background-image: url(images/coastal_map.png) background-position: top right background-size: contain class: middle, left # Mapping Ocean Stories ## Dr. Laurie Baker, College of the Atlantic ### Woods Hole Oceanographic Institute, 19 and 20 March, 2024 .footnote[] --- class: middle, left # About me .pull-left[ .center[ <img style="border-radius: 50%;" src="images/laurie_baker.jpg" width="350px"/> ### Dr. Laurie Baker ]] .pull-right[ ### <svg viewBox="0 0 640 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M622.34 153.2L343.4 67.5c-15.2-4.67-31.6-4.67-46.79 0L17.66 153.2c-23.54 7.23-23.54 38.36 0 45.59l48.63 14.94c-10.67 13.19-17.23 29.28-17.88 46.9C38.78 266.15 32 276.11 32 288c0 10.78 5.68 19.85 13.86 25.65L20.33 428.53C18.11 438.52 25.71 448 35.94 448h56.11c10.24 0 17.84-9.48 15.62-19.47L82.14 313.65C90.32 307.85 96 298.78 96 288c0-11.57-6.47-21.25-15.66-26.87.76-15.02 8.44-28.3 20.69-36.72L296.6 284.5c9.06 2.78 26.44 6.25 46.79 0l278.95-85.7c23.55-7.24 23.55-38.36 0-45.6zM352.79 315.09c-28.53 8.76-52.84 3.92-65.59 0l-145.02-44.55L128 384c0 35.35 85.96 64 192 64s192-28.65 192-64l-14.18-113.47-145.03 44.56z"></path></svg> BSc Marine Biology, University of St. Andrews ### <svg viewBox="0 0 640 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M622.34 153.2L343.4 67.5c-15.2-4.67-31.6-4.67-46.79 0L17.66 153.2c-23.54 7.23-23.54 38.36 0 45.59l48.63 14.94c-10.67 13.19-17.23 29.28-17.88 46.9C38.78 266.15 32 276.11 32 288c0 10.78 5.68 19.85 13.86 25.65L20.33 428.53C18.11 438.52 25.71 448 35.94 448h56.11c10.24 0 17.84-9.48 15.62-19.47L82.14 313.65C90.32 307.85 96 298.78 96 288c0-11.57-6.47-21.25-15.66-26.87.76-15.02 8.44-28.3 20.69-36.72L296.6 284.5c9.06 2.78 26.44 6.25 46.79 0l278.95-85.7c23.55-7.24 23.55-38.36 0-45.6zM352.79 315.09c-28.53 8.76-52.84 3.92-65.59 0l-145.02-44.55L128 384c0 35.35 85.96 64 192 64s192-28.65 192-64l-14.18-113.47-145.03 44.56z"></path></svg> Msc Marine Biology, Dalhousie University ### <svg viewBox="0 0 640 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M622.34 153.2L343.4 67.5c-15.2-4.67-31.6-4.67-46.79 0L17.66 153.2c-23.54 7.23-23.54 38.36 0 45.59l48.63 14.94c-10.67 13.19-17.23 29.28-17.88 46.9C38.78 266.15 32 276.11 32 288c0 10.78 5.68 19.85 13.86 25.65L20.33 428.53C18.11 438.52 25.71 448 35.94 448h56.11c10.24 0 17.84-9.48 15.62-19.47L82.14 313.65C90.32 307.85 96 298.78 96 288c0-11.57-6.47-21.25-15.66-26.87.76-15.02 8.44-28.3 20.69-36.72L296.6 284.5c9.06 2.78 26.44 6.25 46.79 0l278.95-85.7c23.55-7.24 23.55-38.36 0-45.6zM352.79 315.09c-28.53 8.76-52.84 3.92-65.59 0l-145.02-44.55L128 384c0 35.35 85.96 64 192 64s192-28.65 192-64l-14.18-113.47-145.03 44.56z"></path></svg> PhD Ecology and Evolution, University