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23 changes: 7 additions & 16 deletions papers/index.qmd
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<p><strong>Mahoney, M. J.</strong>, Johnson, L. K., Silge, J., Frick, H., Kuhn, M., and Beier, C. M. In Review. Assessing the performance of spatial cross-validation approaches for models of spatially structured data. <a href="https://arxiv.org/abs/2303.07334">https://arxiv.org/abs/2303.07334</a> <a href='https://arxiv.org/pdf/2303.07334'>[PDF]</a></p>
<p><strong>Mahoney, M. J.</strong>, Johnson, L. K., and Beier, C. M. 2023. AI for shrubland identification and mapping. In Sun Z, Cristea N, Rivas P (eds.), _Artificial Intelligence in Earth Science_, 295-316. Elsevier. ISBN 978-0-323-91737-7. <a href="https://doi.org/10.1016/B978-0-323-91737-7.00010-4">https://doi.org/10.1016/B978-0-323-91737-7.00010-4</a> <a href='shrub_book_2023.pdf'>[PDF]</a></p>
<h3>2022</h3>
<p><strong>Mahoney, M. J.</strong>, Johnson, L. K., Guinan, A. Z., and Beier, C. M. 2022. Classification and mapping of low‑statured ’shrubland’ cover types in post‑agricultural landscapes of the US Northeast. <em>The International Journal of Remote Sensing</em>, 43(19‑24), 7117‑7138. <a href="https://doi.org/10.1080/01431161.2022.2155086">https://doi.org/10.1080/01431161.2022.2155086</a> <a href='shrubland_pub_2022.pdf'>[PDF]</a>
</p>
<p><strong>Mahoney, M. J.</strong>, Johnson, L. K., Guinan, A. Z., and Beier, C. M. 2022. Classification and mapping of low‑statured ’shrubland’ cover types in post‑agricultural landscapes of the US Northeast. <em>The International Journal of Remote Sensing</em>, 43(19‑24), 7117‑7138. <a href="https://doi.org/10.1080/01431161.2022.2155086">https://doi.org/10.1080/01431161.2022.2155086</a> <a href='shrubland_pub_2022.pdf'>[PDF]</a></p>
<p>Johnson, L. K., <strong>Mahoney, M. J.</strong>, Bevilacqua, E., Stehman, S. V., Domke, G. M., and Beier, C. M. In Review. Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. <em>International Journal of Applied Earth Observation and Geoinformation</em> 114: 103059. <a href="https://doi.org/10.1016/j.jag.2022.103059">https://doi.org/10.1016/j.jag.2022.103059</a> <a href='lidar_agb_2022.pdf'>[PDF]</a></p>
<p><strong>Mahoney, M. J.</strong>, Johnson, L. K., Bevilacqua, E., and Beier, C. M. 2022. Ground noise filtering produces inferior models of forest aboveground biomass. <em>GIScience and Remote Sensing</em> 59(1): 1266-1280. <a href="https://doi.org/10.1080/15481603.2022.2103069">https://doi.org/10.1080/15481603.2022.2103069</a> <a href='groundfiltering_2022.pdf'>[PDF]</a>
</p>
<p><strong>Mahoney, M. J.</strong>, Beier, CM, and Ackerman, AC. 2022. unifir: A Unifying API for Interacting with Unity from R. <em>Journal of Open Source Software</em> 7(73): 4388. <a href="https://doi.org/10.21105/joss.04388">https://doi.org/10.21105/joss.04388</a> <a href='unifir_2022.pdf'>[PDF]</a>
</p>
<p>
Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L. K., Phoenix, D. B., and, <strong>Mahoney, M. J.</strong> 2022. Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis. <em>Geocarto International</em>. <a href="https://doi.org/10.1080/10106049.2022.2071475">https://doi.org/10.1080/10106049.2022.2071475</a>
</p>
<p><strong>Mahoney, M. J.</strong>, Beier, CM, and Ackerman, AC. 2022. terrainr: An R package for creating immersive virtual environments. <em>Journal of Open Source Software</em> 7(69): 4060. <a href="https://doi.org/10.21105/joss.04060">https://doi.org/10.21105/joss.04060</a> <a href='terrainr_2022.pdf'>[PDF]</a>
</p>
<p><strong>Mahoney, M. J.</strong>, Johnson, L. K., Bevilacqua, E., and Beier, C. M. 2022. Ground noise filtering produces inferior models of forest aboveground biomass. <em>GIScience and Remote Sensing</em> 59(1): 1266-1280. <a href="https://doi.org/10.1080/15481603.2022.2103069">https://doi.org/10.1080/15481603.2022.2103069</a> <a href='groundfiltering_2022.pdf'>[PDF]</a></p>
<p><strong>Mahoney, M. J.</strong>, Beier, CM, and Ackerman, AC. 2022. unifir: A Unifying API for Interacting with Unity from R. <em>Journal of Open Source Software</em> 7(73): 4388. <a href="https://doi.org/10.21105/joss.04388">https://doi.org/10.21105/joss.04388</a> <a href='unifir_2022.pdf'>[PDF]</a></p>
