Changes
On May 14, 2023 at 10:53:06 AM UTC, 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.
toLicense: 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.
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": "2023-05-14T10:32:03.591741", | n | 29 | "metadata_modified": "2023-05-14T10:53:05.967575", |
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 demonstrates the | 31 | "notes": "License: GPL-v2\r\n\r\nThe R script demonstrates the | ||
32 | first-stage selection of squares (km2) in the ALL-EMA sampling design | 32 | first-stage selection of squares (km2) in the ALL-EMA sampling design | ||
33 | using modern sampling techniques such as unequal probability sampling | 33 | using modern sampling techniques such as unequal probability sampling | ||
34 | with fixed sample size, balanced sampling, stratified balancing and | 34 | with fixed sample size, balanced sampling, stratified balancing and | ||
t | 35 | geographic spreading. Sampling is done using unequal probabilites with | t | 35 | geographic spreading. The sampling is done with unequal probabilites |
36 | weights defined by power allocation to give equal weight to | 36 | and weights defined by power allocation to give equal weight to | ||
37 | extrapolations to the total agricultural area of Switzerland and to | 37 | extrapolations to the total agricultural area of Switzerland and two | ||
38 | predefined target regions and landscape types (i.e. agricultural | 38 | stratifications of predefined interest (regions and agricultural | ||
39 | production zones). The final samples are also well distributed across | 39 | production zones). The sample sizes are nearly fixed within strata and | ||
40 | geographic space, including altitude.\r\n\r\nEcker, K., Meier, E. & | 40 | a predifined temporal rotation, which is convenient for convenient for | ||
41 | the organisation of the field work. Sampling also ensures an optimal | ||||
42 | distribution across geographic space, including altitude. Despite the | ||||
43 | complexity of the sampling, estimation based on the probability of the | ||||
44 | sampling is straightforward.\r\n\r\nEcker, K., Meier, E. & Till\u00e9, | ||||
41 | Till\u00e9, Y. review. Integrating spatial and ecological information | 45 | Y. review. Integrating spatial and ecological information into | ||
42 | into comprehensive biodiversity monitoring on agricultural land. | 46 | comprehensive biodiversity monitoring on agricultural land. | ||
43 | Environmental Monitoring and Assessment.\r\n", | 47 | Environmental Monitoring and Assessment.\r\n", | ||
44 | "num_resources": 2, | 48 | "num_resources": 2, | ||
45 | "num_tags": 5, | 49 | "num_tags": 5, | ||
46 | "organization": { | 50 | "organization": { | ||
47 | "approval_status": "approved", | 51 | "approval_status": "approved", | ||
48 | "created": "2018-07-18T11:14:04.773731", | 52 | "created": "2018-07-18T11:14:04.773731", | ||
49 | "description": "We assess and analyse the state of different | 53 | "description": "We assess and analyse the state of different | ||
50 | habitat types and their ecological changes with a particular focus on | 54 | habitat types and their ecological changes with a particular focus on | ||
51 | the habitats of national importance of Switzerland. We concentrate on | 55 | the habitats of national importance of Switzerland. We concentrate on | ||
52 | ecological changes and their causes in different ecosystems and | 56 | ecological changes and their causes in different ecosystems and | ||
53 | habitat types of Switzerland. We are especially interested in the | 57 | habitat types of Switzerland. We are especially interested in the | ||
54 | effects of different management systems, nutrient input, land-use | 58 | effects of different management systems, nutrient input, land-use | ||
55 | change (e.g. intensification, abandonment), habitat fragmentation as | 59 | change (e.g. intensification, abandonment), habitat fragmentation as | ||
56 | well as climate change on ecosystem state. We base our research on | 60 | well as climate change on ecosystem state. We base our research on | ||
57 | systematically assessed floristic and faunistic biodiversity-data, | 61 | systematically assessed floristic and faunistic biodiversity-data, | ||
58 | modelling and remote sensing information.\r\n\r\nWe strongly engage in | 62 | modelling and remote sensing information.\r\n\r\nWe strongly engage in | ||
59 | the monitoring and evaluation of qualitative and quantitative changes | 63 | the monitoring and evaluation of qualitative and quantitative changes | ||
60 | in natural or semi-natural habitats of Switzerland as a basis for | 64 | in natural or semi-natural habitats of Switzerland as a basis for | ||