of Glasgow ] .center[ [<svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M326.612 185.391c59.747 59.809 58.927 155.698.36 214.59-.11.12-.24.25-.36.37l-67.2 67.2c-59.27 59.27-155.699 59.262-214.96 0-59.27-59.26-59.27-155.7 0-214.96l37.106-37.106c9.84-9.84 26.786-3.3 27.294 10.606.648 17.722 3.826 35.527 9.69 52.721 1.986 5.822.567 12.262-3.783 16.612l-13.087 13.087c-28.026 28.026-28.905 73.66-1.155 101.96 28.024 28.579 74.086 28.749 102.325.51l67.2-67.19c28.191-28.191 28.073-73.757 0-101.83-3.701-3.694-7.429-6.564-10.341-8.569a16.037 16.037 0 0 1-6.947-12.606c-.396-10.567 3.348-21.456 11.698-29.806l21.054-21.055c5.521-5.521 14.182-6.199 20.584-1.731a152.482 152.482 0 0 1 20.522 17.197zM467.547 44.449c-59.261-59.262-155.69-59.27-214.96 0l-67.2 67.2c-.12.12-.25.25-.36.37-58.566 58.892-59.387 154.781.36 214.59a152.454 152.454 0 0 0 20.521 17.196c6.402 4.468 15.064 3.789 20.584-1.731l21.054-21.055c8.35-8.35 12.094-19.239 11.698-29.806a16.037 16.037 0 0 0-6.947-12.606c-2.912-2.005-6.64-4.875-10.341-8.569-28.073-28.073-28.191-73.639 0-101.83l67.2-67.19c28.239-28.239 74.3-28.069 102.325.51 27.75 28.3 26.872 73.934-1.155 101.96l-13.087 13.087c-4.35 4.35-5.769 10.79-3.783 16.612 5.864 17.194 9.042 34.999 9.69 52.721.509 13.906 17.454 20.446 27.294 10.606l37.106-37.106c59.271-59.259 59.271-155.699.001-214.959z"></path></svg> lauriebaker.rbind.io](https://lauriebaker.rbind.io) [<svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"></path></svg> @llbaker1707](https://twitter.com/llbaker1707) [<svg viewBox="0 0 496 512" style="position:relative;display:inline-block;top:.1em;height:1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg> @laurielbaker](https://github.com/laurielbaker) ] --- class: middle, left # About me .pull-left[ .center[ <img style="border-radius: 50%;" src="images/laurie_baker.jpg" width="350px"/> ### Dr. Laurie Baker ]] .pull-right[ #### <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M201.5 174.8l55.7 55.8c3.1 3.1 3.1 8.2 0 11.3l-11.3 11.3c-3.1 3.1-8.2 3.1-11.3 0l-55.7-55.8-45.3 45.3 55.8 55.8c3.1 3.1 3.1 8.2 0 11.3l-11.3 11.3c-3.1 3.1-8.2 3.1-11.3 0L111 265.2l-26.4 26.4c-17.3 17.3-25.6 41.1-23 65.4l7.1 63.6L2.3 487c-3.1 3.1-3.1 8.2 0 11.3l11.3 11.3c3.1 3.1 8.2 3.1 11.3 0l66.3-66.3 63.6 7.1c23.9 2.6 47.9-5.4 65.4-23l181.9-181.9-135.7-135.7-64.9 65zm308.2-93.3L430.5 2.3c-3.1-3.1-8.2-3.1-11.3 0l-11.3 11.3c-3.1 3.1-3.1 8.2 0 11.3l28.3 28.3-45.3 45.3-56.6-56.6-17-17c-3.1-3.1-8.2-3.1-11.3 0l-33.9 33.9c-3.1 3.1-3.1 8.2 0 11.3l17 17L424.8 223l17 17c3.1 3.1 8.2 3.1 11.3 0l33.9-34c3.1-3.1 3.1-8.2 0-11.3l-73.5-73.5 45.3-45.3 28.3 28.3c3.1 3.1 8.2 3.1 11.3 0l11.3-11.3c3.1-3.2 3.1-8.2 0-11.4z"></path></svg> Medical Research Council