Skip to content

Commit

Permalink
Merge pull request #4772 from openjournals/joss.05751
Browse files Browse the repository at this point in the history
Merging automatically
  • Loading branch information
editorialbot authored Nov 10, 2023
2 parents 68c4607 + 6f17a48 commit a3a6ace
Show file tree
Hide file tree
Showing 5 changed files with 1,086 additions and 0 deletions.
361 changes: 361 additions & 0 deletions joss.05751/10.21105.joss.05751.crossref.xml
Original file line number Diff line number Diff line change
@@ -0,0 +1,361 @@
<?xml version="1.0" encoding="UTF-8"?>
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1"
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd"
xmlns:rel="http://www.crossref.org/relations.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
version="5.3.1"
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd">
<head>
<doi_batch_id>20231110T171446-e256acf98ee6462731ff6f9449730cadd724dc70</doi_batch_id>
<timestamp>20231110171446</timestamp>
<depositor>
<depositor_name>JOSS Admin</depositor_name>
<email_address>[email protected]</email_address>
</depositor>
<registrant>The Open Journal</registrant>
</head>
<body>
<journal>
<journal_metadata>
<full_title>Journal of Open Source Software</full_title>
<abbrev_title>JOSS</abbrev_title>
<issn media_type="electronic">2475-9066</issn>
<doi_data>
<doi>10.21105/joss</doi>
<resource>https://joss.theoj.org</resource>
</doi_data>
</journal_metadata>
<journal_issue>
<publication_date media_type="online">
<month>11</month>
<year>2023</year>
</publication_date>
<journal_volume>
<volume>8</volume>
</journal_volume>
<issue>91</issue>
</journal_issue>
<journal_article publication_type="full_text">
<titles>
<title>Using the tidyverse with terra objects: the tidyterra
package</title>
</titles>
<contributors>
<person_name sequence="first" contributor_role="author">
<given_name>Diego</given_name>
<surname>Hernangómez</surname>
<ORCID>https://orcid.org/0000-0001-8457-4658</ORCID>
</person_name>
</contributors>
<publication_date>
<month>11</month>
<day>10</day>
<year>2023</year>
</publication_date>
<pages>
<first_page>5751</first_page>
</pages>
<publisher_item>
<identifier id_type="doi">10.21105/joss.05751</identifier>
</publisher_item>
<ai:program name="AccessIndicators">
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
</ai:program>
<rel:program>
<rel:related_item>
<rel:description>Software archive</rel:description>
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.10078157</rel:inter_work_relation>
</rel:related_item>
<rel:related_item>
<rel:description>GitHub review issue</rel:description>
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/5751</rel:inter_work_relation>
</rel:related_item>
</rel:program>
<doi_data>
<doi>10.21105/joss.05751</doi>
<resource>https://joss.theoj.org/papers/10.21105/joss.05751</resource>
<collection property="text-mining">
<item>
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.05751.pdf</resource>
</item>
</collection>
</doi_data>
<citation_list>
<citation key="bahlburg2023">
<article_title>An intercomparison of models predicting
growth of Antarctic krill (Euphausia superba): The importance of
recognizing model specificity</article_title>
<author>Bahlburg</author>
<journal_title>PLOS ONE</journal_title>
<issue>7</issue>
<volume>18</volume>
<doi>10.1371/journal.pone.0286036</doi>
<cYear>2023</cYear>
<unstructured_citation>Bahlburg, D., Thorpe, S. E., Meyer,
B., Berger, U., &amp; 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</unstructured_citation>
</citation>
<citation key="moraga2023">
<volume_title>Spatial Statistics for Data Science: Theory
and Practice with R</volume_title>
<author>Moraga</author>
<cYear>2023</cYear>
<unstructured_citation>Moraga, P. (2023). Spatial Statistics
for Data Science: Theory and Practice with R. Chapman &amp; Hall/CRC.
https://www.paulamoraga.com/book-spatial/</unstructured_citation>
</citation>
<citation key="R-biomod2">
<volume_title>biomod2: Ensemble platform for species
distribution modeling</volume_title>
<author>Thuiller</author>
<cYear>2023</cYear>
<unstructured_citation>Thuiller, W., Georges, D., Gueguen,
M., Engler, R., Breiner, F., Lafourcade, B., &amp; Patin, R. (2023).
biomod2: Ensemble platform for species distribution
modeling.</unstructured_citation>
</citation>
<citation key="R-dplyr">
<article_title>dplyr: A grammar of data
manipulation</article_title>
<author>Wickham</author>
<cYear>2023</cYear>
<unstructured_citation>Wickham, H., François, R., Henry, L.,
Müller, K., &amp; Vaughan, D. (2023). dplyr: A grammar of data
manipulation (Version 1.1.2).
