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\"Klaus\", \"identifier\": \"0000-0003-3388-1353\", \"name\": 
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\"Klaus\", \"identifier\": \"0000-0003-3388-1353\", \"name\": 
            
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\"Ecker\"}, {\"affiliation\": \"Institute of Statistics, University of 
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\"Ecker\"}, {\"affiliation\": \"Institute of Statistics, University of 
            
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Neuchatel\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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Neuchatel\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"data_credit\": [\"software\", \"publication\", \"supervision\"], 
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\"data_credit\": [\"software\", \"publication\", \"supervision\"], 
            
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\"email\": \"yves.tille@unine.ch\", \"given_name\": \"Yves\", 
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\"email\": \"yves.tille@unine.ch\", \"given_name\": \"Yves\", 
            
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\"identifier\": \"0000-0003-0904-5523\", \"name\": \"Till\\u00e9\"}]",
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  "doi": "10.16904/envidat.402",
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  "doi": "10.16904/envidat.402",
            
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"FOEN\", 
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  "language": "en",
            
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  "license_title": "Other (Specified in the description)",
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  "license_title": "Other (Specified in the description)",
            
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
            
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\"klaus.ecker@wsl.ch\", \"given_name\": \"Klaus\", \"identifier\": 
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\"klaus.ecker@wsl.ch\", \"given_name\": \"Klaus\", \"identifier\": 
            
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\"0000-0003-3388-1353\", \"name\": \"Ecker\"}",
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\"0000-0003-3388-1353\", \"name\": \"Ecker\"}",
            
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  "metadata_modified": "2023-05-14T11:18:09.425820",
            
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  "name": "r-script-first-stage-sampling",
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  "name": "r-script-first-stage-sampling",
            
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  "notes": "License: GPL-v2\r\n\r\nThe R script demonstrates the 
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  "notes": "License: GPL-v2\r\n\r\nThe R script illustrates an avanced 
            
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first-stage selection of squares (km2) in the ALL-EMA sampling design 
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sampling approach for monitoring biodiversity on agricultural land by 
            
33
using modern sampling techniques such as unequal probability sampling 
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combining multiple objectives and integrating environmental and 
            
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with fixed sample size, balanced sampling, stratified balancing and 
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geographic space for optimal estimation efficiency.\r\n\r\nIn doing 
            
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geographic spreading. The sampling is done with unequal probabilites 
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so, the R script demonstrates the first-stage selection of squares 
            
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and weights defined by power allocation to give equal weight to 
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(km2) in the ALL-EMA sampling design using modern sampling techniques 
            
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extrapolations to the total agricultural area of Switzerland and two 
37
such as unequal probability sampling with fixed sample size, balanced 
            
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stratifications of predefined interest (regions and agricultural 
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sampling, stratified balancing and geographic spreading. Sampling is 
            
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production zones). The sample sizes are nearly fixed within strata and 
39
done with unequal probabilities and weights defined by power 
            
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a predifined temporal rotation, which is convenient for convenient for 
40
allocation to give equal weight to extrapolations to the total 
            
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the organisation of the field work. Sampling also ensures an optimal 
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agricultural area of Switzerland and two stratifications of predefined 
            
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distribution across geographic space, including altitude. Despite the 
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interest (regions and agricultural production zones). The sample sizes 
            
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complexity of the sampling, estimation based on the probability of the 
43
are nearly fixed within strata and a predefined temporal rotation plan 
            
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of the survey, which is convenient for the organisation of the field 
            
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work. Sampling also ensures an optimal distribution across geographic 
            
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space, including altitude. Despite the complexity of the sampling, 
            
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estimation based on probability theory is 
            
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sampling is straightforward.\r\n\r\nEcker, K., Meier, E. & Till\u00e9, 
48
straightforward.\r\n\r\nEcker, K., Meier, E. & Till\u00e9, Y. review. 
            
