Changes
On May 14, 2023 at 11:20:22 AM UTC, Klaus Ecker:
-
Updated description of R script and input data for "ALL-EMA sampling design" from
License: GPL-v2 The R script illustrates an avanced sampling approach for monitoring biodiversity on agricultural land by combining multiple objectives and integrating environmental and geographic space for optimal estimation efficiency. In doing so, 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 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). The sample sizes are nearly fixed within strata and a predefined temporal rotation plan of the survey, which is 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 probability theory 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.
toLicense: GPL-v2 The R script illustrates an avanced sampling approach for monitoring biodiversity on agricultural land by combining multiple objectives and integrating environmental and geographic space for optimal estimation efficiency. In doing so, 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 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). The sample sizes are nearly fixed within strata and a predefined temporal rotation plan, which is convenient for the organisation of the field survey. Sampling also ensures an optimal distribution across geographic space, including altitude. Despite the complexity of the sampling, estimation based on probability theory 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.
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"software\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"software\", | ||
4 | \"publication\"], \"email\": \"klaus.ecker@wsl.ch\", \"given_name\": | 4 | \"publication\"], \"email\": \"klaus.ecker@wsl.ch\", \"given_name\": | ||
5 | \"Klaus\", \"identifier\": \"0000-0003-3388-1353\", \"name\": | 5 | \"Klaus\", \"identifier\": \"0000-0003-3388-1353\", \"name\": | ||
6 | \"Ecker\"}, {\"affiliation\": \"Institute of Statistics, University of | 6 | \"Ecker\"}, {\"affiliation\": \"Institute of Statistics, University of | ||
7 | Neuchatel\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 7 | Neuchatel\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
8 | \"data_credit\": [\"software\", \"publication\", \"supervision\"], | 8 | \"data_credit\": [\"software\", \"publication\", \"supervision\"], | ||
9 | \"email\": \"yves.tille@unine.ch\", \"given_name\": \"Yves\", | 9 | \"email\": \"yves.tille@unine.ch\", \"given_name\": \"Yves\", | ||
10 | \"identifier\": \"0000-0003-0904-5523\", \"name\": \"Till\\u00e9\"}]", | 10 | \"identifier\": \"0000-0003-0904-5523\", \"name\": \"Till\\u00e9\"}]", | ||
11 | "author_email": null, | 11 | "author_email": null, | ||
12 | "creator_user_id": "ec8ebbf4-320b-4371-9c5a-998a7cd08c1d", | 12 | "creator_user_id": "ec8ebbf4-320b-4371-9c5a-998a7cd08c1d", | ||
13 | "date": "[{\"date\": \"2023-11-05\", \"date_type\": \"created\", | 13 | "date": "[{\"date\": \"2023-11-05\", \"date_type\": \"created\", | ||
14 | \"end_date\": \"\"}]", | 14 | \"end_date\": \"\"}]", | ||
15 | "doi": "10.16904/envidat.402", | 15 | "doi": "10.16904/envidat.402", | ||
16 | "funding": "[{\"grant_number\": \"\", \"institution\": \"FOEN\", | 16 | "funding": "[{\"grant_number\": \"\", \"institution\": \"FOEN\", | ||
17 | \"institution_url\": \"\"}]", | 17 | \"institution_url\": \"\"}]", | ||
18 | "groups": [], | 18 | "groups": [], | ||
19 | "id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | 19 | "id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | ||
20 | "isopen": false, | 20 | "isopen": false, | ||
21 | "language": "en", | 21 | "language": "en", | ||
22 | "license_id": "other-undefined", | 22 | "license_id": "other-undefined", | ||
