Using the tidyverse with terra objects

Using the tidyverse with terra objects: the tidyterra package - Published in JOSS (2023)

https://github.com/dieghernan/tidyterra

Science Score: 100.0%

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Keywords

cran cran-r ggplot-extension r r-package r-spatial rspatial rstats rstats-package terra

Keywords from Contributors

meshing standardization ropensci r-cran citation-files citation-file-format cff attribution cryptocurrencies parallel
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Repository

tidyverse and ggplot2 methods for terra spatial objects

Basic Info
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  • Stars: 200
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Topics
cran cran-r ggplot-extension r r-package r-spatial rspatial rstats rstats-package terra
Created over 3 years ago · Last pushed 5 months ago
Metadata Files
Readme Changelog Contributing Funding License Code of conduct Citation Codemeta

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_knit$set(
  progress = TRUE,
  base.url = "https://raw.githubusercontent.com/dieghernan/tidyterra/main/"
)
knitr::opts_chunk$set(
  collapse = TRUE,
  tidy = "styler",
  comment = "#>",
  fig.path = "img/README-",
  warning = FALSE,
  message = FALSE,
  dev = "ragg_png",
  dpi = 300,
  out.width = "100%"
)
```

# tidyterra 



[![CRAN
status](https://www.r-pkg.org/badges/version/tidyterra)](https://CRAN.R-project.org/package=tidyterra)
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questions](https://img.shields.io/stackexchange/stackoverflow/t/tidyterra?logo=stackoverflow&label=stackoverflow%20q%26a)](https://stackoverflow.com/questions/tagged/tidyterra)
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The goal of **tidyterra** is to provide common methods of the [**tidyverse**
packages](https://www.tidyverse.org/packages/) for objects created with the
[**terra**](https://CRAN.R-project.org/package=terra) package: `SpatRaster` and
`SpatVector`. It also provides `geoms` for plotting these objects with
[**ggplot2**](https://ggplot2.tidyverse.org/).

Please cite **tidyterra** as:

> Hernangómez, D., (2023). Using the tidyverse with terra objects: the tidyterra
> package. *Journal of Open Source Software*, *8*(91), 5751,
> .

A BibTeX entry for LaTeX users is:

