Geographic Data Analysis and Modeling

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How far does the tree affect the crop in agroforestry? New spatial analysis methods in a Faidherbia parkland (2020, methodology): “The TIF multi-band UAV ortho-image was converted into a mono-layer NDVI or 336 MSAVI2 TIF raster using the rgdal (Bivand et al., 2014) and raster (Hijmans, 2015) libraries 337 in R. 338 We created shape files in QGIS for the following: the whole-plot; non-cultivated areas 339 (shelters and tower);…”
The importance of snow in species distribution models of arctic vegetation (2018, methodology): “All the image processing and statistics were performed in statistical software R (R Core Team) with Raster package (Hijmans 2016).”
Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics (2018, methodology): “2 (R Development Core Team, 2015) using the ‘raster’ function in the eponymous package (Hijmans, 2014).”
Predation by small mammalian carnivores in rural agro-ecosystems: An undervalued ecosystem service? (2017, methodology): “4.1 (R Development Core Team, 2017) for all modelling, with the following R packages; raster for IWD (Hijmans, 2015), jagsUI (Kellner, 2016).”
Simple Features for R: Standardized Support for Spatial Vector Data (2018, background): “The advantage of this package e.g. over geosphere (Hijmans, 2016a) is that it supports simple features for distance calculations, where geosphere only computes distances between points.”