Skip to contents

{tidyterra} package has been used in the following publications:

Publications

Bahlburg, D., Thorpe, S. E., Meyer, B., Berger, U., & Murphy, E. J. (2023). An intercomparison of models predicting growth of Antarctic krill (Euphausia superba): The importance of recognizing model specificity. PLOS ONE, 18(7), 1–29. https://doi.org/10.1371/journal.pone.0286036
Becker, M. (2023). Spatial data in the mlr3 ecosystem. In mlr3: Machine Learning in R. https://mlr-org.com/gallery/technical/2023-02-27-land-cover-classification/index.html
Chavez, M. (2023). Sonoran Desert Ex Situ Conservation Gap Analysis: Charting the Path Toward Conservation. [PhD thesis, Queen Mary, University of London]. https://doi.org/10.34885/E2HA-QE07
DeSaix, M. (2023). Migratory networks in R. Online. https://mgdesaix.github.io/connectivity-book/
Gibson, M. P. (2023). Targeted sampling of Toxolasma parvum (Lilliput) in southwestern Ontario, 2022. 1369.
Hernangómez, D. (2022). Introducing tidyterra. In One world: Projects, maps and coding. https://dieghernan.github.io/202205_tidyterra/
Hufkens, K. (2023). A Handful of Pixels. Online. https://khufkens.github.io/handful_of_pixels/
Isken, M. (2023). Hello world maps in R using both raster and vector data. https://bitsofanalytics.org/posts/hello_world_mapping_r/hello_world_map_r.html
Lacko, J. (2023). RCzechia: Spatial objects of the Czech Republic. Journal of Open Source Software, 8(83), 5082. https://doi.org/10.21105/joss.05082
Leonardi, M., Colucci, M., & Manica, A. (2023). tidysdm: Leveraging the flexibility of tidymodels for species distribution modelling in R. bioRxiv. https://doi.org/10.1101/2023.07.24.550358
Mahoney, M. (2023). Cloud-native geospatial if you don’t speak snake. In Cloud-Native Geospatial Foundation. https://cloudnativegeo.org/blog/2023/09/cloud-native-geospatial-if-you-dont-speak-snake/
Massicotte, P. (2022). How to read AMSR2 sea ice data with terra. https://www.pmassicotte.com/posts/2022-08-11-how-to-read-amsr2-seaice-data/
Meister, N., Langbehn, T. J., Varpe, Ø., & Jørgensen, C. (2023). Blue mussels in western Norway have vanished where in reach of crawling predators. Marine Ecology Progress Series, 721, 85–101. https://doi.org/10.3354/meps14416
Mohammed, I. (2024). NASAaccess: Downloading and reformatting tool for NASA earth observation data products. National Aeronautics; Space Administration, Goddard Space Flight Center. https://github.com/nasa/NASAaccess
Molitor, C. (2022). Introducing tidal flat habitat. In Ocean Health Index. https://oceanhealthindex.org/news/tidal_flats/
Moraga, P. (2023). Spatial Statistics for Data Science: Theory and Practice with R (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781032641522
Popovic, M. (2023a). Animated raster maps with ggplot2 and gifski in R. In Youtube. https://youtube.com/watch?v=GMnuNjnXnS8
Popovic, M. (2023b). How to map population change with GHSL data in R. In Milos Popovic. https://milospopovic.net/map-population-change-in-r/
Royé, D. (2022). Hillshade effects. In Dr. Dominic Royé. https://dominicroye.github.io/en/2022/hillshade-effects/
Schramm, M. (2022). @mpschramm: Plotting drought conditions. https://michaelpaulschramm.com/posts/2022-07-22-drought/
Semba, M. (2023a). Compute normalized difference vegetation index in R. In ng’ara. https://lugoga.github.io/semba-quarto/posts/ndvi/
Semba, M. (2023b). Getting GEBCO bathymetry data and glean the power of terra and tidyterra packages for raster and vector objects. In ng’ara. https://lugoga.github.io/semba-quarto/posts/gebco/
Sepulveda, I. (2023). Exploring Santiago de Chile: Hillshade and hypsometric map with tidyterra and ragg. In medium.com. https://medium.com/@ignaciodsg/exploring-santiago-de-chile-hillshade-and-hypsometric-map-with-tidyterra-and-ragg-6929a6c7143
Turner, J. A., Starkey, M., Dulvy, N. K., Hawkins, F., Mair, L., Serckx, A., Brooks, T., Polidoro, B., Butchart, S. H. M., Carpenter, K., Epps, M., Jabado, R. W., Macfarlane, N. B. W., & Bennun, L. (2024). Targeting ocean conservation outcomes through threat reduction. Npj Ocean Sustainability, 3(1), 4. https://doi.org/10.1038/s44183-023-00040-8