``` bib
@article{Hernangómez2023,
  doi = {10.21105/joss.05751},
  url = {https://doi.org/10.21105/joss.05751},
  year = {2023},
  publisher = {The Open Journal},
  volume = {8},
  number = {91},
  pages = {5751},
  author = {Diego Hernangómez},
  title = {Using the {tidyverse} with {terra} objects: the {tidyterra} package},
  journal = {Journal of Open Source Software}
}
```

## Overview

Full manual of the most recent release of **tidyterra** on **CRAN** is online:


**tidyverse** methods implemented on **tidyterra** works differently depending
on the type of `Spat*` object:

-   `SpatVector`: the methods are implemented using `terra::as.data.frame()`
    coercion. Rows correspond to geometries and columns correspond to attributes
    of the geometry.

-   `SpatRaster`: The implementation on `SpatRaster` objects differs, since the
    methods could be applied to layers or to cells. **tidyterra** overall
    approach is to treat the layers as columns of a tibble and the cells as rows
    (i.e. `select(SpatRaster, 1)` would select the first layer of a
    `SpatRaster`).

The methods implemented return the same type of object used as input, unless the
expected behavior of the method is to return another type of object, (for
example, `as_tibble()` would return a `tibble`).

Current methods and functions provided by **tidyterra** are:

| tidyverse method | `SpatVector` | `SpatRaster` |
|----|----|----|
| `tibble::as_tibble()` | ✔️ | ✔️ |
| `dplyr::select()` | ✔️ | ✔️ Select layers |
| `dplyr::mutate()` | ✔️ | ✔️ Create /modify layers |
| `dplyr::transmute()` | ✔️ | ✔️ |
| `dplyr::filter()` | ✔️ | ✔️ Modify cells values and (additionally) remove outer cells. |
| `dplyr::slice()` | ✔️ | ✔️ Additional methods for slicing by row and column. |
| `dplyr::pull()` | ✔️ | ✔️ |
| `dplyr::rename()` | ✔️ | ✔️ |
| `dplyr::relocate()` | ✔️ | ✔️ |
| `dplyr::distinct()` | ✔️ |  |
| `dplyr::arrange()` | ✔️ |  |
| `dplyr::glimpse()` | ✔️ | ✔️ |
| `dplyr::inner_join()` family | ✔️ |  |
| `dplyr::summarise()` | ✔️ |  |
| `dplyr::group_by()` family | ✔️ |  |
| `dplyr::rowwise()` | ✔️ |  |
| `dplyr::count()`, `tally()` | ✔️ |  |
| `dplyr::bind_cols()` / `dplyr::bind_rows()` | ✔️ as `bind_spat_cols()` / `bind_spat_rows()` |  |
| `tidyr::drop_na()` | ✔️ | ✔️ Remove cell values with `NA` on any layer. Additionally, outer cells with `NA` are removed. |
| `tidyr::replace_na()` | ✔️ | ✔️ |
| `tidyr::fill()` | ✔️ |  |
| `tidyr::pivot_longer()` | ✔️ |  |
| `tidyr::pivot_wider()` | ✔️ |  |
| `ggplot2::autoplot()` | ✔️ | ✔️ |
| `ggplot2::fortify()` | ✔️ to **sf** via `sf::st_as_sf()` | To a **tibble** with coordinates. |
| `ggplot2::geom_*()` | ✔️ `geom_spatvector()` | ✔️ `geom_spatraster()` and `geom_spatraster_rgb()`. |

## :exclamation: A note on performance

**tidyterra** is conceived as a user-friendly wrapper of **terra** using the
**tidyverse** methods and verbs. This approach therefore has a **cost in terms
of performance**.

If you are a **heavy user** of **terra** or you need to work with **big raster
files**, **terra** is much more focused on terms of performance. When possible,
each function of **tidyterra** references to its equivalent on **terra**.

As a rule of thumb if your raster has less than 10.000.000 data slots counting
cells and layers (i.e. `terra::ncell(your_rast)*terra::nlyr(your_rast) < 10e6`)
you are good to go with **tidyterra**.

When plotting rasters, resampling is performed automatically (as `terra::plot()`
does, see the help page). You can adjust this with the `maxcell` parameter.

## Installation

Install **tidyterra** from
[**CRAN**](https://CRAN.R-project.org/package=tidyterra):

```{r, eval=FALSE}
install.packages("tidyterra")
```

You can install the development version of **tidyterra** like so:

```{r, eval=FALSE }
# install.packages("pak")
pak::pak("dieghernan/tidyterra")
```

Alternatively, you can install **tidyterra** using the
[r-universe](https://dieghernan.r-universe.dev/tidyterra):

```{r, eval=FALSE}
# Enable this universe
install.packages("tidyterra", repos = c(
  "https://dieghernan.r-universe.dev",
  "https://cloud.r-project.org"
))
```

## Example

### `SpatRasters`

This is a basic example which shows you how to manipulate and plot `SpatRaster`
objects:

```{r example-temp}
library(tidyterra)
library(terra)

# Temperatures
rastertemp <- rast(system.file("extdata/cyl_temp.tif", package = "tidyterra"))

rastertemp

# Rename
rastertemp <- rastertemp %>%
  rename(April = tavg_04, May = tavg_05, June = tavg_06)

# Facet all layers
library(ggplot2)

ggplot() +
  geom_spatraster(data = rastertemp) +
  facet_wrap(~lyr, ncol = 2) +
  scale_fill_whitebox_c(
    palette = "muted",
    labels = scales::label_number(suffix = "º"),
    n.breaks = 12,
    guide = guide_legend(reverse = TRUE)
  ) +
  labs(
    fill = "",
    title = "Average temperature in Castille and Leon (Spain)",
    subtitle = "Months of April, May and June"
  )

# Create maximum differences of two months
variation <- rastertemp %>%
  mutate(diff = June - May) %>%
  select(variation = diff)

