(Q57014207)

1

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Andrew Townsend Peterson

6

object named as

A. T. Peterson

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author name string

N. E. Zimmermann

2

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C. H. Graham

4

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S. Phillips

Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests

5

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publication date

November 2007

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published in

Ecological Monographs

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volume

77

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issue

4

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page(s)

615-630

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cites work

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Evidence of climatic niche shift during biological invasion.

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Presence-absence versus presence-only modelling methods for predicting bird habitat suitability

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A Simplified Forest Model to Study Species Composition Along Climate Gradients

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A Review of Forest Gap Models

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The hierarchical continuum concept

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Novel methods improve prediction of species’ distributions from occurrence data

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An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data

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New developments in museum-based informatics and applications in biodiversity analysis

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Sensitivity of predictive species distribution models to change in grain size

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Predicting reptile distributions at the mesoscale: relation to climate and topography

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Making better biogeographical predictions of species' distributions

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Predicting species distribution: offering more than simple habitat models

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The effect of sample size and species characteristics on performance of different species distribution modeling methods

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Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees

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Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions

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Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish

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TreeMig: A forest-landscape model for simulating spatio-temporal patterns from stand to landscape scale

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Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning

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Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods

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Predicting extinctions as a result of climate change

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Measuring the accuracy of diagnostic systems

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Evaluating presence-absence models in ecology: the need to account for prevalence

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Effects of sample size on accuracy of species distribution models

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Modelling distribution and abundance with presence-only data

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Constrain to perform: Regularization of habitat models

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A PCA-based modelling technique for predicting environmental suitability for organisms from presence records

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