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Y. review. Integrating spatial and ecological information into 
49
Integrating spatial and ecological information into comprehensive 
            
46
comprehensive biodiversity monitoring on agricultural land. 
50
biodiversity monitoring on agricultural land. Environmental Monitoring 
            
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Environmental Monitoring and Assessment.\r\n",
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and Assessment.\r\n",
            
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  "num_tags": 5,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2018-07-18T11:14:04.773731",
            
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    "description": "We assess and analyse the state of different 
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    "description": "We assess and analyse the state of different 
            
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habitat types and their ecological changes with a particular focus on 
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habitat types and their ecological changes with a particular focus on 
            
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the habitats of national importance of Switzerland. We concentrate on 
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the habitats of national importance of Switzerland. We concentrate on 
            
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ecological changes and their causes in different ecosystems and 
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ecological changes and their causes in different ecosystems and 
            
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habitat types of Switzerland. We are especially interested in the 
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habitat types of Switzerland. We are especially interested in the 
            
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effects of different management systems, nutrient input, land-use 
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effects of different management systems, nutrient input, land-use 
            
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change (e.g. intensification, abandonment), habitat fragmentation as 
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change (e.g. intensification, abandonment), habitat fragmentation as 
            
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well as climate change on ecosystem state. We base our research on 
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well as climate change on ecosystem state. We base our research on 
            
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systematically assessed floristic and faunistic biodiversity-data, 
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systematically assessed floristic and faunistic biodiversity-data, 
            
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modelling and remote sensing information.\r\n\r\nWe strongly engage in 
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modelling and remote sensing information.\r\n\r\nWe strongly engage in 
            
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the monitoring and evaluation of qualitative and quantitative changes 
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the monitoring and evaluation of qualitative and quantitative changes 
            
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in natural or semi-natural habitats of Switzerland as a basis for 
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in natural or semi-natural habitats of Switzerland as a basis for 
            
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decision-making in policy and applied nature conservation. In the 
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decision-making in policy and applied nature conservation. In the 
            
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project \"Effectiveness of Habitat Protection in Switzerland\", 
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project \"Effectiveness of Habitat Protection in Switzerland\", 
            
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commissioned by the Federal Office of Environment BAFU, we concentrate 
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commissioned by the Federal Office of Environment BAFU, we concentrate 
            
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on the habitats of national importance (raised bogs, transitional 
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on the habitats of national importance (raised bogs, transitional 
            
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mires and fens, dry meadows, alluvial zones and amphibian spawning 
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mires and fens, dry meadows, alluvial zones and amphibian spawning 
            
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areas), i.e. the \"crown jewelry\" of Swiss nature reserves. Moreover, 
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areas), i.e. the \"crown jewelry\" of Swiss nature reserves. Moreover, 
            
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we share our knowledge on mire protection through consulting 
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we share our knowledge on mire protection through consulting 
            
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activities for the national government and the cantons.",
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activities for the national government and the cantons.",
            
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    "state": "active",
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    },
            
172
    {
176
    {
            
173
      "display_name": "MULTI-STAGE",
177
      "display_name": "MULTI-STAGE",
            
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      "id": "0104f31b-7abc-425e-b5b2-e892c24113a3",
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      "id": "0104f31b-7abc-425e-b5b2-e892c24113a3",
            
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      "name": "MULTI-STAGE",
179
      "name": "MULTI-STAGE",
            
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      "state": "active",
180
      "state": "active",
            
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      "vocabulary_id": null
181
      "vocabulary_id": null
            
178
    },
182
    },
            
179
    {
183
    {
            
180
      "display_name": "UNEQUAL PROBABILITY",
184
      "display_name": "UNEQUAL PROBABILITY",
            
181
      "id": "ab7374b6-8cb8-4394-b06e-ce172c867317",
185
      "id": "ab7374b6-8cb8-4394-b06e-ce172c867317",
            
182
      "name": "UNEQUAL PROBABILITY",
186
      "name": "UNEQUAL PROBABILITY",
            
183
      "state": "active",
187
      "state": "active",
            
184
      "vocabulary_id": null
188
      "vocabulary_id": null
            
185
    },
189
    },
            
186
    {
190
    {
            
187
      "display_name": "VEGETATION",
191
      "display_name": "VEGETATION",
            
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      "id": "d2f171f0-87f1-4e4a-aa7d-535d103ce617",
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      "id": "d2f171f0-87f1-4e4a-aa7d-535d103ce617",
            
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      "name": "VEGETATION",
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      "name": "VEGETATION",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
195
      "vocabulary_id": null
            
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    }
196
    }
            
193
  ],
197
  ],
            
194
  "title": "R script and input data for \"ALL-EMA sampling design\"",
198
  "title": "R script and input data for \"ALL-EMA sampling design\"",
            
195
  "type": "dataset",
199
  "type": "dataset",
            
196
  "url": null,
200
  "url": null,
            
197
  "version": "1.0"
201
  "version": "1.0"
            
198
}
202
}