Spatially Balanced Sampling with Local Ranking
A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good precision. Spatially balanced designs draw samples with good spatial spread and provide precise results for commonly used estimators when surveying natural...
Gespeichert in:
| Veröffentlicht in: | Journal of agricultural, biological, and environmental statistics biological, and environmental statistics, 2022-12, Vol.27 (4), p.622-639 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 639 |
|---|---|
| container_issue | 4 |
| container_start_page | 622 |
| container_title | Journal of agricultural, biological, and environmental statistics |
| container_volume | 27 |
| creator | Robertson, B. L. Ozturk, O. Kravchuk, O. Brown, J. A. |
| description | A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good precision. Spatially balanced designs draw samples with good spatial spread and provide precise results for commonly used estimators when surveying natural resources. In this article, we propose a new sampling strategy that incorporates ranking information from nearby locations into a spatially balanced sample. If the population exhibits spatial trends, our simple local ranking strategy can improve the precision of commonly used estimators. Numerical results on several test populations with different spatial structures show that local ranking can improve the performance of a spatially balanced design. To show that local ranking is simple and effective in practice, we provide an example application for the health and productivity assessment of a Shiraz vineyard in South Australia.
Supplementary materials accompanying this paper appear online. |
| doi_str_mv | 10.1007/s13253-022-00501-6 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2725633092</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A723031406</galeid><sourcerecordid>A723031406</sourcerecordid><originalsourceid>FETCH-LOGICAL-c436t-27aa6c9ded60400964469a6e4acc8c49b751078c9a722615f226c2378c1afc2a3</originalsourceid><addsrcrecordid>eNp9kF1LwzAUhoMoOKd_wKuCV16kniRtsl7O4cdgIGx6HY5pWju7tiYdun9vZgXZjQSS8PI8J-El5JJBzADUjWeCp4IC5xQgBUblERmxVCjKZSaOwx0mKVWMqVNy5v0agAkJfETiVYd9hXW9i26xxsbYPFrhpqurpow-q_4tWrQG62iJzXuIzslJgbW3F7_nmLzc3z3PHuni6WE-my6oSYTsKVeI0mS5zSUkAJlMEpmhtAkaMzFJ9qpSBmpiMlScS5YWYTdchIRhYTiKMbka5nau_dha3-t1u3VNeFJzxVMpBGQ8UPFAlVhbXTVF2zs0YeV2U5m2sUUV8qniAgRLQAbh-kAITG-_-hK33uv5annI8oE1rvXe2UJ3rtqg22kGel-6HkrXoXT9U7reS2KQfICb0rq_f_9jfQOmx4Cw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2725633092</pqid></control><display><type>article</type><title>Spatially Balanced Sampling with Local Ranking</title><source>SpringerLink Journals - AutoHoldings</source><creator>Robertson, B. L. ; Ozturk, O. ; Kravchuk, O. ; Brown, J. A.</creator><creatorcontrib>Robertson, B. L. ; Ozturk, O. ; Kravchuk, O. ; Brown, J. A.</creatorcontrib><description>A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good precision. Spatially balanced designs draw samples with good spatial spread and provide precise results for commonly used estimators when surveying natural resources. In this article, we propose a new sampling strategy that incorporates ranking information from nearby locations into a spatially balanced sample. If the population exhibits spatial trends, our simple local ranking strategy can improve the precision of commonly used estimators. Numerical results on several test populations with different spatial structures show that local ranking can improve the performance of a spatially balanced design. To show that local ranking is simple and effective in practice, we provide an example application for the health and productivity assessment of a Shiraz vineyard in South Australia.
Supplementary materials accompanying this paper appear online.</description><identifier>ISSN: 1085-7117</identifier><identifier>EISSN: 1537-2693</identifier><identifier>DOI: 10.1007/s13253-022-00501-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Agriculture ; Biostatistics ; Estimators ; Health Sciences ; Mathematics and Statistics ; Medicine ; Monitoring/Environmental Analysis ; Natural resources ; Population studies ; Ranking ; Rankings ; Sampling ; Sampling designs ; Statistics ; Statistics for Life Sciences ; Surveys ; Vineyards ; Wine industry ; Wineries</subject><ispartof>Journal of agricultural, biological, and environmental statistics, 2022-12, Vol.27 (4), p.622-639</ispartof><rights>The Author(s) 2022</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-27aa6c9ded60400964469a6e4acc8c49b751078c9a722615f226c2378c1afc2a3</citedby><cites>FETCH-LOGICAL-c436t-27aa6c9ded60400964469a6e4acc8c49b751078c9a722615f226c2378c1afc2a3</cites><orcidid>0000-0002-2077-907X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13253-022-00501-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13253-022-00501-6$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Robertson, B. L.</creatorcontrib><creatorcontrib>Ozturk, O.</creatorcontrib><creatorcontrib>Kravchuk, O.</creatorcontrib><creatorcontrib>Brown, J. A.</creatorcontrib><title>Spatially Balanced Sampling with Local Ranking</title><title>Journal of agricultural, biological, and environmental statistics</title><addtitle>JABES</addtitle><description>A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good precision. Spatially balanced designs draw samples with good spatial spread and provide precise results for commonly used estimators when surveying natural resources. In this article, we propose a new sampling strategy that incorporates ranking information from nearby locations into a spatially balanced sample. If the population exhibits spatial trends, our simple local ranking strategy can improve the precision of commonly used estimators. Numerical results on several test populations with different spatial structures show that local ranking can improve the performance of a spatially balanced design. To show that local ranking is simple and effective in practice, we provide an example application for the health and productivity assessment of a Shiraz vineyard in South Australia.
