Skip to content

Commit

Permalink
changes to citations and references
Browse files Browse the repository at this point in the history
KvEijden committed Apr 6, 2021
1 parent fe97d1c commit e439136
Showing 1 changed file with 5 additions and 6 deletions.
11 changes: 5 additions & 6 deletions README.md
Original file line number Diff line number Diff line change
@@ -5,7 +5,7 @@

### Introduction

The SCCA package implements in R the methodological approach to CA as proposed in **Correspondence analysis, spectral clustering and graph embedding: applications to ecology and economic complexity** (van Dam et al; 2021).
The SCCA package implements in R the methodological approach to CA as proposed in **Correspondence analysis, spectral clustering and graph embedding: applications to ecology and economic complexity** [van Dam et al; 2021](#article).

### Installation

@@ -31,7 +31,7 @@ sources of the included datasets. See there for licences of those data sets.
### References

#### Software
Dam, Alje van et al; 2021 (in review); **Correspondence analysis, spectral clustering and graph embedding: applications to ecology and economic complexity**; Scientific Reports; DOI: <doi>.
<a name="article"></a>van Dam, Alje, Dekker, Mark, Morales-Castilla, Ignacio, Rodríguez, Miguel Á., Wichmann, David and Baudena, Mara (2021); Correspondence analysis, spectral clustering and graph embedding: applications to ecology and economic complexity; _Scientific Reports_.

#### Included data set
Faurby, Søren e.a; 2019; [HYLACINE 1.2: The Phylogenetic Atlas of Mammal Macroecology](https://datadryad.org/stash/dataset/doi:10.5061/dryad.bp26v20)
@@ -55,13 +55,12 @@ The team members are:
- Mara Baudena, National Research Council of Italy, Institute of Atmospheric Science and Climate (CNR-ISAC), Turin, Italy; Copernicus Institute of Sustainable Development and Centre for Complex Systems Studies, Utrecht University, the Netherlands



### How to cite SCCA

To cite the SCCA repository and R package, use `citation("SCCA")` to retrieve the BibTex entry. Otherwise use the following format:

van Dam et al, 2021 SCCA: Spectral Clustering Correspondence Analysis in R. Utrecht University. DOI: 12.1234/xxxxxx.1234567.
Available at [Utrecht University](https://github.com/UtrechtUniversity/SCCA).
van Eijden, Kees et al; 2021; SCCA: Spectral Clustering Correspondence Analysis in R; Utrecht University; DOI: 10.5281/zenodo.4665670.
Also available at [Utrecht University](https://github.com/UtrechtUniversity/SCCA).

Please also cite the paper van Dam et al, 2021 Scientific Report (in review) when using the SCCA repository.
Please also cite the paper [van Dam et al, 2021](#article) when using the SCCA repository.

0 comments on commit e439136

Please sign in to comment.