Title: Analysis of the sampling representativeness for the Land Parcel Identification System Quality Assurance
Publisher: Publications Office of the European Union
Publication Year: 2017
JRC N°: JRC107675
ISBN: 978-92-79-73181-5
ISSN: 1831-9424
Other Identifiers: EUR 28755 EN
OP KJ-NA-28755-EN-N
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC107675
DOI: 10.2760/458367
Type: EUR - Scientific and Technical Research Reports
Abstract: After its 2016 performance audit on the Land Parcel Identification System (LPIS), the European Court of Auditors recommended that the Commission should carry out a cost-benefit analysis in order to determine whether the representativeness of QA samples could be improved so that a better coverage of the population of parcels in LPIS be achieved. This report holds the results of that analysis. An appropriate indicator for representativeness was developed and benchmarked. That indicator, “percentage of the population in the 95% central probability interval (PCPI)” was then applied to the actual samples of the past to measure their performance. Additionally, the simulation of several sampling scenarios allowed to assess whether sub-optimal conditions could be remediated by the appropriate mitigation measures. The results reconfirmed that the initial approach of spatial stratification does not interfere with the representativeness in se, but it also found that the current implementation could leave a few territories with some residual effect from the implied spatial clustering. This potential weakness was addressed by improving the resolution of the stratification control layer, ensuring a minimum set of clusters as well as introducing stratified random sampling. Simulations demonstrated these combined remedies were effective for nearly all Member States and regions. Cyprus and Luxemburg missed the target, but only just. The revised methodology led to a 15 percent increase of the number of control zones over Europe, but did not require any procedural modification or other additional inspection workload for the Member States. This revised sampling methodology thus considers the Court’s cost-benefit concerns and has been fully implemented for the 2017 LPIS QA campaign.
JRC Directorate:Sustainable Resources

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