# Add also a overlay of a SpatVector
prov <- vect(system.file("extdata/cyl.gpkg", package = "tidyterra"))

ggplot(prov) +
  geom_spatraster(data = variation) +
  geom_spatvector(fill = NA) +
  scale_fill_whitebox_c(
    palette = "deep", direction = -1,
    labels = scales::label_number(suffix = "º"),
    n.breaks = 5
  ) +
  theme_minimal() +
  coord_sf(crs = 25830) +
  labs(
    fill = "Variation",
    title = "Variation of Temperature in Castile and León (Spain)",
    subtitle = "Average Temperatures: June vs. May"
  )
```

**tidyterra** also provides a geom for plotting RGB `SpatRaster` tiles with 
**ggplot2**:

```{r example-tile}
rgb_tile <- rast(system.file("extdata/cyl_tile.tif", package = "tidyterra"))

plot <- ggplot(prov) +
  geom_spatraster_rgb(data = rgb_tile) +
  geom_spatvector(fill = NA) +
  theme_light()

plot

# Automatically recognizes and applies coord_sf() for spatial data.
plot +
  # Change the CRS and datum (useful for relabeling graticules).
  coord_sf(crs = 3857, datum = 3857)
```

**tidyterra** provides specific scales for plotting hypsometric maps with
**ggplot2**:

```{r hypso, fig.asp=0.65}
asia <- rast(system.file("extdata/asia.tif", package = "tidyterra"))

terra::plot(asia)

ggplot() +
  geom_spatraster(data = asia) +
  scale_fill_hypso_tint_c(
    palette = "gmt_globe",
    labels = scales::label_number(),
    # Further refinements
    breaks = c(-10000, -5000, 0, 2000, 5000, 8000),
    guide = guide_colorbar(reverse = TRUE)
  ) +
  labs(
    fill = "elevation (m)",
    title = "Hypsometric map of Asia"
  ) +
  theme(
    legend.position = "bottom",
    legend.title.position = "top",
    legend.key.width = rel(3),
    legend.ticks = element_line(colour = "black", linewidth = 0.3),
    legend.direction = "horizontal"
  )
```

### `SpatVectors`

This is a basic example which shows you how to manipulate and plot `SpatVector`
objects:

