Species distribution modelling

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Niche models (correlative)

Machine learning Maximum entropy BIOCLIM DOMAIN Ecological niche factor analysis

21 related topics

History

A. F. W. Schimper Andrew Murray Robert Whittaker's Robert MacArthur's Generalised linear models

7 related topics

Correlative vs mechanistic models

Fundamental niche Micro-climate Population dynamics

3 related topics

Niche modelling software (correlative)

DIVA-GIS Climate change Wayback Machine

3 related topics

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Overview

History

A. F. W. Schimper Andreas Franz Wilhelm Schimper
Andrew Murray Andrew Murray (naturalist)
Robert Whittaker's Robert Whittaker (ecologist)
Robert MacArthur's Robert H. MacArthur
Generalised linear models Generalised linear model
Remote sensing
GIS-based Geographical information systems

Correlative vs mechanistic models

Niche models (correlative)

Machine learning
Maximum entropy Principle of maximum entropy
BIOCLIM BIOCLIM?action=edit&redlink=1
DOMAIN DOMAIN?action=edit&redlink=1
Ecological niche factor analysis Ecological niche factor analysis?action=edit&redlink=1
Mahalanobis distance
Isodar analysis Isodar
Generalized linear model
Generalized additive model
Multivariate adaptive regression splines
Maxlike Maxlike?action=edit&redlink=1
Favourability Function Favourability Function?action=edit&redlink=1
MAXENT
Artificial neural networks
Genetic Algorithm for Rule Set Production
Boosted regression trees Boosted regression trees?action=edit&redlink=1
Random forest
Support vector machines
XGBoost
Ensemble models Ensemble models?action=edit&redlink=1
Consensus models Consensus models?action=edit&redlink=1

Niche modelling software (correlative)

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Nodes51

Edges50

Triples40

Avg. degree1.96

Density0.039216

Components1

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Species distribution modelling

Top relations

related to history · 16

Species distribution modelling → Andrew Murray, Box, Elgene, GIS-based, GLMs, Grundlage, His, Mammals, Pflanzengeographie, Physiological Basis, Plant Geography Upon, Robert MacArthur's, Robert Whittaker's, Schimper, The, The Geographical Distribution

Important terminology Word statistics

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Important terminology

species models environmental sdms distribution used climate model niche data correlative also ecological mechanistic modelling environment conservation conditions may change

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
soil type	instance of	but can include other variables	0.80	text
water depth	instance of	but can include other variables	0.80	text
and land cover	instance of	but can include other variables	0.80	text
barriers to dispersal	instance of	and the influence of various factors	0.80	text
geologic history	instance of	and the influence of various factors	0.80	text
or biotic interactions	instance of	and the influence of various factors	0.80	text
that increase the difference between the realized niche	instance of	and the influence of various factors	0.80	text
the fundamental niche	instance of	and the influence of various factors	0.80	text
conservation planning.Mechanistic SDMsMechanistic SDMs are more recently developed	instance of	These can be important for decision-making	0.80	text
conservation planning	instance of	These can be important for decision-making	0.80	text
BIOCLIM	instance of	which are simple statistical techniques that use e.g. environmental distance to known sites of occurrence	0.80	text
DOMAIN	instance of	which are simple statistical techniques that use e.g. environmental distance to known sites of occurrence	0.80	text

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Research this topic

Explore this topic

Niche models (correlative)

History

Correlative vs mechanistic models

Niche modelling software (correlative)

Key facts & relationships

Topics to explore

Overview

History

Correlative vs mechanistic models

Niche models (correlative)

Niche modelling software (correlative)

Advanced semantic analysis

Map overview Semantic statistics

Species distribution modelling

How this topic connects Entity context

Species distribution modelling

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges