The R Journal: article published in 2020, volume 12:2

OpenLand: Software for Quantitative Analysis and Visualization of Land Use and Cover Change
Reginal Exavier and Peter Zeilhofer , The R Journal (2020) 12:2, pages 359-371.

Abstract There is an increasing availability of spatially explicit, freely available land use and cover (LUC) time series worldwide. Because of the enormous amount of data this represents, the continuous updates and improvements in spatial and temporal resolution and category differentiation, as well as increasingly dynamic and complex changes made, manual data extraction and analysis is highly time consuming, and making software tools available to automatize LUC data assessment is becom ing imperative. This paper presents a software developed in R, which combines LUC raster time series data and their transitions, calculates state-of-the-art LUC change indicators, and creates spatio temporal visualizations, all in a coherent workflow. The functionality of the application developed is demonstrated using an LUC dataset of the Pantanal floodplain contribution area in Central Brazil.

Received: 2020-04-26; online 2021-01-15, supplementary material, (2 KiB)
CRAN packages: intensity.analysis, lulcc, OpenLand, raster, dplyr, tidyr, ggplot2, circlize, gridExtra, networkD3
CRAN Task Views implied by cited CRAN packages: Databases, Graphics, Hydrology, ModelDeployment, Phylogenetics, Spatial, SpatioTemporal, TeachingStatistics

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-021,
  author = {Reginal Exavier and Peter Zeilhofer},
  title = {{OpenLand: Software for Quantitative Analysis and
          Visualization of Land Use and Cover Change}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-021},
  url = {https://doi.org/10.32614/RJ-2021-021},
  pages = {359--371},
  volume = {12},
  number = {2}
}