```{r spatvec }
vect(system.file("ex/lux.shp", package = "terra")) %>%
  mutate(pop_dens = POP / AREA) %>%
  glimpse() %>%
  autoplot(aes(fill = pop_dens)) +
  scale_fill_whitebox_c(palette = "pi_y_g") +
  labs(
    fill = "population per km2",
    title = "Population density of Luxembourg",
    subtitle = "By canton"
  )
```

## I need your feedback

Please leave your feedback or open an issue on
.

## Need help?

Check our [FAQs](https://dieghernan.github.io/tidyterra/articles/faqs.html) or
open a new [issue](https://github.com/dieghernan/tidyterra/issues)!

You can also ask in [Stack Overflow](https://stackoverflow.com/) using the tag
[[tidyterra]](https://stackoverflow.com/questions/tagged/tidyterra).

## Acknowledgement

**tidyterra** **ggplot2** geoms are based on
[**ggspatial**](https://github.com/paleolimbot/ggspatial) implementation, by
[Dewey Dunnington](https://github.com/paleolimbot) and [**ggspatial**
contributors](https://github.com/paleolimbot/ggspatial/graphs/contributors).

Owner

  • Name: Diego H.
  • Login: dieghernan
  • Kind: user
  • Location: Madrid, ES

JOSS Publication

Using the tidyverse with terra objects: the tidyterra package
Published
November 10, 2023
Volume 8, Issue 91, Page 5751
Authors
Diego Hernangómez ORCID
Independent Researcher
Editor
Jayaram Hariharan ORCID
Tags
R CRAN spatial vector raster tidyverse terra ggplot2

Citation (CITATION.cff)

# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "tidyterra" in publications use:'
type: software
license: MIT
title: 'tidyterra: ''tidyverse'' Methods and ''ggplot2'' Helpers for ''terra'' Objects'
version: 0.7.2
doi: 10.21105/joss.05751
identifiers:
- type: doi
  value: 10.32614/CRAN.package.tidyterra
abstract: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of
  the 'terra' package. It includes also new 'geom_' functions that provide a convenient
  way of visualizing 'terra' objects with 'ggplot2'.
authors:
- family-names: Hernangómez
  given-names: Diego
  email: diego.hernangomezherrero@gmail.com
  orcid: https://orcid.org/0000-0001-8457-4658
preferred-citation:
  type: article
  title: 'Using the tidyverse with terra objects: the tidyterra package'
  authors:
  - family-names: Hernangómez
    given-names: Diego
    email: diego.hernangomezherrero@gmail.com
    orcid: https://orcid.org/0000-0001-8457-4658
  doi: 10.21105/joss.05751
  year: '2023'
  url: https://doi.org/10.21105/joss.05751
  publisher:
    name: The Open Journal
  volume: '8'
  issue: '91'
  journal: Journal of Open Source Software
  issn: 2475-9066
  start: '5751'
repository: https://CRAN.R-project.org/package=tidyterra
repository-code: https://github.com/dieghernan/tidyterra
url: https://dieghernan.github.io/tidyterra/
contact:
- family-names: Hernangómez
  given-names: Diego
  email: diego.hernangomezherrero@gmail.com
  orcid: https://orcid.org/0000-0001-8457-4658
keywords:
- r
- terra
- ggplot-extension
- r-spatial
- rspatial
- cran
- cran-r
- r-package
- rstats
- rstats-package
references:
- type: software
  title: 'R: A Language and Environment for Statistical Computing'
  notes: Depends
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    address: Vienna, Austria
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  authors:
  - family-names: Barrett
    given-names: Tyson
    email: t.barrett88@gmail.com
    orcid: https://orcid.org/0000-0002-2137-1391
  - family-names: Dowle
    given-names: Matt
    email: mattjdowle@gmail.com
  - family-names: Srinivasan
    given-names: Arun
    email: asrini@pm.me
  - family-names: Gorecki
    given-names: Jan
  - family-names: Chirico
    given-names: Michael
    orcid: https://orcid.org/0000-0003-0787-087X
  - family-names: Hocking
    given-names: Toby
    orcid: https://orcid.org/0000-0002-3146-0865
  - family-names: Schwendinger
    given-names: Benjamin
    orcid: https://orcid.org/0000-0003-3315-8114
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    given-names: Ivan
    email: ikrylov@disroot.org
    orcid: https://orcid.org/0000-0002-0172-3812
  year: '2025'
  doi: 10.32614/CRAN.package.data.table
- type: software
  title: dplyr
  abstract: 'dplyr: A Grammar of Data Manipulation'
  notes: Imports
  url: https://dplyr.tidyverse.org
  repository: https://CRAN.R-project.org/package=dplyr
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
    orcid: https://orcid.org/0000-0003-4757-117X
  - family-names: François