23 | "license_title": "Other (Specified in the description)", | 23 | "license_title": "Other (Specified in the description)", | ||
24 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 24 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
25 | \"klaus.ecker@wsl.ch\", \"given_name\": \"Klaus\", \"identifier\": | 25 | \"klaus.ecker@wsl.ch\", \"given_name\": \"Klaus\", \"identifier\": | ||
26 | \"0000-0003-3388-1353\", \"name\": \"Ecker\"}", | 26 | \"0000-0003-3388-1353\", \"name\": \"Ecker\"}", | ||
27 | "maintainer_email": null, | 27 | "maintainer_email": null, | ||
28 | "metadata_created": "2023-05-11T14:32:34.812518", | 28 | "metadata_created": "2023-05-11T14:32:34.812518", | ||
n | 29 | "metadata_modified": "2023-05-14T11:18:09.425820", | n | 29 | "metadata_modified": "2023-05-14T11:20:22.042046", |
30 | "name": "r-script-first-stage-sampling", | 30 | "name": "r-script-first-stage-sampling", | ||
31 | "notes": "License: GPL-v2\r\n\r\nThe R script illustrates an avanced | 31 | "notes": "License: GPL-v2\r\n\r\nThe R script illustrates an avanced | ||
32 | sampling approach for monitoring biodiversity on agricultural land by | 32 | sampling approach for monitoring biodiversity on agricultural land by | ||
33 | combining multiple objectives and integrating environmental and | 33 | combining multiple objectives and integrating environmental and | ||
34 | geographic space for optimal estimation efficiency.\r\n\r\nIn doing | 34 | geographic space for optimal estimation efficiency.\r\n\r\nIn doing | ||
35 | so, the R script demonstrates the first-stage selection of squares | 35 | so, the R script demonstrates the first-stage selection of squares | ||
36 | (km2) in the ALL-EMA sampling design using modern sampling techniques | 36 | (km2) in the ALL-EMA sampling design using modern sampling techniques | ||
37 | such as unequal probability sampling with fixed sample size, balanced | 37 | such as unequal probability sampling with fixed sample size, balanced | ||
38 | sampling, stratified balancing and geographic spreading. Sampling is | 38 | sampling, stratified balancing and geographic spreading. Sampling is | ||
39 | done with unequal probabilities and weights defined by power | 39 | done with unequal probabilities and weights defined by power | ||
40 | allocation to give equal weight to extrapolations to the total | 40 | allocation to give equal weight to extrapolations to the total | ||
41 | agricultural area of Switzerland and two stratifications of predefined | 41 | agricultural area of Switzerland and two stratifications of predefined | ||
42 | interest (regions and agricultural production zones). The sample sizes | 42 | interest (regions and agricultural production zones). The sample sizes | ||
t | 43 | are nearly fixed within strata and a predefined temporal rotation plan | t | 43 | are nearly fixed within strata and a predefined temporal rotation |
44 | of the survey, which is convenient for the organisation of the field | 44 | plan, which is convenient for the organisation of the field survey. | ||
45 | work. Sampling also ensures an optimal distribution across geographic | 45 | Sampling also ensures an optimal distribution across geographic space, | ||
46 | space, including altitude. Despite the complexity of the sampling, | 46 | including altitude. Despite the complexity of the sampling, estimation | ||
47 | estimation based on probability theory is | 47 | based on probability theory is straightforward.\r\n\r\nEcker, K., | ||
48 | straightforward.\r\n\r\nEcker, K., Meier, E. & Till\u00e9, Y. review. | 48 | Meier, E. & Till\u00e9, Y. review. Integrating spatial and ecological | ||
49 | Integrating spatial and ecological information into comprehensive | 49 | information into comprehensive biodiversity monitoring on agricultural | ||
