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A methodological framework for analysis of participatory mapping data in research, planning, and management
International Journal of Geographical Information Science ( IF 4.3 ) Pub Date : 2021-01-14
Nora Fagerholm, Christopher M. Raymond, Anton Stahl Olafsson, Gregory Brown, Tiina Rinne, Kamyar Hasanzadeh, Anna Broberg, Marketta Kyttä

ABSTRACT

Today, various methods are applied to analyze the data collected through participatory mapping, including public participation GIS (PPGIS), participatory GIS (PGIS), and collecting volunteered geographic information (VGI). However, these methods lack an organized framework to describe and guide their systematic applications. Majority of the published articles on participatory mapping apply a specific subset of analyses that fails to situate the methods within a broader, more holistic context of research and practice. Based on the expert workshops and a literature review, we synthesized the existing analysis methods applied to the data collected through participatory mapping approaches. In this article, we present a framework of methods categorized into three phases: Explore, Explain, and Predict/Model. Identified analysis methods have been highlighted with empirical examples. The article particularly focuses on the increasing applications of online PPGIS and web-based mapping surveys for data collection. We aim to guide both novice and experienced practitioners in the field of participatory mapping. In addition to providing a holistic framework for understanding data analysis possibilities, we also discuss potential directions for future developments in analysis of participatory mapping data.



中文翻译:

在研究,计划和管理中用于分析参与性制图数据的方法框架

摘要

如今,已采用各种方法来分析通过参与式地图收集的数据,包括公众参与GIS(PPGIS),参与式GIS(PGIS)和收集自愿性地理信息(VGI)。但是,这些方法缺乏描述和指导其系统应用的组织框架。有关参与式制图的大多数已发表文章都应用了特定的分析子集,这些子集未能将方法置于更广泛,更整体的研究和实践环境中。在专家研讨会和文献综述的基础上,我们综合了适用于通过参与式映射方法收集的数据的现有分析方法。在本文中,我们提供了一个方法框架,该方法分为三个阶段:Explore,Explain预测/模型。识别的分析方法已通过经验示例突出显示。本文特别关注在线PPGIS和基于Web的地图调查在数据收集中的日益增长的应用。我们旨在指导参与式制图领域的新手和有经验的从业人员。除了提供用于理解数据分析可能性的整体框架之外,我们还讨论了参与式制图数据分析的潜在发展方向。

更新日期:2021-01-14
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