    given-names: Romain
    orcid: https://orcid.org/0000-0002-2444-4226
  - family-names: Henry
    given-names: Lionel
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    given-names: Kirill
    orcid: https://orcid.org/0000-0002-1416-3412
  - family-names: Vaughan
    given-names: Davis
    email: davis@posit.co
    orcid: https://orcid.org/0000-0003-4777-038X
  year: '2025'
  doi: 10.32614/CRAN.package.dplyr
  version: '>= 1.0.0'
- type: software
  title: ggplot2
  abstract: 'ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics'
  notes: Imports
  url: https://ggplot2.tidyverse.org
  repository: https://CRAN.R-project.org/package=ggplot2
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
    orcid: https://orcid.org/0000-0003-4757-117X
  - family-names: Chang
    given-names: Winston
    orcid: https://orcid.org/0000-0002-1576-2126
  - family-names: Henry
    given-names: Lionel
  - family-names: Pedersen
    given-names: Thomas Lin
    email: thomas.pedersen@posit.co
    orcid: https://orcid.org/0000-0002-5147-4711
  - family-names: Takahashi
    given-names: Kohske
  - family-names: Wilke
    given-names: Claus
    orcid: https://orcid.org/0000-0002-7470-9261
  - family-names: Woo
    given-names: Kara
    orcid: https://orcid.org/0000-0002-5125-4188
  - family-names: Yutani
    given-names: Hiroaki
    orcid: https://orcid.org/0000-0002-3385-7233
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    given-names: Dewey
    orcid: https://orcid.org/0000-0002-9415-4582
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    given-names: Teun
    name-particle: van den
    orcid: https://orcid.org/0000-0002-9335-7468
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  doi: 10.32614/CRAN.package.ggplot2
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  notes: Imports
  url: https://magrittr.tidyverse.org
  repository: https://CRAN.R-project.org/package=magrittr
  authors:
  - family-names: Bache
    given-names: Stefan Milton
    email: stefan@stefanbache.dk
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
  year: '2025'
  doi: 10.32614/CRAN.package.magrittr
- type: software
  title: rlang
  abstract: 'rlang: Functions for Base Types and Core R and ''Tidyverse'' Features'
  notes: Imports
  url: https://rlang.r-lib.org
  repository: https://CRAN.R-project.org/package=rlang
  authors:
  - family-names: Henry
    given-names: Lionel
    email: lionel@posit.co
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  year: '2025'
  doi: 10.32614/CRAN.package.rlang
- type: software
  title: scales
  abstract: 'scales: Scale Functions for Visualization'
  notes: Imports
  url: https://scales.r-lib.org
  repository: https://CRAN.R-project.org/package=scales
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  - family-names: Pedersen
    given-names: Thomas Lin
    email: thomas.pedersen@posit.co
    orcid: https://orcid.org/0000-0002-5147-4711
  - family-names: Seidel
    given-names: Dana
  year: '2025'
  doi: 10.32614/CRAN.package.scales
- type: software
  title: sf
  abstract: 'sf: Simple Features for R'
  notes: Imports
  url: https://r-spatial.github.io/sf/
  repository: https://CRAN.R-project.org/package=sf
  authors:
  - family-names: Pebesma
    given-names: Edzer
    email: edzer.pebesma@uni-muenster.de
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  year: '2025'
  doi: 10.32614/CRAN.package.sf
  version: '>= 1.0.0'
- type: software
  title: terra
  abstract: 'terra: Spatial Data Analysis'
  notes: Imports
  url: https://rspatial.org/
  repository: https://CRAN.R-project.org/package=terra
  authors:
  - family-names: Hijmans
    given-names: Robert J.
    email: r.hijmans@gmail.com
    orcid: https://orcid.org/0000-0001-5872-2872
  year: '2025'
  doi: 10.32614/CRAN.package.terra
  version: '>= 1.8-10'
- type: software
  title: tibble
  abstract: 'tibble: Simple Data Frames'
  notes: Imports
  url: https://tibble.tidyverse.org/
  repository: https://CRAN.R-project.org/package=tibble
  authors:
  - family-names: Müller
    given-names: Kirill
    email: kirill@cynkra.com
    orcid: https://orcid.org/0000-0002-1416-3412
  - family-names: Wickham
    given-names: Hadley
    email: hadley@rstudio.com
  year: '2025'
  doi: 10.32614/CRAN.package.tibble
  version: '>= 3.0.0'
- type: software
  title: tidyr
  abstract: 'tidyr: Tidy Messy Data'
  notes: Imports
  url: https://tidyr.tidyverse.org