Fellow, University of Glasgow #### <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M528 0H48C21.5 0 0 21.5 0 48v320c0 26.5 21.5 48 48 48h192l-16 48h-72c-13.3 0-24 10.7-24 24s10.7 24 24 24h272c13.3 0 24-10.7 24-24s-10.7-24-24-24h-72l-16-48h192c26.5 0 48-21.5 48-48V48c0-26.5-21.5-48-48-48zm-16 352H64V64h448v288z"></path></svg> Data Science Lecturer and Head of Faculty, Data Science Campus, Office for National Statistics #### <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M528 0H48C21.5 0 0 21.5 0 48v320c0 26.5 21.5 48 48 48h192l-16 48h-72c-13.3 0-24 10.7-24 24s10.7 24 24 24h272c13.3 0 24-10.7 24-24s-10.7-24-24-24h-72l-16-48h192c26.5 0 48-21.5 48-48V48c0-26.5-21.5-48-48-48zm-16 352H64V64h448v288z"></path></svg> Visiting Assistant Professor, Digital and Computational Studies, Bates College #### <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M528 0H48C21.5 0 0 21.5 0 48v320c0 26.5 21.5 48 48 48h192l-16 48h-72c-13.3 0-24 10.7-24 24s10.7 24 24 24h272c13.3 0 24-10.7 24-24s-10.7-24-24-24h-72l-16-48h192c26.5 0 48-21.5 48-48V48c0-26.5-21.5-48-48-48zm-16 352H64V64h448v288z"></path></svg> Assistant Professor, Computer Science and Data Science, College of the Atlantic ] .center[ [<svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M326.612 185.391c59.747 59.809 58.927 155.698.36 214.59-.11.12-.24.25-.36.37l-67.2 67.2c-59.27 59.27-155.699 59.262-214.96 0-59.27-59.26-59.27-155.7 0-214.96l37.106-37.106c9.84-9.84 26.786-3.3 27.294 10.606.648 17.722 3.826 35.527 9.69 52.721 1.986 5.822.567 12.262-3.783 16.612l-13.087 13.087c-28.026 28.026-28.905 73.66-1.155 101.96 28.024 28.579 74.086 28.749 102.325.51l67.2-67.19c28.191-28.191 28.073-73.757 0-101.83-3.701-3.694-7.429-6.564-10.341-8.569a16.037 16.037 0 0 1-6.947-12.606c-.396-10.567 3.348-21.456 11.698-29.806l21.054-21.055c5.521-5.521 14.182-6.199 20.584-1.731a152.482 152.482 0 0 1 20.522 17.197zM467.547 44.449c-59.261-59.262-155.69-59.27-214.96 0l-67.2 67.2c-.12.12-.25.25-.36.37-58.566 58.892-59.387 154.781.36 214.59a152.454 152.454 0 0 0 20.521 17.196c6.402 4.468 15.064 3.789 20.584-1.731l21.054-21.055c8.35-8.35 12.094-19.239 11.698-29.806a16.037 16.037 0 0 0-6.947-12.606c-2.912-2.005-6.64-4.875-10.341-8.569-28.073-28.073-28.191-73.639 0-101.83l67.2-67.19c28.239-28.239 74.3-28.069 102.325.51 27.75 28.3 26.872 73.934-1.155 101.96l-13.087 13.087c-4.35 4.35-5.769 10.79-3.783 16.612 5.864 17.194 9.042 34.999 9.69 52.721.509 13.906 17.454 20.446 27.294 10.606l37.106-37.106c59.271-59.259 59.271-155.699.001-214.959z"></path></svg> lauriebaker.rbind.io](https://lauriebaker.rbind.io) [<svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"></path></svg> @llbaker1707](https://twitter.com/llbaker1707) [<svg