https://dplyr.tidyverse.org</unstructured_citation>
</citation>
<citation key="R-ebvcube">
<volume_title>ebvcube: Working with netCDF for essential
biodiversity variables</volume_title>
<author>Quoss</author>
<cYear>2021</cYear>
<unstructured_citation>Quoss, L., Fernandez, N., Langer, C.,
Valdez, J., &amp; Pereira, H. M. (2021). ebvcube: Working with netCDF
for essential biodiversity variables. German Centre for Integrative
Biodiversity Research (iDiv) Halle-Jena-Leipzig.
https://github.com/LuiseQuoss/ebvcube</unstructured_citation>
</citation>
<citation key="R-ggplot2">
<volume_title>ggplot2: Elegant graphics for data
analysis</volume_title>
<author>Wickham</author>
<isbn>978-3-319-24277-4</isbn>
<cYear>2016</cYear>
<unstructured_citation>Wickham, H. (2016). ggplot2: Elegant
graphics for data analysis. Springer-Verlag New York.
ISBN: 978-3-319-24277-4</unstructured_citation>
</citation>
<citation key="R-inlabru">
<article_title>inlabru: An R package for Bayesian spatial
modelling from ecological survey data</article_title>
<author>Bachl</author>
<journal_title>Methods in Ecology and
Evolution</journal_title>
<volume>10</volume>
<doi>10.1111/2041-210X.13168</doi>
<cYear>2019</cYear>
<unstructured_citation>Bachl, F. E., Lindgren, F., Borchers,
D. L., &amp; Illian, J. B. (2019). inlabru: An R package for Bayesian
spatial modelling from ecological survey data. Methods in Ecology and
Evolution, 10, 760–766.
https://doi.org/10.1111/2041-210X.13168</unstructured_citation>
</citation>
<citation key="R-isoband">
<volume_title>isoband: Generate isolines and isobands from
regularly spaced elevation grids</volume_title>
<author>Wickham</author>
<cYear>2022</cYear>
<unstructured_citation>Wickham, H., Wilke, C. O., &amp;
Pedersen, T. L. (2022). isoband: Generate isolines and isobands from
regularly spaced elevation grids.
https://CRAN.R-project.org/package=isoband</unstructured_citation>
</citation>
<citation key="r-project">
<volume_title>R: A language and environment for statistical
computing</volume_title>
<author>R Core Team</author>
<cYear>2023</cYear>
<unstructured_citation>R Core Team. (2023). R: A language
and environment for statistical computing. R Foundation for Statistical
Computing. https://www.R-project.org/</unstructured_citation>
</citation>
<citation key="R-rczechia">
<article_title>RCzechia: Spatial objects of the Czech
Republic</article_title>
<author>Lacko</author>
<journal_title>Journal of Open Source
Software</journal_title>
<issue>83</issue>
<volume>8</volume>
<doi>10.21105/joss.05082</doi>
<cYear>2023</cYear>
<unstructured_citation>Lacko, J. (2023). RCzechia: Spatial
objects of the Czech Republic. Journal of Open Source Software, 8(83).
https://doi.org/10.21105/joss.05082</unstructured_citation>
</citation>
<citation key="R-sparrpowr">
<article_title>sparrpowR: A flexible R package to estimate
statistical power to identify spatial clustering of two groups and its
application</article_title>
<author>Buller</author>
<journal_title>International Journal of Health
Geographics</journal_title>
<issue>1</issue>
<volume>20</volume>
<doi>10.1186/s12942-021-00267-z</doi>
<cYear>2021</cYear>
<unstructured_citation>Buller, I. D., Brown, D. W., Myers,
T. A., Jones, R. R., &amp; Machiela, M. J. (2021). sparrpowR: A flexible
R package to estimate statistical power to identify spatial clustering
of two groups and its application. International Journal of Health
Geographics, 20(1), 1–7.
https://doi.org/10.1186/s12942-021-00267-z</unstructured_citation>
</citation>
<citation key="R-terra">
<volume_title>terra: Spatial data analysis</volume_title>
<author>Hijmans</author>
<cYear>2023</cYear>
<unstructured_citation>Hijmans, R. J. (2023). terra: Spatial
data analysis. https://rspatial.org/</unstructured_citation>
</citation>
<citation key="R-tibble">
<article_title>tibble: Simple data frames</article_title>
<author>Müller</author>
<cYear>2023</cYear>
<unstructured_citation>Müller, K., &amp; Wickham, H. (2023).
tibble: Simple data frames (Version 3.2.1).
https://tibble.tidyverse.org/</unstructured_citation>
</citation>
<citation key="R-tidyr">
<article_title>tidyr: Tidy messy data</article_title>
<author>Wickham</author>
<cYear>2023</cYear>
<unstructured_citation>Wickham, H., Vaughan, D., &amp;
Girlich, M. (2023). tidyr: Tidy messy data (Version 1.3.0).
https://tidyr.tidyverse.org</unstructured_citation>
</citation>
<citation key="R-tidyverse">
<article_title>Welcome to the tidyverse</article_title>
<author>Wickham</author>
<journal_title>Journal of Open Source
Software</journal_title>
<issue>43</issue>
<volume>4</volume>
<doi>10.21105/joss.01686</doi>
<cYear>2019</cYear>
<unstructured_citation>Wickham, H., Averick, M., Bryan, J.,
Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A.,
Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S.
