Comparative interpretation of count, presence-absence and point methods for species distribution models

Mathematics

• Species Distribution 100%
• Poisson Point Process 100%
• Data Point 33%
• Approximates 33%
• Applied Statistics 16%
• Discrete Approximation 16%
• Exponential Function 16%
• Parameter Estimate 16%
• Response Variable 16%
• Linear Predictor 16%
• Covariate 16%
• Linear Function 16%
• Count Data 16%
• Random Point 16%
• intensity function λ 16%
• Logistic Regression 16%
• Regular Point 16%
• Population Distribution 16%
• Integral 16%

Earth and Planetary Sciences

• Environmental Niche Modeling 100%
• Ecological Literature 50%
• Habitat Availability 50%
• Population Distribution 50%

Agricultural and Biological Sciences

• Population Distribution 100%