viewBox="0 0 496 512" style="position:relative;display:inline-block;top:.1em;height:1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg> @laurielbaker](https://github.com/laurielbaker) ] ??? --- class: middle, left # Research Interests .left-column[ .center[ <img style="border-radius: 5%;" src="images/ecology.png" width="500px"/> ] ] .right-column[ ### Spatial and temporal patterns in human and biological systems ### - Disease spread ### - Animal movement ### - Fisheries management ] --- # Target species in the Chilean longline fishery .pull-left[ .center[ <img style="border-radius: 5%;" src="images/congrio_centolla.jpg" width="700px"/> ] ] .pull-right[ ## Topics ### <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M327.1 96c-89.97 0-168.54 54.77-212.27 101.63L27.5 131.58c-12.13-9.18-30.24.6-27.14 14.66L24.54 256 .35 365.77c-3.1 14.06 15.01 23.83 27.14 14.66l87.33-66.05C158.55 361.23 237.13 416 327.1 416 464.56 416 576 288 576 256S464.56 96 327.1 96zm87.43 184c-13.25 0-24-10.75-24-24 0-13.26 10.75-24 24-24 13.26 0 24 10.74 24 24 0 13.25-10.75 24-24 24z"></path></svg> **Fisheries Management** ### <svg viewBox="0 0 496 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M336.5 160C322 70.7 287.8 8 248 8s-74 62.7-88.5 152h177zM152 256c0 22.2 1.2 43.5 3.3 64h185.3c2.1-20.5 3.3-41.8 3.3-64s-1.2-43.5-3.3-64H155.3c-2.1 20.5-3.3 41.8-3.3 64zm324.7-96c-28.6-67.9-86.5-120.4-158-141.6 24.4 33.8 41.2 84.7 50 141.6h108zM177.2 18.4C105.8 39.6 47.8 92.1 19.3 160h108c8.7-56.9 25.5-107.8 49.9-141.6zM487.4 192H372.7c2.1 21 3.3 42.5 3.3 64s-1.2 43-3.3 64h114.6c5.5-20.5 8.6-41.8 8.6-64s-3.1-43.5-8.5-64zM120 256c0-21.5 1.2-43 3.3-64H8.6C3.2 212.5 0 233.8 0 256s3.2 43.5 8.6 64h114.6c-2-21-3.2-42.5-3.2-64zm39.5 96c14.5 89.3 48.7 152 88.5 152s74-62.7 88.5-152h-177zm159.3 141.6c71.4-21.2 129.4-73.7 158-141.6h-108c-8.8 56.9-25.6 107.8-50 141.6zM19.3 352c28.6 67.9 86.5 120.4 158 141.6-24.4-33.8-41.2-84.7-50-141.6h-108z"></path></svg> **Spatial Statistics** ] ### <svg viewBox="0 0 352 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M176 80c-52.94 0-96 43.06-96 96 0 8.84 7.16 16 16 16s16-7.16 16-16c0-35.3 28.72-64 64-64 8.84 0 16-7.16 16-16s-7.16-16-16-16zM96.06 459.17c0 3.15.93 6.22 2.68 8.84l24.51 36.84c2.97 4.46 7.97 7.14 13.32 7.14h78.85c5.36 0 10.36-2.68 13.32-7.14l24.51-36.84c1.74-2.62 2.67-5.7 2.68-8.84l.05-43.18H96.02l.04 43.18zM176 0C73.72 0 0 82.97 0 176c0 44.37 16.45 84.85 43.56 115.78 16.64 18.99 42.74 58.8 52.42 92.16v.06h48v-.12c-.01-4.77-.72-9.51-2.15-14.07-5.59-17.81-22.82-64.77-62.17-109.67-20.54-23.43-31.52-53.15-31.61-84.14-.2-73.64 59.67-128 127.95-128 70.58 0 128 57.42 128 128 0 30.97-11.24 60.85-31.65 84.14-39.11 44.61-56.42 