M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., …
Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source
Software, 4(43), 1686.
https://doi.org/10.21105/joss.01686</unstructured_citation>
</citation>
<citation key="wickham_s32019">
<article_title>S3</article_title>
<author>Wickham</author>
<journal_title>Advanced R</journal_title>
<doi>10.1201/9781351201315</doi>
<cYear>2019</cYear>
<unstructured_citation>Wickham, H. (2019). S3. In Advanced R
(2nd ed.). Chapman; Hall/CRC.
https://doi.org/10.1201/9781351201315</unstructured_citation>
</citation>
<citation key="R-sf">
<article_title>Simple Features for R: Standardized Support
for Spatial Vector Data</article_title>
<author>Pebesma</author>
<journal_title>The R Journal</journal_title>
<issue>1</issue>
<volume>10</volume>
<doi>10.32614/RJ-2018-009</doi>
<cYear>2018</cYear>
<unstructured_citation>Pebesma, E. (2018). Simple Features
for R: Standardized Support for Spatial Vector Data. The R Journal,
10(1), 439–446.
https://doi.org/10.32614/RJ-2018-009</unstructured_citation>
</citation>
<citation key="R-stars">
<volume_title>Spatial Data Science: With applications in
R</volume_title>
<author>Pebesma</author>
<doi>10.1201/9780429459016</doi>
<cYear>2023</cYear>
<unstructured_citation>Pebesma, E., &amp; Bivand, R. (2023).
Spatial Data Science: With applications in R (p. 352). Chapman;
Hall/CRC. https://doi.org/10.1201/9780429459016</unstructured_citation>
</citation>
<citation key="R-rastervis">
<volume_title>rasterVis</volume_title>
<author>Perpiñán</author>
<cYear>2023</cYear>
<unstructured_citation>Perpiñán, O., &amp; Hijmans, R.
(2023). rasterVis.
https://oscarperpinan.github.io/rastervis/</unstructured_citation>
</citation>
<citation key="R-ggspatial">
<volume_title>ggspatial: Spatial data framework for
ggplot2</volume_title>
<author>Dunnington</author>
<cYear>2023</cYear>
<unstructured_citation>Dunnington, D. (2023). ggspatial:
Spatial data framework for ggplot2.
https://CRAN.R-project.org/package=ggspatial</unstructured_citation>
</citation>
<citation key="whitebox">
<article_title>Whitebox-tools</article_title>
<author>Lindsay</author>
<cYear>2018</cYear>
<unstructured_citation>Lindsay, J. (2018). Whitebox-tools.
GitHub repository.
https://github.com/jblindsay/whitebox-tools</unstructured_citation>
</citation>
<citation key="Patterson_Jenny_2011">
<article_title>The development and rationale of
cross-blended hypsometric tints</article_title>
<author>Patterson</author>
<journal_title>Cartographic Perspectives</journal_title>
<issue>69</issue>
<doi>10.14714/CP69.20</doi>
<cYear>2011</cYear>
<unstructured_citation>Patterson, T., &amp; Jenny, B.
(2011). The development and rationale of cross-blended hypsometric
tints. Cartographic Perspectives, 69, 31–46.
https://doi.org/10.14714/CP69.20</unstructured_citation>
</citation>
<citation key="Leonardi2023">
<article_title>tidysdm: Leveraging the flexibility of
tidymodels for species distribution modelling in R</article_title>
<author>Leonardi</author>
<journal_title>bioRxiv</journal_title>
<doi>10.1101/2023.07.24.550358</doi>
<cYear>2023</cYear>
<unstructured_citation>Leonardi, M., Colucci, M., &amp;
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</unstructured_citation>
</citation>
<citation key="meister2023">
<article_title>Blue mussels in western Norway have vanished
where in reach of crawling predators</article_title>
<author>Meister</author>
<journal_title>Marine Ecology Progress
Series</journal_title>
<volume>721</volume>
<doi>10.3354/meps14416</doi>
<cYear>2023</cYear>
<unstructured_citation>Meister, N., Langbehn, T. J., Varpe,
Ø., &amp; 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</unstructured_citation>
</citation>
</citation_list>
</journal_article>
</journal>
</body>
</doi_batch>
Loading

0 comments on commit a3a6ace

Please sign in to comment.