| 1. | Title | ##plugins.generic.mcfnsReadingTools.titleLabel## | Nearest-tree and Variable Polygon Sampling |
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| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Kim Iles; Kim Iles & Associates Ltd.; Ηνωμένες Πολιτείες |
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| 3. | Subject | ##plugins.generic.mcfnsReadingTools.keywords## | n-tree sampling; nearest tree; Voronoi polygons; unbiased estimates |
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| 3. | Subject | ##plugins.generic.mcfnsReadingTools.disciplines## | Mensuration; sampling |
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| 4. | Description | ##plugins.generic.mcfnsReadingTools.abstract## | Sampling a nearest neighbor is often presented as a Hansen-Hurwitz or Horvitz-Thompsonestimation process. This may not be the most informative viewpoint, and measuring the probability ofselection is not necessary. The measurement of the nearest object as a “depth” over the selection area canbe done by a sampling process, and the total estimated without knowing the polygon areas. The process isunbiased, quite general, and easy to understand. It can be extended to more than just the nearest objectto a sample point and to many different polygon shapes. This paper is an extension, simplification andgeneralization of an earlier paper in this journal (Iles, K. 2009. “Nearest-tree” estimations—A discussionof their geometry, MCFNS 1(2), pp. 47–51.), but does not require a random orientation or weighting forthe direction of measurement from the tree to the polygon border. |
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| 5. | Publisher | ##plugins.generic.mcfnsReadingTools.publisher## | Contemporary Journal Concept Press |
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| 6. | Contributor | ##plugins.generic.mcfnsReadingTools.contributors## | |
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| 7. | Date | ##plugins.generic.mcfnsReadingTools.date## | 2023-04-30 |
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| 8. | Type | ##plugins.generic.mcfnsReadingTools.type## | Text.Serial.Journal; Analytical |
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| 9. | Format | ##plugins.generic.mcfnsReadingTools.format## | PDF (Αγγλικά); application/pdf |
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| 10. | Identifier | ##plugins.generic.mcfnsReadingTools.identifier## | https://mcfns.com/index.php/Journal/el/article/view/15.1 |
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| 11. | Source | ##plugins.generic.mcfnsReadingTools.source## | Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Τόμ. 15 Αρ. 1: MCFNS April 30, 2023; 1-7 (7) |
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| 11. | Source | ##plugins.generic.mcfnsReadingTools.onlineIssn## | 1946-7664 |
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| 12. | Language | ##plugins.generic.mcfnsReadingTools.language## | en |
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| 13. | Relation | ##plugins.generic.mcfnsReadingTools.suppFiles## | |
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| 14. | Coverage | ##plugins.generic.mcfnsReadingTools.coverageGeo## | |
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| 15. | Rights | ##plugins.generic.mcfnsReadingTools.rights## | Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) 2023 |
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