Tools for Reading and Handling Spatial Objects
By Roger S. Bivand, N. Lewin‐Koh. 2016
743 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9831b2d80e2d3759fc3e6f24f5f1410d5d63bda0
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Citations in the corpus
- Point Patterns Occurring on Complex Structures in Space and Space-Time: An Alternative Network Approach (2016, methodology): “Data preprocessing and data visualizationwere carried out using the R packages ggplot2 (Wickham 2009), maptools (Bivand and Lewin-Koh 2017), rgdal (Bivand, Keitt, and Rowlingson 2017), and sp (Pebesma and Bivand 2005; Bivand, Pebesma, and Gomez-Rubio 2013).”
- Spatial modelling with R-INLA: A review (2018, methodology): “There are different ways to provide the neighbourhood structure given by (4) to R-INLA: 1) Through an ASCII file; 2) through a symmetric adjacency matrix of dimension n×n; 3) by extracting the structure directly from the shapefile using the R-packages maptools (Bivand and Lewin-Koh, 2017) and spdep ”
- Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co‐occurrence (2018, unknown): “3.1.2, R Core Team) using the libraries ‘ade4’ (Dray et al. 2007), ‘adehabitatHR’ (Calenge 2006), ‘ecospat’ (Di Cola et al. 2017), ‘maptools’ (Bivand and Lewin-Koh 2014), ‘raster’ (Hijmans 2015), ‘rgdal’ (Bivand et al. 2017), ‘rgeos’ (Bivand and Rundel 2015) and ‘vegan’ (Oksanen et al. 2014).”