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-      <a href="articles/dsmextra-bigdata.html">Using compute_nearby on big datasets</a>
+      <a href="articles/dsmextra-bigdata.html">Using compute_nearby with big datasets</a>
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       <a href="articles/dsmextra-covariateselection.html">Selecting covariates using dsmextra</a>
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 <div id="getting-started" class="section level3">
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 <a href="#getting-started" class="anchor"></a>Getting started</h3>
-<p>If you are just getting started with <code>dsmextra</code>, we recommend reading the tutorial <a href="https://densitymodelling.github.io/dsmextra/articles/dsmextra.html">vignette</a>, which provides a quick introduction to the package. You may also find the below technical report useful:</p>
+<p>If you are just getting started with <code>dsmextra</code>, we recommend reading the tutorial <a href="https://densitymodelling.github.io/dsmextra/articles/dsmextra.html">vignette</a>, which provides a quick introduction to the package. You may also find the below paper and technical report useful:</p>
 <ul>
 <li><p>Bouchet et al. (2020). dsmextra: Extrapolation assessment tools for density surface models. Methods in Ecology and Evolution. DOI: <a href="https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13469">10.1111/2041-210X.13469</a></p></li>
 <li><p>Bouchet et al. (2020). <a href="https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/18509/Denmod_ExtrapolationReport_final_Aug2019.pdf?sequence=1&amp;isAllowed=y">From here and now to there and then: Practical recommendations for extrapolating cetacean density surface models to novel conditions</a>. CREEM technical report 2019-01 v2.0, Centre for Research into Ecological &amp; Environmental Modelling (CREEM), University of St Andrews, 59 p.</p></li>
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 <div id="acknowledgements" class="section level3">
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 <a href="#acknowledgements" class="anchor"></a>Acknowledgements</h3>
-<p>This R package was developed for the <a href="https://synergy.st-andrews.ac.uk/denmod/">DenMod project</a> (Working group for the advancement of marine species density surface modelling), and was funded by OPNAV N45 and the SURTASS LFA Settlement Agreement, being managed by the U.S. Navy’s Living Marine Resources program under Contract No. N39430-17-C-1982. The sperm whale data showcased in the <a href="https://densitymodelling.github.io/dsmextra/articles/dsmextra-vignette.html">online vignette</a> were provided by Debi Palka (NOAA North East Fisheries Science Center) and Lance Garrison (NOAA South East Fisheries Science Center). Initial data processing was undertaken by Jason Roberts (Marine Geospatial Ecology Lab, Duke University).</p>
+<p>This R package was developed for the <a href="https://synergy.st-andrews.ac.uk/denmod/">DenMod project</a> (Working group for the advancement of marine species density surface modelling), and was funded by OPNAV N45 and the SURTASS LFA Settlement Agreement, being managed by the U.S. Navy’s Living Marine Resources program under Contract No. N39430-17-C-1982. The sperm whale data showcased in the <a href="https://densitymodelling.github.io/dsmextra/articles/dsmextra.html">online vignette</a> were provided by Debi Palka (NOAA North East Fisheries Science Center) and Lance Garrison (NOAA South East Fisheries Science Center). Initial data processing was undertaken by Jason Roberts (Marine Geospatial Ecology Lab, Duke University).</p>
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 <div id="installation" class="section level3">
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