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Very high resolution interpolated climate surfaces for global land areas.
We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elementsExpand
  • 14,388
  • 2005
Novel methods improve prediction of species' distributions from occurrence data
Prediction of species' distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records inExpand
  • 5,891
  • 424
WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas
We created a new dataset of spatially interpolated monthly climate data for global land areas at a very high spatial resolution (approximately 1 km2). We included monthly temperature (minimum,Expand
  • 1,722
  • 198
Geographic Data Analysis and Modeling
  • 652
  • 105
Computer tools for spatial analysis of plant genetic resources data: 1. DIVA-GIS
Computer tools for spatial analysis of plant genetic resources data: 1. DIVA-GIS The DIVA-GIS software allows analysis of genebank and herbarium databases to elucidate genetic, ecological andExpand
  • 460
  • 98
Effects of sample size on the performance of species distribution models
A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others to predict species ranges from point locality data. Unfortunately, the amount of data available isExpand
  • 1,340
  • 75
Locating Pleistocene Refugia: Comparing Phylogeographic and Ecological Niche Model Predictions
Ecological niche models (ENMs) provide a means of characterizing the spatial distribution of suitable conditions for species, and have recently been applied to the challenge of locating potentialExpand
  • 451
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The point-radius method for georeferencing locality descriptions and calculating associated uncertainty
Natural history museums store millions of specimens of geological, biological, and cultural entities. Data related to these objects are in increasing demand for investigations of biodiversity and itsExpand
  • 268
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Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model.
Species distribution models are usually evaluated with cross-validation. In this procedure evaluation statistics are computed from model predictions for sites of presence and absence that were notExpand
  • 344
  • 25
The ability of climate envelope models to predict the effect of climate change on species distributions
Climate envelope models (CEMs) have been used to predict the distribution of species under current, past, and future climatic conditions by inferring a species’ environmental requirements fromExpand
  • 597
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