A Test of Cluster Sampling in Forest Inventories
During a recent pilot survey in Newfoundland, forest data were collected using a stratified, one-stage cluster-sampling design. The data were analyzed to determine if, within the stratified framework, cluster sampling would be more efficient than simple random sampling. Each cluster consisted of fiv...
Published in: | Canadian Journal of Forest Research |
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Language: | English |
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Canadian Science Publishing
1975
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Online Access: | http://dx.doi.org/10.1139/x75-035 http://www.nrcresearchpress.com/doi/pdf/10.1139/x75-035 |
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crcansciencepubl:10.1139/x75-035 2023-12-17T10:44:50+01:00 A Test of Cluster Sampling in Forest Inventories Bonnor, G. M. 1975 http://dx.doi.org/10.1139/x75-035 http://www.nrcresearchpress.com/doi/pdf/10.1139/x75-035 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Forest Research volume 5, issue 2, page 269-272 ISSN 0045-5067 1208-6037 Ecology Forestry Global and Planetary Change journal-article 1975 crcansciencepubl https://doi.org/10.1139/x75-035 2023-11-19T13:38:30Z During a recent pilot survey in Newfoundland, forest data were collected using a stratified, one-stage cluster-sampling design. The data were analyzed to determine if, within the stratified framework, cluster sampling would be more efficient than simple random sampling. Each cluster consisted of five point-samples located in a straight line. For the analysis, volume and variance estimates were determined from clusters of 1,2,3,4 and 5 points. During the survey, records were kept of the time required to complete various field-sampling tasks. These were used in lieu of cost data in the analysis. Results indicated that, for the given conditions, simple random sampling was more efficient than cluster sampling. However, relatively small changes in the conditions would make cluster sampling more efficient. Article in Journal/Newspaper Newfoundland Canadian Science Publishing (via Crossref) Canadian Journal of Forest Research 5 2 269 272 |
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Open Polar |
collection |
Canadian Science Publishing (via Crossref) |
op_collection_id |
crcansciencepubl |
language |
English |
topic |
Ecology Forestry Global and Planetary Change |
spellingShingle |
Ecology Forestry Global and Planetary Change Bonnor, G. M. A Test of Cluster Sampling in Forest Inventories |
topic_facet |
Ecology Forestry Global and Planetary Change |
description |
During a recent pilot survey in Newfoundland, forest data were collected using a stratified, one-stage cluster-sampling design. The data were analyzed to determine if, within the stratified framework, cluster sampling would be more efficient than simple random sampling. Each cluster consisted of five point-samples located in a straight line. For the analysis, volume and variance estimates were determined from clusters of 1,2,3,4 and 5 points. During the survey, records were kept of the time required to complete various field-sampling tasks. These were used in lieu of cost data in the analysis. Results indicated that, for the given conditions, simple random sampling was more efficient than cluster sampling. However, relatively small changes in the conditions would make cluster sampling more efficient. |
format |
Article in Journal/Newspaper |
author |
Bonnor, G. M. |
author_facet |
Bonnor, G. M. |
author_sort |
Bonnor, G. M. |
title |
A Test of Cluster Sampling in Forest Inventories |
title_short |
A Test of Cluster Sampling in Forest Inventories |
title_full |
A Test of Cluster Sampling in Forest Inventories |
title_fullStr |
A Test of Cluster Sampling in Forest Inventories |
title_full_unstemmed |
A Test of Cluster Sampling in Forest Inventories |
title_sort |
test of cluster sampling in forest inventories |
publisher |
Canadian Science Publishing |
publishDate |
1975 |
url |
http://dx.doi.org/10.1139/x75-035 http://www.nrcresearchpress.com/doi/pdf/10.1139/x75-035 |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_source |
Canadian Journal of Forest Research volume 5, issue 2, page 269-272 ISSN 0045-5067 1208-6037 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/x75-035 |
container_title |
Canadian Journal of Forest Research |
container_volume |
5 |
container_issue |
2 |
container_start_page |
269 |
op_container_end_page |
272 |
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1785564115922583552 |