  repository: https://CRAN.R-project.org/package=tidyr
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
  - family-names: Vaughan
    given-names: Davis
    email: davis@posit.co
  - family-names: Girlich
    given-names: Maximilian
  year: '2025'
  doi: 10.32614/CRAN.package.tidyr
  version: '>= 1.0.0'
- type: software
  title: hexbin
  abstract: 'hexbin: Hexagonal Binning Routines'
  notes: Suggests
  url: https://github.com/edzer/hexbin
  repository: https://CRAN.R-project.org/package=hexbin
  authors:
  - family-names: Carr
    given-names: Dan
    email: dcarr@voxel.galaxy.gmu.edu
  - family-names: Lewin-Koh
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    email: maechler@stat.math.ethz.ch
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    email: deepayan.sarkar@r-project.org
  year: '2025'
  doi: 10.32614/CRAN.package.hexbin
- type: software
  title: isoband
  abstract: 'isoband: Generate Isolines and Isobands from Regularly Spaced Elevation
    Grids'
  notes: Suggests
  url: https://isoband.r-lib.org
  repository: https://CRAN.R-project.org/package=isoband
  authors:
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  year: '2025'
  doi: 10.32614/CRAN.package.isoband
- type: software
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  abstract: 'knitr: A General-Purpose Package for Dynamic Report Generation in R'
  notes: Suggests
  url: https://yihui.org/knitr/
  repository: https://CRAN.R-project.org/package=knitr
  authors:
  - family-names: Xie
    given-names: Yihui
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    orcid: https://orcid.org/0000-0003-0645-5666
  year: '2025'
  doi: 10.32614/CRAN.package.knitr
- type: software
  title: lifecycle
  abstract: 'lifecycle: Manage the Life Cycle of your Package Functions'
  notes: Suggests
  url: https://lifecycle.r-lib.org/
  repository: https://CRAN.R-project.org/package=lifecycle
  authors:
  - family-names: Henry
    given-names: Lionel
    email: lionel@posit.co
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    orcid: https://orcid.org/0000-0003-4757-117X
  year: '2025'
  doi: 10.32614/CRAN.package.lifecycle
- type: software
  title: maptiles
  abstract: 'maptiles: Download and Display Map Tiles'
  notes: Suggests
  url: https://github.com/riatelab/maptiles/
  repository: https://CRAN.R-project.org/package=maptiles
  authors:
  - family-names: Giraud
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    orcid: https://orcid.org/0000-0002-1932-3323
  year: '2025'
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- type: software
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  abstract: 'rmarkdown: Dynamic Documents for R'
  notes: Suggests
  url: https://pkgs.rstudio.com/rmarkdown/
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  - family-names: Cheng
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  - family-names: Iannone
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    email: rich@posit.co
    orcid: https://orcid.org/0000-0003-3925-190X
  year: '2025'
  doi: 10.32614/CRAN.package.rmarkdown
- type: software
  title: s2
  abstract: 's2: Spherical Geometry Operators Using the S2 Geometry Library'
  notes: Suggests
  url: https://r-spatial.github.io/s2/
  repository: https://CRAN.R-project.org/package=s2
  authors:
  - family-names: Dunnington
    given-names: Dewey
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  - family-names: Rubak
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  year: '2025'
  doi: 10.32614/CRAN.package.s2
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  title: testthat
  abstract: 'testthat: Unit Testing for R'
  notes: Suggests
  url: https://testthat.r-lib.org
  repository: https://CRAN.R-project.org/package=testthat
  authors:
  - family-names: Wickham
    given-names: Hadley
    email: hadley@posit.co
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  doi: 10.32614/CRAN.package.testthat
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  notes: Suggests
  url: https://vctrs.r-lib.org/
  repository: https://CRAN.R-project.org/package=vctrs
  authors:
  - family-names: Wickham
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  year: '2025'
  doi: 10.32614/CRAN.package.vctrs
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  abstract: 'vdiffr: Visual Regression Testing and Graphical Diffing'
  notes: Suggests
  url: https://vdiffr.r-lib.org/
