landscapetools

📦 R package for some of the less-glamorous tasks involved in landscape analysis 🌏

https://github.com/ropensci/landscapetools

Science Score: 23.0%

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Found 4 DOI reference(s) in README
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Low similarity (16.1%) to scientific vocabulary

Keywords

landscape landscape-ecology r r-package raster rstats visualization workflow

Keywords from Contributors

geo neutral-landscape-model landscape-metrics agent-based-modeling individual-based-modelling netlogo visualisation gdal point-pattern-analysis proj

Last synced: 6 months ago · JSON representation

Repository

📦 R package for some of the less-glamorous tasks involved in landscape analysis 🌏

Basic Info

Host: GitHub
Owner: ropensci
License: gpl-3.0
Language: R
Default Branch: master
Homepage: https://docs.ropensci.org/landscapetools
Size: 21.7 MB

Statistics

Stars: 49
Watchers: 12
Forks: 16
Open Issues: 4
Releases: 0

Topics

landscape landscape-ecology r r-package raster rstats visualization workflow

Created almost 8 years ago · Last pushed 10 months ago

Metadata Files

Readme Contributing License Code of conduct

README.Rmd

---
output:
  github_document:
    html_preview: false
---



[![R-CMD-check](https://github.com/ropensci/landscapetools/workflows/R-CMD-check/badge.svg)](https://github.com/ropensci/landscapetools/actions)
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[![DOI:10.1111/2041-210X.13076](https://zenodo.org/badge/DOI/10.1111/2041-210X.13076.svg)](https://doi.org/10.1111/2041-210X.13076)



```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```
# landscapetools

`landscapetools` provides utility functions for some of the less-glamorous tasks involved
in landscape analysis:

#### Utilities:

- `util_binarize`: Binarize continuous raster values, if > 1 breaks are given, return a RasterBrick.
- `util_classify`: Classify a raster into proportions based upon a vector of class weightings.
- `util_merge`: Merge a primary raster with other rasters weighted by scaling factors.
- `util_raster2tibble`, `util_tibble2raster`: Coerce raster* objects to tibbles and vice versa.
- `util_rescale`: Linearly rescale element values in a raster to a range between 0 and 1.
- `util_writeESRI`: Export raster objects as ESRI asciis (with Windows linebreaks).

#### Visualization

- `show_landscape`: Plot a Raster* object with the landscapetools default theme (as ggplot) or multiple raster (RasterStack, -brick or list of raster) side by side as facets.
- `show_shareplot`: Plot the landscape share in subsequential buffers around a/multiple point(s) of interest

#### Themes:

- `theme_nlm`, `theme_nlm_grey`: Opinionated ggplot2 theme to visualize raster (continuous data).
- `theme_nlm_discrete`, `theme_nlm_grey_discrete`: Opinionated ggplot2 theme to visualize raster (discrete data).
- `theme_faceplot`: Opinionated ggplot2 theme to visualize raster in a facet wrap.

## Installation

You can install the released version from CRAN with:

```r
install.packages("landscapetools")
```

You can install the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("ropensci/landscapetools")
```

## Utilities

```{r load_libraries_hidden, eval=TRUE, echo=FALSE, message=FALSE, results='hide'}
library(landscapetools)
```

### Classify

```{r fig.retina=2, message=FALSE}
# Classify the landscape into land uses
classified_landscape <- util_classify(fractal_landscape,
                                      n = 3,
                                      level_names = c("Land Use 1", 
                                                      "Land Use 2",
                                                      "Land Use 3"))

show_landscape(classified_landscape, discrete = TRUE)
```

### Merge

```{r fig.retina=2, message=FALSE}
# Merge all landscapes into one
merged_landscape <- util_merge(fractal_landscape,
                               c(gradient_landscape, random_landscape),
                               scalingfactor = 1)

# Plot an overview
merge_vis <- list(
    "1) Primary" = fractal_landscape,
    "2) Secondary 1" = gradient_landscape,
    "3) Secondary 2" = random_landscape,
    "4) Result" = merged_landscape
)

show_landscape(merge_vis)
```

## See also

In the examples above we make heavy use of the `NLMR` package.
Both packages were developed together until we split them into pure landscape functionality and utility tools.
If you are interested in generating neutral landscapes via a multitude of available algorithms take a closer look at the [NLMR](https://github.com/ropensci/NLMR/) package.

