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10-gis.Rmd

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@@ -485,7 +485,7 @@ The System for Automated Geoscientific Analyses (SAGA\index{SAGA}; Table \@ref(t
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In addition, there is a Python interface (SAGA Python API\index{API}).
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**Rsagacmd**\index{Rsagacmd (package)} uses the former to run SAGA\index{SAGA} from within R.
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We will use **Rsagacmd** in this section to delineate areas with similar values of the normalized difference vegetation index (NDVI) of the Mongón study area in Peru from the September 22, 2000 (Figure \@ref(fig:sagasegments), left panel) by using a seeded region growing algorithm from SAGA\index{segmentation}.^[Read Section \@ref(local-operations) on details of how to calculate NDVI from a remote-sensing image.]
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We will use **Rsagacmd** in this section to delineate areas with similar values of the normalized difference vegetation index (NDVI) of the Mongón study area in Peru from September in the year 2000 (Figure \@ref(fig:sagasegments), left panel) by using a seeded region growing algorithm from SAGA\index{segmentation}.^[Read Section \@ref(local-operations) on details of how to calculate NDVI from a remote-sensing image.]
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```{r, eval=FALSE}
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ndvi = rast(system.file("raster/ndvi.tif", package = "spDataLarge"))

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