[PPGIS] New publication

Greg Brown greg.brown at uq.edu.au
Wed Dec 30 15:02:21 EST 2015


Hi all,

    A new publication reviews sampling effects and response bias in internet participatory mapping across 26 different studies.  What does this mean? A key research question is how to judge spatial data quality in participatory mapping when individuals are requested to map spatial attributes such as place values and management preferences that are often subjective.  Traditional GIS criteria for spatial data quality (e.g., positional accuracy) can't be directly assessed for many participatory mapped attributes. And targeting different sampling groups in the participatory mapping process can bias the results, especially when it comes to mapping preferences for future land/sea use.  This article argues (and provides evidence) that mapping *effort* is a reasonable proxy measure for spatial data quality and that the choice of *who* participates is related to mapping effort and thus, spatial data quality.  Household sampling has the least potential for response bias (although still biased compared to census data) and provides greater mapping effort (on average) over volunteers, but there were exceptions among the studies reviewed. "Communities of interest" or those whose livelihoods are directly related to the purpose of the mapping provide the greatest mapping effort but often represent more narrow social interests. The use of "online internet panels" for participatory mapping results in lower spatial data quality.

Comments always welcome.

The article can be accessed on the Landscape Values and PPGIS Institute website at this link:  http://www.landscapemap2.org/publications/samplingeffects_preprint.pdf

Happy New Year and reading.

Greg


Abstract

Global interest in participatory mapping described as public participation GIS (PPGIS), participatory GIS (PGIS), and volunteered geographic information (VGI) continues to grow, but systematic study of spatial data quality and sampling effects is limited. This paper provides a review and meta-analysis of internet-based PPGIS studies conducted 2006-2015 (n=26) to answer the following research questions: (1) How does mapping effort, as a proxy measure for spatial data quality, differ by sampling group? (2) Does the purpose and context of PPGIS influence mapping results? (3) What is the potential for mapping bias through sampling design? (4) Given the results, what should be the focus of future PPGIS research? Mapping effort was highest in sampling groups whose livelihoods were closely related to the purpose of the study, there was greater mapping effort in household sampling groups compared to volunteer groups, and participant domicile had strong effects on mapped results through spatial discounting. The use of online internet panels provides higher response rates but lower spatial data quality. Future research should focus on increasing sampling response rates, assessing social trade-offs using alternative spatial weighting schemes, and examining the capacity of the public to select land use alternatives as a complement to traditional expert-driven planning systems.

Greg Brown
School of Geography, Planning and Environmental Management
The University of Queensland
Email: greg.brown at uq.edu.au<mailto:greg.brown at uq.edu.au> | Ph: 07 3365 6654 | Fax: 07 3365 6899
Post: Level 4, Building 35 University of Queensland Brisbane Australia 4072
http://www.gpem.uq.edu.au/

Please visit the Landscape Values and PPGIS Institute  http://www.landscapevalues.org<http://www.landscapevalues.org/>
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