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@inbook{1501575, author = {Mucina, Ladislav and Tichý, Lubomír}, address = {SWITZERLAND}, booktitle = {Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data}, doi = {http://dx.doi.org/10.1007/978-3-319-67831-3_3}, editor = {Mucina Ladislav}, keywords = {DIGITAL ELEVATION MODELS; LAND COMPONENTS; CLASSIFICATION; FIDELITY; COMMUNITIES; UNITS}, howpublished = {tištěná verze "print"}, language = {eng}, location = {SWITZERLAND}, isbn = {978-3-319-67831-3}, pages = {47-57}, publisher = {SPRINGER INTERNATIONAL PUBLISHING AG}, title = {Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data}, year = {2018} }
TY - CHAP ID - 1501575 AU - Mucina, Ladislav - Tichý, Lubomír PY - 2018 TI - Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data VL - Geobotany Studies PB - SPRINGER INTERNATIONAL PUBLISHING AG CY - SWITZERLAND SN - 9783319678313 KW - DIGITAL ELEVATION MODELS KW - LAND COMPONENTS KW - CLASSIFICATION KW - FIDELITY KW - COMMUNITIES KW - UNITS N2 - 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. ER -
MUCINA, Ladislav a Lubomír TICHÝ. Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data. In Mucina Ladislav. \textit{Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data}. SWITZERLAND: SPRINGER INTERNATIONAL PUBLISHING AG, 2018, s.~47-57. Geobotany Studies. ISBN~978-3-319-67831-3. Dostupné z: https://dx.doi.org/10.1007/978-3-319-67831-3\_{}3.
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