91.47-62.1 109.46a47.507 47.507 0 0 0-2.22 14.3v.1h48v-.05c9.68-33.37 35.78-73.18 52.42-92.16C335.55 260.85 352 220.37 352 176 352 78.8 273.2 0 176 0z"></path></svg> What factors influence a fisher's target species (market value, weather, location, time of year) under different management practices? ??? I used catch composition and machine learning to infer a fisher's target species and used generalized additive models to explore the factors influencing target species. --- # Grey seals as bioprobes .pull-left[ .center[ <img style="border-radius: 5%;" src="images/grey_seal.jpg" width="700px"/> ] ] .pull-right[ ## Topics ### <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M327.1 96c-89.97 0-168.54 54.77-212.27 101.63L27.5 131.58c-12.13-9.18-30.24.6-27.14 14.66L24.54 256 .35 365.77c-3.1 14.06 15.01 23.83 27.14 14.66l87.33-66.05C158.55 361.23 237.13 416 327.1 416 464.56 416 576 288 576 256S464.56 96 327.1 96zm87.43 184c-13.25 0-24-10.75-24-24 0-13.26 10.75-24 24-24 13.26 0 24 10.74 24 24 0 13.25-10.75 24-24 24z"></path></svg> **Ecology** ### <svg viewBox="0 0 496 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M336.5 160C322 70.7 287.8 8 248 8s-74 62.7-88.5 152h177zM152 256c0 22.2 1.2 43.5 3.3 64h185.3c2.1-20.5 3.3-41.8 3.3-64s-1.2-43.5-3.3-64H155.3c-2.1 20.5-3.3 41.8-3.3 64zm324.7-96c-28.6-67.9-86.5-120.4-158-141.6 24.4 33.8 41.2 84.7 50 141.6h108zM177.2 18.4C105.8 39.6 47.8 92.1 19.3 160h108c8.7-56.9 25.5-107.8 49.9-141.6zM487.4 192H372.7c2.1 21 3.3 42.5 3.3 64s-1.2 43-3.3 64h114.6c5.5-20.5 8.6-41.8 8.6-64s-3.1-43.5-8.5-64zM120 256c0-21.5 1.2-43 3.3-64H8.6C3.2 212.5 0 233.8 0 256s3.2 43.5 8.6 64h114.6c-2-21-3.2-42.5-3.2-64zm39.5 96c14.5 89.3 48.7 152 88.5 152s74-62.7 88.5-152h-177zm159.3 141.6c71.4-21.2 129.4-73.7 158-141.6h-108c-8.8 56.9-25.6 107.8-50 141.6zM19.3 352c28.6 67.9 86.5 120.4 158 141.6-24.4-33.8-41.2-84.7-50-141.6h-108z"></path></svg> **Animal Movement** ] ### <svg viewBox="0 0 352 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M176 80c-52.94 0-96 43.06-96 96 0 8.84 7.16 16 16 16s16-7.16 16-16c0-35.3 28.72-64 64-64 8.84 0 16-7.16 16-16s-7.16-16-16-16zM96.06 459.17c0 3.15.93 6.22 2.68 8.84l24.51 36.84c2.97 4.46 7.97 7.14 13.32 7.14h78.85c5.36 0 10.36-2.68 13.32-7.14l24.51-36.84c1.74-2.62 2.67-5.7 2.68-8.84l.05-43.18H96.02l.04 43.18zM176 0C73.72 0 0 82.97 0 176c0 44.37 16.45 84.85 43.56 115.78 16.64 18.99 42.74 58.8 52.42 92.16v.06h48v-.12c-.01-4.77-.72-9.51-2.15-14.07-5.59-17.81-22.82-64.77-62.17-109.67-20.54-23.43-31.52-53.15-31.61-84.14-.2-73.64 59.67-128 127.95-128 70.58 0 128 57.42 128 128 0 30.97-11.24 60.85-31.65 84.14-39.11 44.61-56.42 91.47-62.1 109.46a47.507 47.507 0 0 0-2.22 14.3v.1h48v-.05c9.68-33.37 