Supplementary materials accompanying this paper appear online.</description><subject>Agriculture</subject><subject>Biostatistics</subject><subject>Estimators</subject><subject>Health Sciences</subject><subject>Mathematics and Statistics</subject><subject>Medicine</subject><subject>Monitoring/Environmental Analysis</subject><subject>Natural resources</subject><subject>Population studies</subject><subject>Ranking</subject><subject>Rankings</subject><subject>Sampling</subject><subject>Sampling designs</subject><subject>Statistics</subject><subject>Statistics for Life Sciences</subject><subject>Surveys</subject><subject>Vineyards</subject><subject>Wine industry</subject><subject>Wineries</subject><issn>1085-7117</issn><issn>1537-2693</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kF1LwzAUhoMoOKd_wKuCV16kniRtsl7O4cdgIGx6HY5pWju7tiYdun9vZgXZjQSS8PI8J-El5JJBzADUjWeCp4IC5xQgBUblERmxVCjKZSaOwx0mKVWMqVNy5v0agAkJfETiVYd9hXW9i26xxsbYPFrhpqurpow-q_4tWrQG62iJzXuIzslJgbW3F7_nmLzc3z3PHuni6WE-my6oSYTsKVeI0mS5zSUkAJlMEpmhtAkaMzFJ9qpSBmpiMlScS5YWYTdchIRhYTiKMbka5nau_dha3-t1u3VNeFJzxVMpBGQ8UPFAlVhbXTVF2zs0YeV2U5m2sUUV8qniAgRLQAbh-kAITG-_-hK33uv5annI8oE1rvXe2UJ3rtqg22kGel-6HkrXoXT9U7reS2KQfICb0rq_f_9jfQOmx4Cw</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Robertson, B. L.</creator><creator>Ozturk, O.</creator><creator>Kravchuk, O.</creator><creator>Brown, J. A.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><orcidid>https://orcid.org/0000-0002-2077-907X</orcidid></search><sort><creationdate>20221201</creationdate><title>Spatially Balanced Sampling with Local Ranking</title><author>Robertson, B. L. ; Ozturk, O. ; Kravchuk, O. ; Brown, J. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-27aa6c9ded60400964469a6e4acc8c49b751078c9a722615f226c2378c1afc2a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agriculture</topic><topic>Biostatistics</topic><topic>Estimators</topic><topic>Health Sciences</topic><topic>Mathematics and Statistics</topic><topic>Medicine</topic><topic>Monitoring/Environmental Analysis</topic><topic>Natural resources</topic><topic>Population studies</topic><topic>Ranking</topic><topic>Rankings</topic><topic>Sampling</topic><topic>Sampling designs</topic><topic>Statistics</topic><topic>Statistics for Life Sciences</topic><topic>Surveys</topic><topic>Vineyards</topic><topic>Wine industry</topic><topic>Wineries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Robertson, B. L.</creatorcontrib><creatorcontrib>Ozturk, O.</creatorcontrib><creatorcontrib>Kravchuk, O.</creatorcontrib><creatorcontrib>Brown, J. A.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><jtitle>Journal of agricultural, biological, and environmental statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Robertson, B. L.</au><au>Ozturk, O.</au><au>Kravchuk, O.</au><au>Brown, J. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatially Balanced Sampling with Local Ranking</atitle><jtitle>Journal of agricultural, biological, and environmental statistics</jtitle><stitle>JABES</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>27</volume><issue>4</issue><spage>622</spage><epage>639</epage><pages>622-639</pages><issn>1085-7117</issn><eissn>1537-2693</eissn><abstract>A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good precision. Spatially balanced designs draw samples with good spatial spread and provide precise results for commonly used estimators when surveying natural resources. In this article, we propose a new sampling strategy that incorporates ranking information from nearby locations into a spatially balanced sample. If the population exhibits spatial trends, our simple local ranking strategy can improve the precision of commonly used estimators. Numerical results on several test populations with different spatial structures show that local ranking can improve the performance of a spatially balanced design. To show that local ranking is simple and effective in practice, we provide an example application for the health and productivity assessment of a Shiraz vineyard in South Australia.
Supplementary materials accompanying this paper appear online.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s13253-022-00501-6</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-2077-907X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1085-7117 |
| ispartof | Journal of agricultural, biological, and environmental statistics, 2022-12, Vol.27 (4), p.622-639 |
| issn | 1085-7117 1537-2693 |
| language | eng |
| recordid | cdi_proquest_journals_2725633092 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Agriculture Biostatistics Estimators Health Sciences Mathematics and Statistics Medicine Monitoring/Environmental Analysis Natural resources Population studies Ranking Rankings Sampling Sampling designs Statistics Statistics for Life Sciences Surveys Vineyards Wine industry Wineries |
| title | Spatially Balanced Sampling with Local Ranking |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T02%3A18%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatially%20Balanced%20Sampling%20with%20Local%20Ranking&rft.jtitle=Journal%20of%20agricultural,%20biological,%20and%20environmental%20statistics&rft.au=Robertson,%20B.%20L.&rft.date=2022-12-01&rft.volume=27&rft.issue=4&rft.spage=622&rft.epage=639&rft.pages=622-639&rft.issn=1085-7117&rft.eissn=1537-2693&rft_id=info:doi/10.1007/s13253-022-00501-6&rft_dat=%3Cgale_proqu%3EA723031406%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2725633092&rft_id=info:pmid/&rft_galeid=A723031406&rfr_iscdi=true |