The effects of sample size on data quality in participatory mapping of past land use

Rohrbach, Beni; Anderson, Sharolyn; Laube, Patrick

doi:10.1177/0265813515618578

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	The effects of sample size on data quality in participatory mapping of past land use
Authors:	Rohrbach, Beni Anderson, Sharolyn Laube, Patrick
DOI:	10.1177/0265813515618578
Published in:	Environment and Planning B: Urban Analytics and City Science
Volume(Issue):	43
Issue:	4
Page(s):	681
Pages to:	697
Issue Date:	2015
Publisher / Ed. Institution:	Sage
ISSN:	0265-8135 1472-3417
Language:	English
Subjects:	Land-use; Participatory mapping
Subject (DDC):	333.7: Land, natural recreational areas
Abstract:	In this article, we examine the effect of sample size on spatial data quality in participatory mapping for assessing past land use. Using a map-based questionnaire, we capture changes in the extent and location of arable farmland 20 years ago. We then compare the results of the participatory mapping with reference data from the literature and accordingly calculate quality measures based on notions of correctness and completeness. In our data, correctness is high only for areas marked by many participants; the completeness metric increases as a function of the total area delineated by the participants. These data quality metrics then are analysed for subsamples, which are computed through leave-p-out jackknifing from our sample. This cross-validation addresses the question as to whether our data would be considered correct and complete having had included fewer participants. We present evidence that a small number of participants – in our case, less than 10 – already yield high-quality data. Further, we can demonstrate that aggregating the data from those participants with highest individual data quality values does not generate the best data quality as a group. This work provides a contribution to the use of participatory mapping for gathering correct and complete data.
URI:	https://digitalcollection.zhaw.ch/handle/11475/11873
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Natural Resource Sciences (IUNR)
Appears in collections:	Publikationen Life Sciences und Facility Management

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Rohrbach, B., Anderson, S., & Laube, P. (2015). The effects of sample size on data quality in participatory mapping of past land use. Environment and Planning B: Urban Analytics and City Science, 43(4), 681–697. https://doi.org/10.1177/0265813515618578

Rohrbach, B., Anderson, S. and Laube, P. (2015) ‘The effects of sample size on data quality in participatory mapping of past land use’, Environment and Planning B: Urban Analytics and City Science, 43(4), pp. 681–697. Available at: https://doi.org/10.1177/0265813515618578.

B. Rohrbach, S. Anderson, and P. Laube, “The effects of sample size on data quality in participatory mapping of past land use,” Environment and Planning B: Urban Analytics and City Science, vol. 43, no. 4, pp. 681–697, 2015, doi: 10.1177/0265813515618578.

ROHRBACH, Beni, Sharolyn ANDERSON und Patrick LAUBE, 2015. The effects of sample size on data quality in participatory mapping of past land use. Environment and Planning B: Urban Analytics and City Science. 2015. Bd. 43, Nr. 4, S. 681–697. DOI 10.1177/0265813515618578

Rohrbach, Beni, Sharolyn Anderson, and Patrick Laube. 2015. “The Effects of Sample Size on Data Quality in Participatory Mapping of Past Land Use.” Environment and Planning B: Urban Analytics and City Science 43 (4): 681–97. https://doi.org/10.1177/0265813515618578.

Rohrbach, Beni, et al. “The Effects of Sample Size on Data Quality in Participatory Mapping of Past Land Use.” Environment and Planning B: Urban Analytics and City Science, vol. 43, no. 4, 2015, pp. 681–97, https://doi.org/10.1177/0265813515618578.