50 | biodiversity monitoring on agricultural land. Environmental Monitoring | 50 | land. Environmental Monitoring and Assessment.\r\n", | ||
51 | and Assessment.\r\n", | ||||
52 | "num_resources": 2, | 51 | "num_resources": 2, | ||
53 | "num_tags": 5, | 52 | "num_tags": 5, | ||
54 | "organization": { | 53 | "organization": { | ||
55 | "approval_status": "approved", | 54 | "approval_status": "approved", | ||
56 | "created": "2018-07-18T11:14:04.773731", | 55 | "created": "2018-07-18T11:14:04.773731", | ||
57 | "description": "We assess and analyse the state of different | 56 | "description": "We assess and analyse the state of different | ||
58 | habitat types and their ecological changes with a particular focus on | 57 | habitat types and their ecological changes with a particular focus on | ||
59 | the habitats of national importance of Switzerland. We concentrate on | 58 | the habitats of national importance of Switzerland. We concentrate on | ||
60 | ecological changes and their causes in different ecosystems and | 59 | ecological changes and their causes in different ecosystems and | ||
61 | habitat types of Switzerland. We are especially interested in the | 60 | habitat types of Switzerland. We are especially interested in the | ||
62 | effects of different management systems, nutrient input, land-use | 61 | effects of different management systems, nutrient input, land-use | ||
63 | change (e.g. intensification, abandonment), habitat fragmentation as | 62 | change (e.g. intensification, abandonment), habitat fragmentation as | ||
64 | well as climate change on ecosystem state. We base our research on | 63 | well as climate change on ecosystem state. We base our research on | ||
65 | systematically assessed floristic and faunistic biodiversity-data, | 64 | systematically assessed floristic and faunistic biodiversity-data, | ||
66 | modelling and remote sensing information.\r\n\r\nWe strongly engage in | 65 | modelling and remote sensing information.\r\n\r\nWe strongly engage in | ||
67 | the monitoring and evaluation of qualitative and quantitative changes | 66 | the monitoring and evaluation of qualitative and quantitative changes | ||
68 | in natural or semi-natural habitats of Switzerland as a basis for | 67 | in natural or semi-natural habitats of Switzerland as a basis for | ||
69 | decision-making in policy and applied nature conservation. In the | 68 | decision-making in policy and applied nature conservation. In the | ||
70 | project \"Effectiveness of Habitat Protection in Switzerland\", | 69 | project \"Effectiveness of Habitat Protection in Switzerland\", | ||
71 | commissioned by the Federal Office of Environment BAFU, we concentrate | 70 | commissioned by the Federal Office of Environment BAFU, we concentrate | ||
72 | on the habitats of national importance (raised bogs, transitional | 71 | on the habitats of national importance (raised bogs, transitional | ||
73 | mires and fens, dry meadows, alluvial zones and amphibian spawning | 72 | mires and fens, dry meadows, alluvial zones and amphibian spawning | ||
74 | areas), i.e. the \"crown jewelry\" of Swiss nature reserves. Moreover, | 73 | areas), i.e. the \"crown jewelry\" of Swiss nature reserves. Moreover, | ||
75 | we share our knowledge on mire protection through consulting | 74 | we share our knowledge on mire protection through consulting | ||
76 | activities for the national government and the cantons.", | 75 | activities for the national government and the cantons.", | ||
77 | "id": "0ee5727f-9228-464f-b4c2-a7399e702be2", | 76 | "id": "0ee5727f-9228-464f-b4c2-a7399e702be2", | ||
78 | "image_url": | 77 | "image_url": | ||
79 | "https://upload.wikimedia.org/wikipedia/de/9/94/Logo_WSL.svg", | 78 | "https://upload.wikimedia.org/wikipedia/de/9/94/Logo_WSL.svg", | ||
