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Home > Stats Toolbox > Spatial and Species Distribution Toolboxes > Distance sampling
 
  • Experimental and survey design
  • Classification and regression trees
  • Generalised Linear Mixed Models
  • Generalised additive models (GAMs)
  • Data exploration
  • Analyses Toolboxes
  • R packages and R related Toolboxes
  • Spatial and Species Distribution Toolboxes
    • Species Distribution Modelling
    • SDMs - using spatial information to supplement biased occurrence data
    • Occupancy models
    • Distance sampling
    • Handling Spatial Data
    • Spatial capture-recapture (SCR) modelling
    • Animal movement modelling with moveHMM
    • Time-to-detection occupancy models
    • Spatial occupancy models
    • Single-season occupancy models using a Bayesian approach
    • Spatial Interpolation
    • Dynamic occupancy models
    • Basics of point pattern analysis
    • Estimating survival from CMR data

Distance sampling

In our third edition of the SEEC Stats Toolbox Seminars David Maphisa and Florian Weller explained how to conduct distance sampling. This method relies on either point counts or transect counts in which the distance from the observer to each animal or plant is recorded. These data are then used to estimate density or abundance while reducing observation bias.

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