Relative density of finds for assessing similarity-based maps of orchid occurrence

Ecological Modelling

Volumn 220, Issue 3, 2009, Pages 294-309

  Remm, Kalle ^a   Linder, Madli ^a   Remm, Liina ^a  

^a UNIVERSITY OF TARTU   (Estonia)

Author keywords

Orchids; Predictive distribution mapping; Remote sensing; Similarity based reasoning; Usefulness ratio

Indexed keywords

FORECASTING; LEARNING SYSTEMS; LOCATION; OPTICAL PROJECTORS; RELIABILITY; REMOTE SENSING;

ESTONIA; MACHINE LEARNING SYSTEMS; NATIONAL DATABASES; ORCHIDS; PREDICTIVE DISTRIBUTION MAPPING; PREDICTIVE MAPPINGS; RELATIVE DENSITIES; REPRESENTATIVITY; SENSING FEATURES; SIMILARITY-BASED REASONING; STUDY AREAS; TRAINING DATUMS; USEFULNESS RATIO; VERIFICATION DATUMS;

CONFORMAL MAPPING;

FIELDWORK; MONOCOTYLEDON; POPULATION DENSITY; PREDICTION; REMOTE SENSING; SPECIES OCCURRENCE;

BALTIC STATES; ESTONIA; EURASIA; EUROPE; NORTHERN EUROPE;

DACTYLORHIZA INCARNATA; EPIPACTIS PALUSTRIS; GOODYERA REPENS; ORCHIDACEAE;

EID: 58149352285     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2008.10.017     Document Type: Article

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