Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F18%3A00101731" target="_blank" >RIV/00216224:14310/18:00101731 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-67831-3_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67831-3_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67831-3_3" target="_blank" >10.1007/978-3-319-67831-3_3</a>
Alternative languages
Result language
angličtina
Original language name
Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data
Original language description
In this chapter, we test whether the structural completeness (data stratified into structural layers-tree, shrub, herbaceous, epiphytes) in species-rich subtropical forests impacts on classification outcome. We manipulated a well-structured (multi-layered) data set by successive removing structural layers. We have found that the herbaceous layer (E1) and the epiphytic synusia (E0) do not play an important role in classification of the subtropical forests. Besides obligatory sampling the tree layer, it appears that sampling the complete shrub layers (E2 alpha and E2 beta) layers is crucial, both for classification as well as for production of functional expert system.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10611 - Plant sciences, botany
Result continuities
Project
<a href="/en/project/GA17-15168S" target="_blank" >GA17-15168S: Next generation expert systems for vegetation classification on a continental scale</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data
ISBN
9783319678313
Number of pages of the result
11
Pages from-to
47-57
Number of pages of the book
236
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
SWITZERLAND
UT code for WoS chapter
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