develop geovisual analysis methods which show how actors interact in LBSM, and how their interactions influence, and are influenced by, their physical and social environment and relations. In the first phase of the project, we developed and demonstrated a conceptual model enabling the extraction, analysis and visualisation of events and reactions to events in location based social media (LBSM). A central element of this model and its implementation is the integration of spatial, temporal, thematic and social dimensions combined with an explicit link between events and reactions. The follow up project will concentrate on the development of methods allowing links to be made between reactions, human activities and emotions. Furthermore, the social and physical context of events, and the resulting influences on and from behaviour will form a central research element. The project will explore the representativity of LBSM and its limits with respect to a range of research questions and application fields. An important focus will be on the identification of relationships between different actors and events, supported by the use and further development of a broad palette of methods and workflows from the domain of visual analytics.As well as the development of generic approaches enabling comparative analysis using geostatistical and visual methods, we will refine, combine and parameterise methods for specific application domains. The focus here lies in three thematic areas to which the project consortium can bring experience and contact to partners from practice: 1) landscape and urban planning for the analyse and evaluation of green areas, 2) transport planning to explore group and individual mobility patterns and 3) political science through the application of comparative visual methods.