  repository: https://CRAN.R-project.org/package=vdiffr
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  - family-names: Henry
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  - family-names: Lise
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GitHub Events

Total
  • Create event: 13
  • Release event: 3
  • Issues event: 17
  • Watch event: 25
  • Delete event: 11
  • Issue comment event: 23
  • Push event: 169
  • Pull request review event: 5
  • Pull request review comment event: 9
  • Pull request event: 23
  • Fork event: 5
Last Year
  • Create event: 13
  • Release event: 3
  • Issues event: 17
  • Watch event: 25
  • Delete event: 11
  • Issue comment event: 23
  • Push event: 169
  • Pull request review event: 5
  • Pull request review comment event: 9
  • Pull request event: 23
  • Fork event: 5

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 447
  • Total Committers: 8
  • Avg Commits per committer: 55.875
  • Development Distribution Score (DDS): 0.188
Past Year
  • Commits: 101
  • Committers: 6
  • Avg Commits per committer: 16.833
  • Development Distribution Score (DDS): 0.366
Top Committers
Name Email Commits
Diego H d****o@g****m 363
github-actions[bot] 4****] 72
dependabot[bot] 4****] 5
ImgBotApp I****p@g****m 2
Andrea Manica a****5@c****k 2
Teun van den Brand t****d@g****m 1
Fan-iX 6****X 1
unknown 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 74
  • Total pull requests: 115
  • Average time to close issues: 26 days
  • Average time to close pull requests: 10 days
  • Total issue authors: 34
  • Total pull request authors: 7
  • Average comments per issue: 1.68
  • Average comments per pull request: 0.98
  • Merged pull requests: 90
  • Bot issues: 4
  • Bot pull requests: 23
Past Year
  • Issues: 13
  • Pull requests: 24
  • Average time to close issues: 9 days
  • Average time to close pull requests: about 14 hours
  • Issue authors: 9
  • Pull request authors: 5
  • Average comments per issue: 0.46
  • Average comments per pull request: 0.96
  • Merged pull requests: 16
  • Bot issues: 0
  • Bot pull requests: 7
Top Authors
Issue Authors
  • dieghernan (30)
  • aloboa (5)
  • github-actions[bot] (4)
  • Breeze-Hu (2)
  • schonhose (2)
  • DidDrog11 (2)
  • danbebber (2)
  • Shrubner (1)
  • nipnipj (1)
  • mengjiezhang4ds (1)
  • claudehspencer (1)
  • jamiemkass (1)
  • tigerwang1998 (1)
  • pvjeetze (1)
  • kongdd (1)
Pull Request Authors
  • dieghernan (81)
  • imgbot[bot] (17)
  • dependabot[bot] (5)
  • Fan-iX (4)
  • dramanica (2)
  • teunbrand (2)
  • espinielli (1)
Top Labels
Issue Labels
📊 ggplot2 (17) ❔ q&a (6) bug (5) enhancement (5) ⇝ spatvector (4) documentation (2) good first issue (2) help wanted (2) 🛠dplyr (1) 🏼 spatraster (1) duplicate (1) bot (1)
Pull Request Labels
enhancement (24) 📊 ggplot2 (11) 🛠dplyr (8) ⇝ spatvector (5) dependencies (5) coercing (4) 🧹tidyr (4) bug (2) 📑 tibble (2) documentation (2) 🏼 spatraster (1) github_actions (1)

Packages

  • Total packages: 2
  • Total downloads:
    • cran 8,769 last-month
  • Total docker downloads: 81
  • Total dependent packages: 17
    (may contain duplicates)
  • Total dependent repositories: 20
    (may contain duplicates)
  • Total versions: 36
  • Total maintainers: 1
proxy.golang.org: github.com/dieghernan/tidyterra
  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.5%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 4 months ago
cran.r-project.org: tidyterra

'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects

  • Versions: 17
  • Dependent Packages: 17
  • Dependent Repositories: 20
  • Downloads: 8,769 Last month
  • Docker Downloads: 81
Rankings
Stargazers count: 2.8%
Dependent packages count: 4.6%
Downloads: 5.5%
Dependent repos count: 6.3%
Average: 9.4%
Forks count: 12.2%
Docker downloads count: 25.1%
Last synced: 4 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.6.0 depends
  • cli >= 3.0.0 imports
  • crayon * imports
  • data.table * imports
  • dplyr * imports
  • ggplot2 >= 3.1.0 imports
  • magrittr * imports
  • rlang * imports
  • scales * imports
  • sf >= 1.0.0 imports
  • terra >= 1.5 imports
  • tibble * imports
  • tidyr * imports
  • isoband * suggests
  • knitr * suggests
  • lifecycle * suggests
  • maptiles * suggests
  • rmarkdown * suggests
  • s2 * suggests
  • testthat >= 3.0.0 suggests
  • vdiffr * suggests
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