80 | "is_organization": true, | 79 | "is_organization": true, | ||
81 | "name": "ecosystems-dynamics", | 80 | "name": "ecosystems-dynamics", | ||
82 | "state": "active", | 81 | "state": "active", | ||
83 | "title": "Ecosystems Dynamics", | 82 | "title": "Ecosystems Dynamics", | ||
84 | "type": "organization" | 83 | "type": "organization" | ||
85 | }, | 84 | }, | ||
86 | "owner_org": "0ee5727f-9228-464f-b4c2-a7399e702be2", | 85 | "owner_org": "0ee5727f-9228-464f-b4c2-a7399e702be2", | ||
87 | "private": false, | 86 | "private": false, | ||
88 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | 87 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | ||
89 | \"EnviDat\"}", | 88 | \"EnviDat\"}", | ||
90 | "publication_state": "published", | 89 | "publication_state": "published", | ||
91 | "related_datasets": "", | 90 | "related_datasets": "", | ||
92 | "related_publications": "", | 91 | "related_publications": "", | ||
93 | "relationships_as_object": [], | 92 | "relationships_as_object": [], | ||
94 | "relationships_as_subject": [], | 93 | "relationships_as_subject": [], | ||
95 | "resource_type": "dataset", | 94 | "resource_type": "dataset", | ||
96 | "resource_type_general": "dataset", | 95 | "resource_type_general": "dataset", | ||
97 | "resources": [ | 96 | "resources": [ | ||
98 | { | 97 | { | ||
99 | "cache_last_updated": null, | 98 | "cache_last_updated": null, | ||
100 | "cache_url": null, | 99 | "cache_url": null, | ||
101 | "created": "2023-05-11T14:34:56.984148", | 100 | "created": "2023-05-11T14:34:56.984148", | ||
102 | "description": "", | 101 | "description": "", | ||
103 | "doi": "", | 102 | "doi": "", | ||
104 | "format": ".txt", | 103 | "format": ".txt", | ||
105 | "hash": "", | 104 | "hash": "", | ||
106 | "id": "89264e93-545c-4794-b6eb-46247ec92310", | 105 | "id": "89264e93-545c-4794-b6eb-46247ec92310", | ||
107 | "last_modified": "2023-05-11T19:52:19.328575", | 106 | "last_modified": "2023-05-11T19:52:19.328575", | ||
108 | "metadata_modified": "2023-05-11T19:52:19.699973", | 107 | "metadata_modified": "2023-05-11T19:52:19.699973", | ||
109 | "mimetype": null, | 108 | "mimetype": null, | ||
110 | "mimetype_inner": null, | 109 | "mimetype_inner": null, | ||
111 | "name": "input data for r script", | 110 | "name": "input data for r script", | ||
112 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | 111 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | ||
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120 | "size": 23970, | 119 | "size": 23970, | ||
121 | "state": "active", | 120 | "state": "active", | ||
122 | "url": | 121 | "url": | ||
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124 | "url_type": "upload" | 123 | "url_type": "upload" | ||
125 | }, | 124 | }, | ||
126 | { | 125 | { | ||
127 | "cache_last_updated": null, | 126 | "cache_last_updated": null, | ||
128 | "cache_url": null, | 127 | "cache_url": null, | ||
129 | "created": "2023-05-11T14:37:38.630324", | 128 | "created": "2023-05-11T14:37:38.630324", | ||
130 | "description": "", | 129 | "description": "", | ||
131 | "doi": "", | 130 | "doi": "", | ||
132 | "format": ".R", | 131 | "format": ".R", | ||
133 | "hash": "", | 132 | "hash": "", | ||
134 | "id": "2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7", | 133 | "id": "2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7", | ||
135 | "last_modified": "2023-05-12T15:08:04.176867", | 134 | "last_modified": "2023-05-12T15:08:04.176867", | ||
136 | "metadata_modified": "2023-05-12T15:08:04.562533", | 135 | "metadata_modified": "2023-05-12T15:08:04.562533", | ||
137 | "mimetype": null, | 136 | "mimetype": null, | ||
138 | "mimetype_inner": null, | 137 | "mimetype_inner": null, | ||
