Modelling Habitat Preferences, Species Correlations and Estimating Species Richness of Mammals from Camera Trap data
Hi,
For camera trap data analysis, you can use ordination techniques like PCA or NMDS, and models such as GLMs. Software options include R and SPSS.
Habitat Preference Modeling: Generalized Linear Models (GLMs) & Resource Selection Functions (RSFs)
Species Correlation Modeling: Correlation Analysis & Multivariate Statistical Methods like Principal Component Analysis (PCA)
Estimating Species Richness: Species Accumulation Curves & Rarefaction Analysis
Software for Analysis: R & SPSS
Also, the choice of methods and software depends on the specific goals of your study, the complexity of your data, and the resources available.
See:
Book Camera traps in animal ecology: Methods and analyses
Article Estimating Species Richness and Modelling Habitat Preference...
IF Needed:
Article Bias in estimating animal travel distance: The effect of sam...
P.S.: If you are working on movement ecology, I would like to suggest this website: https://www.moveapps.org/
MoveApps is a free analysis platform for animal tracking data hosted by the Max Planck Institute of Animal Behavior.
Multi-species occupancy models are efficient and powerful, particularly for inference about rare species for which data might otherwise be too sparse and for examing interactions between species. Software freely available:https://cran.r-project.org
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