35.78-73.18 52.42-92.16C335.55 260.85 352 220.37 352 176 352 78.8 273.2 0 176 0z"></path></svg> What is the detection efficiency of acoustic tags in the field? What potential is there to use grey seals to sample the marine environment? ??? --- # Spread and control of fox rabies in Europe .pull-left[ .center[ <img style="border-radius: 5%;" src="images/rabies_retreat.png" width="700px"/> ] ] .pull-right[ ## Topics ### <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M327.1 96c-89.97 0-168.54 54.77-212.27 101.63L27.5 131.58c-12.13-9.18-30.24.6-27.14 14.66L24.54 256 .35 365.77c-3.1 14.06 15.01 23.83 27.14 14.66l87.33-66.05C158.55 361.23 237.13 416 327.1 416 464.56 416 576 288 576 256S464.56 96 327.1 96zm87.43 184c-13.25 0-24-10.75-24-24 0-13.26 10.75-24 24-24 13.26 0 24 10.74 24 24 0 13.25-10.75 24-24 24z"></path></svg> **Ecology** ### <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M201.5 174.8l55.7 55.8c3.1 3.1 3.1 8.2 0 11.3l-11.3 11.3c-3.1 3.1-8.2 3.1-11.3 0l-55.7-55.8-45.3 45.3 55.8 55.8c3.1 3.1 3.1 8.2 0 11.3l-11.3 11.3c-3.1 3.1-8.2 3.1-11.3 0L111 265.2l-26.4 26.4c-17.3 17.3-25.6 41.1-23 65.4l7.1 63.6L2.3 487c-3.1 3.1-3.1 8.2 0 11.3l11.3 11.3c3.1 3.1 8.2 3.1 11.3 0l66.3-66.3 63.6 7.1c23.9 2.6 47.9-5.4 65.4-23l181.9-181.9-135.7-135.7-64.9 65zm308.2-93.3L430.5 2.3c-3.1-3.1-8.2-3.1-11.3 0l-11.3 11.3c-3.1 3.1-3.1 8.2 0 11.3l28.3 28.3-45.3 45.3-56.6-56.6-17-17c-3.1-3.1-8.2-3.1-11.3 0l-33.9 33.9c-3.1 3.1-3.1 8.2 0 11.3l17 17L424.8 223l17 17c3.1 3.1 8.2 3.1 11.3 0l33.9-34c3.1-3.1 3.1-8.2 0-11.3l-73.5-73.5 45.3-45.3 28.3 28.3c3.1 3.1 8.2 3.1 11.3 0l11.3-11.3c3.1-3.2 3.1-8.2 0-11.4z"></path></svg> **Public Health** ### <svg viewBox="0 0 496 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M336.5 160C322 70.7 287.8 8 248 8s-74 62.7-88.5 152h177zM152 256c0 22.2 1.2 43.5 3.3 64h185.3c2.1-20.5 3.3-41.8 3.3-64s-1.2-43.5-3.3-64H155.3c-2.1 20.5-3.3 41.8-3.3 64zm324.7-96c-28.6-67.9-86.5-120.4-158-141.6 24.4 33.8 41.2 84.7 50 141.6h108zM177.2 18.4C105.8 39.6 47.8 92.1 19.3 160h108c8.7-56.9 25.5-107.8 49.9-141.6zM487.4 192H372.7c2.1 21 3.3 42.5 3.3 64s-1.2 43-3.3 64h114.6c5.5-20.5 8.6-41.8 8.6-64s-3.1-43.5-8.5-64zM120 256c0-21.5 1.2-43 3.3-64H8.6C3.2 212.5 0 233.8 0 256s3.2 43.5 8.6 64h114.6c-2-21-3.2-42.5-3.2-64zm39.5 96c14.5 89.3 48.7 152 88.5 152s74-62.7 88.5-152h-177zm159.3 141.6c71.4-21.2 129.4-73.7 158-141.6h-108c-8.8 56.9-25.6 107.8-50 141.6zM19.3 352c28.6 67.9 86.5 120.4 158 141.6-24.4-33.8-41.2-84.7-50-141.6h-108z"></path></svg> **Spatial Statistics** ] ### <svg viewBox="0 0 352 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M176 80c-52.94 0-96 43.06-96 96 0 8.84 7.16 16 16 16s16-7.16 16-16c0-35.3 28.72-64 64-64 8.84 0 16-7.16 