A2 Refereed review article in a scientific journal
A methodological framework for analysis of participatory mapping data in research, planning, and management
Authors: Fagerholm Nora, Raymond Christopher M, Olafsson Anton Stahl, Brown Gregory, Rinne Tiina, Hasanzadeh Kamyar, Broberg Anna, Kyttä Marketta
Publisher: TAYLOR & FRANCIS LTD
Publication year: 2021
Journal: International Journal of Geographical Information Science
Journal name in source: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Journal acronym: INT J GEOGR INF SCI
Number of pages: 28
ISSN: 1365-8816
eISSN: 1362-3087
DOI: https://doi.org/10.1080/13658816.2020.1869747
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/53305995
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.
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