hivemind style question about spatial model sampling strategy: when modelling a highly spatially autocorrelated response such as the one shown here, I found the only way to produce models with correctable spatial autocorrelation (using {spatialRF} package eigenvectors) in the residuals was by enforcing a 'one-point-per-sample-grid cell' approach as shown below. What might be the implications for interpretation? #rstats #gis @blasbenito @edzer @mdsumner @defuneste @joeroe

Feeling lucky to be in a job (for now) that I love so much. Just arrived back from a 5 day workshop in Goettingen, Germany. We invited palaeoecologists, palynologists, historians, ethnographers and archaeologists working on the Atlantic Forest of #brazil. We were also honoured to host a Tupi-guarani village leader, who generously offered his unique perspectives. I delivered a 2 day workshop on #gis #rstats #ecology species distribution modelling using #tidymodels and #tidysdm.