<p>Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L. K., Phoenix, D. B., and, <strong>Mahoney, M. J.</strong> 2022. Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis. <em>Geocarto International</em>. <a href="https://doi.org/10.1080/10106049.2022.2071475">https://doi.org/10.1080/10106049.2022.2071475</a></p>
<p><strong>Mahoney, M. J.</strong>, Beier, CM, and Ackerman, AC. 2022. terrainr: An R package for creating immersive virtual environments. <em>Journal of Open Source Software</em> 7(69): 4060. <a href="https://doi.org/10.21105/joss.04060">https://doi.org/10.21105/joss.04060</a> <a href='terrainr_2022.pdf'>[PDF]</a></p>
<h3>2021</h3>
<p><strong>Mahoney, M. J.</strong>, Beier, CM, and Ackerman, AC. 2021. Interactive landscape simulations for visual resource assessment. <em>VRSC 2021 Conference Proceedings.</em> <a href='vrs_2021.pdf'>[PDF]</a>
</p>
<p><strong>Mahoney, M. J.</strong>, Beier, CM, and Ackerman, AC. 2021. Interactive landscape simulations for visual resource assessment. <em>VRSC 2021 Conference Proceedings.</em> <a href='vrs_2021.pdf'>[PDF]</a></p>
<h3>2020</h3>
<p>
<strong>Mahoney, M. J.</strong>, and Stella, JC. 2020. Stem size selectivity is stronger than species preferences for beaver, a central place forager. <em>Forest Ecology and Management</em> 475: 118331. <a href='https://doi.org/10.1016/j.foreco.2020.118331'>https://doi.org/10.1016/j.foreco.2020.118331</a> <a href='mahoney_stella_2020.pdf'>[PDF]</a>
</p>
<p><strong>Mahoney, M. J.</strong>, and Stella, JC. 2020. Stem size selectivity is stronger than species preferences for beaver, a central place forager. <em>Forest Ecology and Management</em> 475: 118331. <a href='https://doi.org/10.1016/j.foreco.2020.118331'>https://doi.org/10.1016/j.foreco.2020.118331</a> <a href='mahoney_stella_2020.pdf'>[PDF]</a></p>
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2 changes: 1 addition & 1 deletion software_citations.qmd
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Expand Up @@ -117,7 +117,7 @@ The following are self-citations:

#. Mahoney, MJ In Review. waywiser: Ergonomic methods for assessing spatial models. https://arxiv.org/abs/2303.11312

rsample is used in (but not cited in) [Wang et al 2023](https://dx.doi.org/10.2139/ssrn.4333412); [Lienard et al 2022](https://royalsocietypublishing.org/doi/full/10.1098/rstb.2021.0279); [Adu-Oppong et al 2022](https://doi.org/10.1186/s40168-021-01204-9); [Zappaterra et al 2022](https://doi.org/10.3390/app12031078); [Mull et al 2022](https://doi.org/10.1111/1365-2656.13694); [Dematheis et al 2022](https://doi.org/10.3390/microorganisms10081658); [Bellows et al 2022](https://doi.org/10.1093/ajh/hpac005); [Yates et al](https://doi.org/10.1002/ecm.1557); [Stevelink et al 2022](https://doi.org/10.1016/j.eclinm.2022.101732); [Bartz-Beielstein et al 2023](https://doi.org/10.1007/978-981-19-5170-1_8); [Han Nh 2022](https://doi.org/10.21203/rs.3.rs-1968295/v1); [Yan et al 2023](https://doi.org/10.1038/s41598-022-27150-6); [dos Santos et al 2022](https://doi.org/10.1016/j.compag.2022.106753); [Badonyi et al 2022](https://doi.org/10.1101/2022.11.17.516863); [Badonyi et al 2022](https://doi.org/10.7554/eLife.79602); [Peguero et al 2023](https://doi.org/10.1007/s11207-023-02140-7).
rsample is used in (but not cited in) [Wang et al 2023](https://dx.doi.org/10.2139/ssrn.4333412); [Lienard et al 2022](https://royalsocietypublishing.org/doi/full/10.1098/rstb.2021.0279); [Adu-Oppong et al 2022](https://doi.org/10.1186/s40168-021-01204-9); [Zappaterra et al 2022](https://doi.org/10.3390/app12031078); [Mull et al 2022](https://doi.org/10.1111/1365-2656.13694); [Dematheis et al 2022](https://doi.org/10.3390/microorganisms10081658); [Bellows et al 2022](https://doi.org/10.1093/ajh/hpac005); [Yates et al](https://doi.org/10.1002/ecm.1557); [Stevelink et al 2022](https://doi.org/10.1016/j.eclinm.2022.101732); [Bartz-Beielstein et al 2023](https://doi.org/10.1007/978-981-19-5170-1_8); [Han Nh 2022](https://doi.org/10.21203/rs.3.rs-1968295/v1); [Yan et al 2023](https://doi.org/10.1038/s41598-022-27150-6); [dos Santos et al 2022](https://doi.org/10.1016/j.compag.2022.106753); [Badonyi et al 2022](https://doi.org/10.1101/2022.11.17.516863); [Badonyi et al 2022](https://doi.org/10.7554/eLife.79602); [Peguero et al 2023](https://doi.org/10.1007/s11207-023-02140-7); [Howard et al 2023](https://doi.org/10.1016/j.humov.2023.103089).

```{r}
citation("rsample")
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