16-16s-7.16-16-16-16zM96.06 459.17c0 3.15.93 6.22 2.68 8.84l24.51 36.84c2.97 4.46 7.97 7.14 13.32 7.14h78.85c5.36 0 10.36-2.68 13.32-7.14l24.51-36.84c1.74-2.62 2.67-5.7 2.68-8.84l.05-43.18H96.02l.04 43.18zM176 0C73.72 0 0 82.97 0 176c0 44.37 16.45 84.85 43.56 115.78 16.64 18.99 42.74 58.8 52.42 92.16v.06h48v-.12c-.01-4.77-.72-9.51-2.15-14.07-5.59-17.81-22.82-64.77-62.17-109.67-20.54-23.43-31.52-53.15-31.61-84.14-.2-73.64 59.67-128 127.95-128 70.58 0 128 57.42 128 128 0 30.97-11.24 60.85-31.65 84.14-39.11 44.61-56.42 91.47-62.1 109.46a47.507 47.507 0 0 0-2.22 14.3v.1h48v-.05c9.68-33.37 35.78-73.18 52.42-92.16C335.55 260.85 352 220.37 352 176 352 78.8 273.2 0 176 0z"></path></svg> What can we learn about vaccination planning from the successful elimination of rabies in Western Europe? --- # Mapping Ocean Stories .pull-left[ .center[ <img style="border-radius: 5%;" src="images/student_class.jpeg" width="600px"/> ] ] .pull-right[ #### <svg viewBox="0 0 640 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M622.34 153.2L343.4 67.5c-15.2-4.67-31.6-4.67-46.79 0L17.66 153.2c-23.54 7.23-23.54 38.36 0 45.59l48.63 14.94c-10.67 13.19-17.23 29.28-17.88 46.9C38.78 266.15 32 276.11 32 288c0 10.78 5.68 19.85 13.86 25.65L20.33 428.53C18.11 438.52 25.71 448 35.94 448h56.11c10.24 0 17.84-9.48 15.62-19.47L82.14 313.65C90.32 307.85 96 298.78 96 288c0-11.57-6.47-21.25-15.66-26.87.76-15.02 8.44-28.3 20.69-36.72L296.6 284.5c9.06 2.78 26.44 6.25 46.79 0l278.95-85.7c23.55-7.24 23.55-38.36 0-45.6zM352.79 315.09c-28.53 8.76-52.84 3.92-65.59 0l-145.02-44.55L128 384c0 35.35 85.96 64 192 64s192-28.65 192-64l-14.18-113.47-145.03 44.56z"></path></svg> Collaboration between Island Institute, Maine Sea Grant, The First Coast, and College of the Atlantic. #### <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 32C114.52 32 0 146.496 0 288v48a32 32 0 0 0 17.689 28.622l14.383 7.191C34.083 431.903 83.421 480 144 480h24c13.255 0 24-10.745 24-24V280c0-13.255-10.745-24-24-24h-24c-31.342 0-59.671 12.879-80 33.627V288c0-105.869 86.131-192 192-192s192 86.131 192 192v1.627C427.671 268.879 399.342 256 368 256h-24c-13.255 0-24 10.745-24 24v176c0 13.255 10.745 24 24 24h24c60.579 0 109.917-48.098 111.928-108.187l14.382-7.191A32 32 0 0 0 512 336v-48c0-141.479-114.496-256-256-256z"></path></svg> Series of oral history and audio storytelling projects, courses, and exhibits. <div class="figure" style="text-align: center"> <img src="images/stonington_soundwalk.jpeg" alt="Stonington Soundwalk map by Kristina Buckley © 2023" width="450" /> <p class="caption">Stonington Soundwalk map by Kristina Buckley © 2023</p> </div> ] ### <svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M576 