Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling

Agriculture & Biology

• autocorrelation 100%
• uncertainty 82%
• geographical distribution 66%
• prediction 25%
• standard deviation 21%
• scenario uncertainty 16%
• forest genetics 11%
• entropy 8%
• linear models 7%
• testing 2%
• sampling 2%
• methodology 2%

Earth & Environmental Sciences

• autocorrelation 79%
• modeling 34%
• distribution 29%
• species occurrence 26%
• prediction 17%
• environmental gradient 7%
• genetic algorithm 6%
• entropy 6%
• simulation 3%
• test 2%
• method 1%