MODERN LIBRARIES FOR WORKING WITH GEODATA IN R
Keywords:
geodata, R language, visualization, pie charts, spatial analysisAbstract
This paper reviews modern R libraries for processing and visualizing geodata. Particular attention is paid to such packages as sf, geodata, plotrix, rnaturalearth, which replaced outdated solutions and greatly simplified the analysis of spatial information. The purpose of the study was to create a cartographic visualization that displays the distribution of students by specialty in different regions of Ukraine using pie charts integrated into the map. An example of building such a visualization using the latest R tools was demonstrated, and the advantages of modern libraries over outdated approaches were outlined. The results confirm the expediency of using modern R tools for applied tasks in the field of education and demography.
References
Pebesma, E. (2018). "Simple Features for R: Standardized Support for Spatial Vector Data." The R Journal.: https://journal.r-project.org/archive/2018/RJ-2018-009/index.html
Hijmans, R. J. (2023). "terra: Spatial Data Analysis." R package version 1.7-39. https://rspatial.org/terra/
South, A. (2011). "rnaturalearth: World Map Data from Natural Earth." R package documentation.: https://cran.r-project.org/package=rnaturalearth
Lemon, J. (2006). "plotrix: A package in the red light district of R." R News.: https://cran.r-project.org/web/packages/plotrix/index.html
Lovelace, R., Nowosad, J., & Muenchow, J. (2019). "Geocomputation with R." CRC Press.: https://geocompr.robinlovelace.net/
Bivand, R. S., Pebesma, E., & Gómez-Rubio, V. (2013). "Applied Spatial Data Analysis with R." Springer.: http://gis.humboldt.edu/OLM/r/Spatial%20Analysis%20With%20R.pdf
CRAN documentation for geodata package.: https://cran.r-project.org/package=geodata
