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On May 14, 2023 at 10:53:06 AM UTC, Gravatar Klaus Ecker:
  • Updated description of R script and input data for "ALL-EMA sampling design" from

    License: GPL-v2 The R script 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 using unequal probabilites with weights defined by power allocation to give equal weight to extrapolations to the total agricultural area of Switzerland and to predefined target regions and landscape types (i.e. agricultural production zones). The final samples are also well distributed across geographic space, including altitude. Ecker, K., Meier, E. & Tillé, Y. review. Integrating spatial and ecological information into comprehensive biodiversity monitoring on agricultural land. Environmental Monitoring and Assessment.
    to
    License: GPL-v2 The R script 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. The sampling is done with unequal probabilites 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). The sample sizes are nearly fixed within strata and a predifined temporal rotation, which is convenient for convenient for the organisation of the field work. Sampling also ensures an optimal distribution across geographic space, including altitude. Despite the complexity of the sampling, estimation based on the probability of the sampling is straightforward. Ecker, K., Meier, E. & Tillé, Y. review. Integrating spatial and ecological information into comprehensive biodiversity monitoring on agricultural land. Environmental Monitoring and Assessment.