61 | decision-making in policy and applied nature conservation. In the | 65 | decision-making in policy and applied nature conservation. In the | ||
62 | project \"Effectiveness of Habitat Protection in Switzerland\", | 66 | project \"Effectiveness of Habitat Protection in Switzerland\", | ||
63 | commissioned by the Federal Office of Environment BAFU, we concentrate | 67 | commissioned by the Federal Office of Environment BAFU, we concentrate | ||
64 | on the habitats of national importance (raised bogs, transitional | 68 | on the habitats of national importance (raised bogs, transitional | ||
65 | mires and fens, dry meadows, alluvial zones and amphibian spawning | 69 | mires and fens, dry meadows, alluvial zones and amphibian spawning | ||
66 | areas), i.e. the \"crown jewelry\" of Swiss nature reserves. Moreover, | 70 | areas), i.e. the \"crown jewelry\" of Swiss nature reserves. Moreover, | ||
67 | we share our knowledge on mire protection through consulting | 71 | we share our knowledge on mire protection through consulting | ||
68 | activities for the national government and the cantons.", | 72 | activities for the national government and the cantons.", | ||
69 | "id": "0ee5727f-9228-464f-b4c2-a7399e702be2", | 73 | "id": "0ee5727f-9228-464f-b4c2-a7399e702be2", | ||
70 | "image_url": | 74 | "image_url": | ||
71 | "https://upload.wikimedia.org/wikipedia/de/9/94/Logo_WSL.svg", | 75 | "https://upload.wikimedia.org/wikipedia/de/9/94/Logo_WSL.svg", | ||
72 | "is_organization": true, | 76 | "is_organization": true, | ||
73 | "name": "ecosystems-dynamics", | 77 | "name": "ecosystems-dynamics", | ||
74 | "state": "active", | 78 | "state": "active", | ||
75 | "title": "Ecosystems Dynamics", | 79 | "title": "Ecosystems Dynamics", | ||
76 | "type": "organization" | 80 | "type": "organization" | ||
77 | }, | 81 | }, | ||
78 | "owner_org": "0ee5727f-9228-464f-b4c2-a7399e702be2", | 82 | "owner_org": "0ee5727f-9228-464f-b4c2-a7399e702be2", | ||
79 | "private": false, | 83 | "private": false, | ||
80 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | 84 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | ||
81 | \"EnviDat\"}", | 85 | \"EnviDat\"}", | ||
82 | "publication_state": "published", | 86 | "publication_state": "published", | ||
83 | "related_datasets": "", | 87 | "related_datasets": "", | ||
84 | "related_publications": "", | 88 | "related_publications": "", | ||
85 | "relationships_as_object": [], | 89 | "relationships_as_object": [], | ||
86 | "relationships_as_subject": [], | 90 | "relationships_as_subject": [], | ||
87 | "resource_type": "dataset", | 91 | "resource_type": "dataset", | ||
88 | "resource_type_general": "dataset", | 92 | "resource_type_general": "dataset", | ||
89 | "resources": [ | 93 | "resources": [ | ||
90 | { | 94 | { | ||
91 | "cache_last_updated": null, | 95 | "cache_last_updated": null, | ||
92 | "cache_url": null, | 96 | "cache_url": null, | ||
93 | "created": "2023-05-11T14:34:56.984148", | 97 | "created": "2023-05-11T14:34:56.984148", | ||
94 | "description": "", | 98 | "description": "", | ||
95 | "doi": "", | 99 | "doi": "", | ||
96 | "format": ".txt", | 100 | "format": ".txt", | ||
97 | "hash": "", | 101 | "hash": "", | ||
98 | "id": "89264e93-545c-4794-b6eb-46247ec92310", | 102 | "id": "89264e93-545c-4794-b6eb-46247ec92310", | ||
99 | "last_modified": "2023-05-11T19:52:19.328575", | 103 | "last_modified": "2023-05-11T19:52:19.328575", | ||
100 | "metadata_modified": "2023-05-11T19:52:19.699973", | 104 | "metadata_modified": "2023-05-11T19:52:19.699973", | ||
101 | "mimetype": null, | 105 | "mimetype": null, | ||
102 | "mimetype_inner": null, | 106 | "mimetype_inner": null, | ||
103 | "name": "input data for r script", | 107 | "name": "input data for r script", | ||
104 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | 108 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | ||
105 | "position": 0, | 109 | "position": 0, | ||
106 | "publication_state": "", | 110 | "publication_state": "", | ||
107 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 111 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
108 | \"kb\"}", | 112 | \"kb\"}", | ||
109 | "resource_type": null, | 113 | "resource_type": null, | ||
110 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 114 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
111 | \"shared_secret\": \"\"}", | 115 | \"shared_secret\": \"\"}", | ||
112 | "size": 23970, | 116 | "size": 23970, | ||
113 | "state": "active", | 117 | "state": "active", | ||
114 | "url": | 118 | "url": | ||
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116 | "url_type": "upload" | 120 | "url_type": "upload" | ||
117 | }, | 121 | }, | ||
118 | { | 122 | { | ||
119 | "cache_last_updated": null, | 123 | "cache_last_updated": null, | ||
