Hello,

 

We work on the application of regression kriging to presence / absence data in the context of species distribution modelling. In R in a first step we fit the trend surfaces with logistic regression models. Then we fit a variogram to the regression residuals and interpolate the residuals with OK. Now we face the situation that when combining trend surfaces with residual surfaces for some locations our occurrence probability is <0 or >1. Thus taking into account the spatial structure of the data (residuals)  has the potential to convert a predicted high occurrence probability into a low occurrence probability or vice versa. Are there some restriction for presence/ absence data for this approach? How to deal with these estimations (<0 and >1)?

 

Many thanks

Vanessa  

 

 

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Dr. Vanessa Stelzenmüller

Marine Scientist (GIS), CEFAS

Pakefield Road, Lowestoft, NR33 0HT, UK



Tel.: +44 (0)1502 527779



www.cefas.co.uk





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