Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rohrbach, Beni | - |
| dc.contributor.author | Anderson, Sharolyn | - |
| dc.contributor.author | Laube, Patrick | - |
| dc.date.accessioned | 2018-10-16T16:11:40Z | - |
| dc.date.available | 2018-10-16T16:11:40Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.issn | 0265-8135 | de_CH |
| dc.identifier.issn | 1472-3417 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/11873 | - |
| dc.description.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. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | Sage | de_CH |
| dc.relation.ispartof | Environment and Planning B: Urban Analytics and City Science | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject | Land-use | de_CH |
| dc.subject | Participatory mapping | de_CH |
| dc.subject.ddc | 333.7: Landflächen, Naturerholungsgebiete | de_CH |
| dc.title | The effects of sample size on data quality in participatory mapping of past land use | de_CH |
| dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | Life Sciences und Facility Management | de_CH |
| zhaw.organisationalunit | Institut für Umwelt und Natürliche Ressourcen (IUNR) | de_CH |
| dc.identifier.doi | 10.1177/0265813515618578 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.issue | 4 | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 697 | de_CH |
| zhaw.pages.start | 681 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.volume | 43 | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.webfeed | Geoinformatik | de_CH |
| 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.
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