120 | "cache_url": null, | 124 | "cache_url": null, | ||
121 | "created": "2023-05-11T14:37:38.630324", | 125 | "created": "2023-05-11T14:37:38.630324", | ||
122 | "description": "", | 126 | "description": "", | ||
123 | "doi": "", | 127 | "doi": "", | ||
124 | "format": ".R", | 128 | "format": ".R", | ||
125 | "hash": "", | 129 | "hash": "", | ||
126 | "id": "2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7", | 130 | "id": "2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7", | ||
127 | "last_modified": "2023-05-12T15:08:04.176867", | 131 | "last_modified": "2023-05-12T15:08:04.176867", | ||
128 | "metadata_modified": "2023-05-12T15:08:04.562533", | 132 | "metadata_modified": "2023-05-12T15:08:04.562533", | ||
129 | "mimetype": null, | 133 | "mimetype": null, | ||
130 | "mimetype_inner": null, | 134 | "mimetype_inner": null, | ||
131 | "name": "R script", | 135 | "name": "R script", | ||
132 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | 136 | "package_id": "0b303fb7-17fc-4910-af8f-dbee54c0d093", | ||
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138 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 142 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
139 | \"shared_secret\": \"\"}", | 143 | \"shared_secret\": \"\"}", | ||
140 | "size": 8707, | 144 | "size": 8707, | ||
141 | "state": "active", | 145 | "state": "active", | ||
142 | "url": | 146 | "url": | ||
143 | esource/2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7/download/selection_s1.r", | 147 | esource/2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7/download/selection_s1.r", | ||
144 | "url_type": "upload" | 148 | "url_type": "upload" | ||
145 | } | 149 | } | ||
146 | ], | 150 | ], | ||
147 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | 151 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | ||
148 | 45.81802],[5.95587, 47.80838],[10.49203, 47.80838],[10.49203, | 152 | 45.81802],[5.95587, 47.80838],[10.49203, 47.80838],[10.49203, | ||
149 | 45.81802],[5.95587, 45.81802]]]}", | 153 | 45.81802],[5.95587, 45.81802]]]}", | ||
150 | "spatial_info": "Switzerland", | 154 | "spatial_info": "Switzerland", | ||
151 | "state": "active", | 155 | "state": "active", | ||
152 | "subtitle": "", | 156 | "subtitle": "", | ||
153 | "tags": [ | 157 | "tags": [ | ||
154 | { | 158 | { | ||
155 | "display_name": "BALANCED SAMPLING", | 159 | "display_name": "BALANCED SAMPLING", | ||
156 | "id": "64aaea7f-cd25-4c75-a37b-bc4c342510d6", | 160 | "id": "64aaea7f-cd25-4c75-a37b-bc4c342510d6", | ||
157 | "name": "BALANCED SAMPLING", | 161 | "name": "BALANCED SAMPLING", | ||
158 | "state": "active", | 162 | "state": "active", | ||
159 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
160 | }, | 164 | }, | ||
161 | { | 165 | { | ||
162 | "display_name": "HABITAT", | 166 | "display_name": "HABITAT", | ||
163 | "id": "af968922-763a-4f34-b156-a33745dc1852", | 167 | "id": "af968922-763a-4f34-b156-a33745dc1852", | ||
164 | "name": "HABITAT", | 168 | "name": "HABITAT", | ||
165 | "state": "active", | 169 | "state": "active", | ||
166 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
167 | }, | 171 | }, | ||
168 | { | 172 | { | ||
169 | "display_name": "MULTI-STAGE", | 173 | "display_name": "MULTI-STAGE", | ||
170 | "id": "0104f31b-7abc-425e-b5b2-e892c24113a3", | 174 | "id": "0104f31b-7abc-425e-b5b2-e892c24113a3", | ||
171 | "name": "MULTI-STAGE", | 175 | "name": "MULTI-STAGE", | ||
172 | "state": "active", | 176 | "state": "active", | ||
173 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
174 | }, | 178 | }, | ||
175 | { | 179 | { | ||
176 | "display_name": "UNEQUAL PROBABILITY", | 180 | "display_name": "UNEQUAL PROBABILITY", | ||
177 | "id": "ab7374b6-8cb8-4394-b06e-ce172c867317", | 181 | "id": "ab7374b6-8cb8-4394-b06e-ce172c867317", | ||
178 | "name": "UNEQUAL PROBABILITY", | 182 | "name": "UNEQUAL PROBABILITY", | ||
179 | "state": "active", | 183 | "state": "active", | ||
180 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
181 | }, | 185 | }, | ||
182 | { | 186 | { | ||
183 | "display_name": "VEGETATION", | 187 | "display_name": "VEGETATION", | ||
184 | "id": "d2f171f0-87f1-4e4a-aa7d-535d103ce617", | 188 | "id": "d2f171f0-87f1-4e4a-aa7d-535d103ce617", | ||
185 | "name": "VEGETATION", | 189 | "name": "VEGETATION", | ||
186 | "state": "active", | 190 | "state": "active", | ||
187 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
188 | } | 192 | } | ||
189 | ], | 193 | ], | ||
190 | "title": "R script and input data for \"ALL-EMA sampling design\"", | 194 | "title": "R script and input data for \"ALL-EMA sampling design\"", | ||
191 | "type": "dataset", | 195 | "type": "dataset", | ||
192 | "url": null, | 196 | "url": null, | ||
193 | "version": "1.0" | 197 | "version": "1.0" | ||
194 | } | 198 | } |