From a64a18c6c2ca1c1f47b4ac6f348d0b90a58c5af8 Mon Sep 17 00:00:00 2001 From: Paulo van Breugel Date: Thu, 24 Oct 2024 10:40:42 +0200 Subject: [PATCH] r.maxent.train: clarification help file --- src/raster/r.maxent.train/r.maxent.train.html | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/raster/r.maxent.train/r.maxent.train.html b/src/raster/r.maxent.train/r.maxent.train.html index 4324c22b2c..e83b5848d0 100644 --- a/src/raster/r.maxent.train/r.maxent.train.html +++ b/src/raster/r.maxent.train/r.maxent.train.html @@ -135,14 +135,14 @@

3) Train the model

The outputs will be written to this folder.

-The projectionlayers parameter is optional. If you set it, a -raster prediction layer is created showing the potential distribution -based on the environmental layers in the projection layers. Note that -this option is primarily intended to aid in model evaluation by -creating a potential suitability map based on the model input -conditions that subsequently can be compared to the actual observed -distribution. For final predictions to future conditions or other -areas, use the r.maxent.prediction module. +The projectionlayers parameter is optional. When set, it +produces a raster prediction layer that reflects the potential +distribution based on the projection layers. This is primarily useful +for model evaluation. I.e., you typically use it to generate a +potential suitability map using the same conditions applied during +model creation, which can then be compared to the observed +distribution. For final predictions in future scenarios or different +locations, use the r.maxent.prediction module.

With the -y and -b flags the point layers with the sample