139 | "name": "R script", | 138 | "name": "R script", | ||
140 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | 139 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | ||
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148 | "size": 8707, | 147 | "size": 8707, | ||
149 | "state": "active", | 148 | "state": "active", | ||
150 | "url": | 149 | "url": | ||
151 | esource/2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7/download/selection_s1.r", | 150 | esource/2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7/download/selection_s1.r", | ||
152 | "url_type": "upload" | 151 | "url_type": "upload" | ||
153 | } | 152 | } | ||
154 | ], | 153 | ], | ||
155 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | 154 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | ||
156 | 45.81802],[5.95587, 47.80838],[10.49203, 47.80838],[10.49203, | 155 | 45.81802],[5.95587, 47.80838],[10.49203, 47.80838],[10.49203, | ||
157 | 45.81802],[5.95587, 45.81802]]]}", | 156 | 45.81802],[5.95587, 45.81802]]]}", | ||
158 | "spatial_info": "Switzerland", | 157 | "spatial_info": "Switzerland", | ||
159 | "state": "active", | 158 | "state": "active", | ||
160 | "subtitle": "", | 159 | "subtitle": "", | ||
161 | "tags": [ | 160 | "tags": [ | ||
162 | { | 161 | { | ||
163 | "display_name": "BALANCED SAMPLING", | 162 | "display_name": "BALANCED SAMPLING", | ||
164 | "id": "64aaea7f-cd25-4c75-a37b-bc4c342510d6", | 163 | "id": "64aaea7f-cd25-4c75-a37b-bc4c342510d6", | ||
165 | "name": "BALANCED SAMPLING", | 164 | "name": "BALANCED SAMPLING", | ||
166 | "state": "active", | 165 | "state": "active", | ||
167 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
168 | }, | 167 | }, | ||
169 | { | 168 | { | ||
170 | "display_name": "HABITAT", | 169 | "display_name": "HABITAT", | ||
171 | "id": "af968922-763a-4f34-b156-a33745dc1852", | 170 | "id": "af968922-763a-4f34-b156-a33745dc1852", | ||
172 | "name": "HABITAT", | 171 | "name": "HABITAT", | ||
173 | "state": "active", | 172 | "state": "active", | ||
174 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
175 | }, | 174 | }, | ||
176 | { | 175 | { | ||
177 | "display_name": "MULTI-STAGE", | 176 | "display_name": "MULTI-STAGE", | ||
178 | "id": "0104f31b-7abc-425e-b5b2-e892c24113a3", | 177 | "id": "0104f31b-7abc-425e-b5b2-e892c24113a3", | ||
179 | "name": "MULTI-STAGE", | 178 | "name": "MULTI-STAGE", | ||
180 | "state": "active", | 179 | "state": "active", | ||
181 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
182 | }, | 181 | }, | ||
183 | { | 182 | { | ||
184 | "display_name": "UNEQUAL PROBABILITY", | 183 | "display_name": "UNEQUAL PROBABILITY", | ||
185 | "id": "ab7374b6-8cb8-4394-b06e-ce172c867317", | 184 | "id": "ab7374b6-8cb8-4394-b06e-ce172c867317", | ||
186 | "name": "UNEQUAL PROBABILITY", | 185 | "name": "UNEQUAL PROBABILITY", | ||
187 | "state": "active", | 186 | "state": "active", | ||
188 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
189 | }, | 188 | }, | ||
190 | { | 189 | { | ||
191 | "display_name": "VEGETATION", | 190 | "display_name": "VEGETATION", | ||
192 | "id": "d2f171f0-87f1-4e4a-aa7d-535d103ce617", | 191 | "id": "d2f171f0-87f1-4e4a-aa7d-535d103ce617", | ||
193 | "name": "VEGETATION", | 192 | "name": "VEGETATION", | ||
194 | "state": "active", | 193 | "state": "active", | ||
195 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
196 | } | 195 | } | ||
197 | ], | 196 | ], | ||
198 | "title": "R script and input data for \"ALL-EMA sampling design\"", | 197 | "title": "R script and input data for \"ALL-EMA sampling design\"", | ||
199 | "type": "dataset", | 198 | "type": "dataset", | ||
200 | "url": null, | 199 | "url": null, | ||
201 | "version": "1.0" | 200 | "version": "1.0" | ||
202 | } | 201 | } |