R script and input data for "ALL-EMA sampling design"

License: GPL-v2

The R script presents an advanced sampling approach for monitoring biodiversity on agricultural land by combining multiple objectives and integrating environmental and geographic space.

The example demonstrates the first-stage selection of squares (km2) in the ALL-EMA sampling design using modern sampling techniques such as unequal probability sampling with fixed sample size, balanced sampling, stratified balancing and geographic spreading. Sampling is done with unequal probabilities and weights defined by power allocation to give equal weight to extrapolations to the total agricultural area of Switzerland and two stratifications of predefined interest (regions and agricultural production zones). Calibration is used to limit the distribution of the sampling weights. The sample sizes are almost fixed within the strata and evenly distributed across the years of a temporal rotation plan, which is favourable for the organisation of the field survey. Sampling also ensures an optimal (annual) distribution across geographic space, including altitude. Despite the complexity of the sampling, estimation based on probability theory is straightforward.

Ecker, K.T., Meier, E.S. & Tillé, Y. 2023. Integrating spatial and ecological information into comprehensive biodiversity monitoring on agricultural land. Environmental Monitoring and Assessment 195.

Funding Information:

This work was supported by:
  • FOEN


Ecker, Klaus; Tillé, Yves (2023). R script and input data for "ALL-EMA sampling design". EnviDat. doi:10.16904/envidat.402.

DataCite ISO 19139 GCMD DIF README.txt BibTex RIS

Data and Resources


Field Values
DOI 10.16904/envidat.402
Publication State Published
  • Email: klaus.eckerfoo(at)wsl.ch ORCID: 0000-0003-3388-1353 Given Name: Klaus Family Name: Ecker Affiliation: WSL DataCRediT: Software, Publication
  • Email: yves.tillefoo(at)unine.ch ORCID: 0000-0003-0904-5523 Given Name: Yves Family Name: Tillé Affiliation: Institute of Statistics, University of Neuchatel DataCRediT: Software, Publication, Supervision
Contact Person Given Name: Klaus Family Name: Ecker Email: klaus.eckerfoo(at)wsl.ch Affiliation: WSL ORCID: 0000-0003-3388-1353
Publication Publisher: EnviDat Year: 2023
  • Type: Created Date: 2023-11-05
Version 1.0
Type dataset
General Type Dataset
Language English
Location Switzerland
Content License Other (Specified in the description)
Last Updated September 7, 2023, 12:01 (UTC)
Created May 11, 2023, 14:32 (UTC)