Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Analysis of the sampling representativeness for the Land Parcel Identification System Quality Assurance
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.D.5-Food Security
Analysis of the sampling representativeness for the Land Parcel Identification System Quality Assurance
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.D.5-Food Security
Analysis of the sampling representativeness for the Land Parcel Identification System Quality Assurance
FASBENDER DOMINIQUE (Autor:in) / DEVOS WIM (Autor:in) / LEMAJIC SLAVKO (Autor:in)
08.08.2017
Sonstige
Elektronische Ressource
Englisch
DDC:
710
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