## Meta

* Please [report any issues or bugs](https://github.com/ropensci/landscapetools/issues/new/).
* License: GPL3
* Get citation information for `landscapetools` in R doing `citation(package = 'landscapetools')`
* We are very open to contributions - if you are interested check [Contributing](CONTRIBUTING.md).
    * Please note that this project is released with a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating in this project you agree to abide by its terms.

[![ropensci_footer](https://ropensci.org/public_images/github_footer.png)](http://ropensci.org)

Owner

Name: rOpenSci
Login: ropensci
Kind: organization
Email: info@ropensci.org
Location: Berkeley, CA

Website: https://ropensci.org/
Twitter: rOpenSci
Repositories: 307
Profile: https://github.com/ropensci

GitHub Events

Total

Issues event: 3
Watch event: 2
Delete event: 1
Issue comment event: 7
Push event: 5
Pull request event: 2

Last Year

Issues event: 3
Watch event: 2
Delete event: 1
Issue comment event: 7
Push event: 5
Pull request event: 2

Committers

Last synced: about 2 years ago

All Time

Total Commits: 167
Total Committers: 13
Avg Commits per committer: 12.846
Development Distribution Score (DDS): 0.335

Past Year

Commits: 5
Committers: 3
Avg Commits per committer: 1.667
Development Distribution Score (DDS): 0.4

Top Committers

Name	Email	Commits
marcosci	s**o@g**m	111
mattfrit	m**c@g**e	18
Sebastian Hanss	s**n@h**o	8
jn	t**i@g**m	8
mhesselbarth	m**h@g**m	7
GitHub Actions	a**s@g**m	3
Benrnardo Niebuhr	b**m@y**r	3
Marco Sciaini	m**i@r**e	3
JoshOBrien	j**n@g**m	2
Maximilian Hesselbarth	m**h@m**l	1
GitHub	n**y@g**m	1
Laura Jane Graham	l**m@g**m	1
Jeroen Ooms	j**s@g**m	1

Committer Domains (Top 20 + Academic)

github.com: 2 roederzeibig.de: 1 yahoo.com.br: 1 hanss.info: 1 gwdg.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 22
Total pull requests: 22
Average time to close issues: 5 months
Average time to close pull requests: 3 months
Total issue authors: 10
Total pull request authors: 9
Average comments per issue: 4.27
Average comments per pull request: 0.64
Merged pull requests: 19
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 2
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 2
Pull request authors: 0
Average comments per issue: 0.0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

Nowosad (5)
marcosci (5)
bniebuhr (3)
maelle (2)
jeroen (2)
GwynCase (1)
nldoc (1)
garciacallejas (1)
wegmann (1)
poroc300 (1)

Pull Request Authors

marcosci (7)
bitbacchus (4)
mhesselbarth (3)
Nowosad (2)
bniebuhr (2)
katrinleinweber (1)
Bisaloo (1)
JoshOBrien (1)
laurajanegraham (1)

Top Labels

Issue Labels

enhancement (5) help wanted (1) bug (1) question (1)

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- cran 306 last-month
Total docker downloads: 88,618

Total dependent packages: 1
Total dependent repositories: 5
Total versions: 3
Total maintainers: 1

cran.r-project.org: landscapetools

Landscape Utility Toolbox

Homepage: https://ropensci.github.io/landscapetools/
Documentation: http://cran.r-project.org/web/packages/landscapetools/landscapetools.pdf
License: GPL-3
Status: removed
Latest release: 0.5.0
published almost 7 years ago

Versions: 3
Dependent Packages: 1
Dependent Repositories: 5
Downloads: 306 Last month
Docker Downloads: 88,618

Rankings

Docker downloads count: 0.0%

Forks count: 4.6%

Stargazers count: 7.1%

Average: 11.6%

Dependent repos count: 13.0%

Dependent packages count: 18.1%

Downloads: 27.0%

Maintainers (1)

sciaini.marco@gmail.com

Last synced: 6 months ago

Dependencies

DESCRIPTION cran

R >= 3.1.0 depends
Rcpp * imports
ggplot2 * imports
raster * imports
tibble * imports
covr * suggests
knitr * suggests
rmarkdown * suggests
testthat * suggests

ecosyste.ms

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Applications

Experiments

Open Source Science

landscapetools

Science Score: 23.0%

Keywords

Keywords from Contributors

Repository

Basic Info

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Topics

Metadata Files

README.Rmd

Owner

GitHub Events

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Last Year

Committers

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Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

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Packages

cran.r-project.org: landscapetools

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