[R-sig-Geo] Computational problems with errorsarlm

Hello everybody: I am trying to estimate a spatial error model, but I am facing to several problems 1) Running errorsarlm function the following message appears: Warning messages: 1: In errorsarlm(y ~ z1 + z2 + z3 + z4 + z5 + z6 + z7 + z8 + : inversion of asymptotic covariance

[R-sig-Geo] average bearing of animal movement data

Hi there, I have seabird tracking data and I have used both the packages 'trip' and 'move' to calculate the max distance travelled (using the function 'homedist' in 'trip', and 'distanceSummary' in 'move'). I would also like to describe the bearing of each animal when it is at its maximum

Re: [R-sig-Geo] testing nlme models for spatial correlation

Thanks, I try the random effects to the level of TRATAMIENTO, and works fine. For the cross or nested, what hapens is, if you dont use all the 3 randoms the degrees of freedom arent correct. Thanks for your time. El 2 ago. 2017 5:52 a. m., "Thierry Onkelinx" escribió:

Re: [R-sig-Geo] bivariate spatial correlation in R

Roger, Thank you for your response. I recognize the data is not ideal and the analysis has limitations because of the lack of information on population displacements that might have occurred over the years. Nonetheless, there are plenty of data + literature showing how the spatial distribution

Re: [R-sig-Geo] testing nlme models for spatial correlation

Dear Javier, It looks like you have only one observation for each combination of BLOQUE/ AMBIENTE/ TRATAMIENTO/ SUBMUESTREO. That is an observation level random effect (OLRE) which doesn't make sense with a Gaussian distribution. The ORLE and the residual would model the exact same thing. Model2