240c0-23.63-12.95-44.04-32-55.12V32.01C544 23.26 537.02 0 512 0c-7.12 0-14.19 2.38-19.98 7.02l-85.03 68.03C364.28 109.19 310.66 128 256 128H64c-35.35 0-64 28.65-64 64v96c0 35.35 28.65 64 64 64h33.7c-1.39 10.48-2.18 21.14-2.18 32 0 39.77 9.26 77.35 25.56 110.94 5.19 10.69 16.52 17.06 28.4 17.06h74.28c26.05 0 41.69-29.84 25.9-50.56-16.4-21.52-26.15-48.36-26.15-77.44 0-11.11 1.62-21.79 4.41-32H256c54.66 0 108.28 18.81 150.98 52.95l85.03 68.03a32.023 32.023 0 0 0 19.98 7.02c24.92 0 32-22.78 32-32V295.13C563.05 284.04 576 263.63 576 240zm-96 141.42l-33.05-26.44C392.95 311.78 325.12 288 256 288v-96c69.12 0 136.95-23.78 190.95-66.98L480 98.58v282.84z"></path></svg> **Goal:** To Amplify the Voices of Maine's Coastal Communities ??? --- class: # Mapping Ocean Stories - Inspiration <img src="images/cod-ted-ames.png" alt="Map of Cod Spawning Grounds on the Coast of Maine" width="1000" style="display: block; margin: auto;" /> ??? In Maine we have a rich history of collecting and sharing local ecological knowledge. Ted Ames collected and analyzed stories from 61- to 94-year-old Maine fishermen to show where cod had historically spawned and been caught along the coast of Maine and used this in addition to catch records to study movements of Atlantic cod. --- class: # Mapping Ocean Stories ### <svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M256 32C114.52 32 0 146.496 0 288v48a32 32 0 0 0 17.689 28.622l14.383 7.191C34.083 431.903 83.421 480 144 480h24c13.255 0 24-10.745 24-24V280c0-13.255-10.745-24-24-24h-24c-31.342 0-59.671 12.879-80 33.627V288c0-105.869 86.131-192 192-192s192 86.131 192 192v1.627C427.671 268.879 399.342 256 368 256h-24c-13.255 0-24 10.745-24 24v176c0 13.255 10.745 24 24 24h24c60.579 0 109.917-48.098 111.928-108.187l14.382-7.191A32 32 0 0 0 512 336v-48c0-141.479-114.496-256-256-256z"></path></svg> March 2023 received a grant to further develop two key outputs: Maine Sound + Story and the Maine Historic Fisheries Atlas. ### - Transcribing and archiving interviews ### - Developing a coding scheme for spatial data mentioned in interviews. ### <svg viewBox="0 0 352 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg"> <path d="M176 80c-52.94 0-96 43.06-96 96 0 8.84 7.16 16 16 16s16-7.16 16-16c0-35.3 28.72-64 64-64 8.84 0 16-7.16 16-16s-7.16-16-16-16zM96.06 459.17c0 3.15.93 6.22 2.68 8.84l24.51 36.84c2.97 4.46 7.97 7.14 13.32 7.14h78.85c5.36 0 10.36-2.68 13.32-7.14l24.51-36.84c1.74-2.62 2.67-5.7 2.68-8.84l.05-43.18H96.02l.04 43.18zM176 0C73.72 0 0 82.97 0 176c0 44.37 16.45 84.85 43.56 115.78 16.64 18.99 42.74 58.8 52.42 92.16v.06h48v-.12c-.01-4.77-.72-9.51-2.15-14.07-5.59-17.81-22.82-64.77-62.17-109.67-20.54-23.43-31.52-53.15-31.61-84.14-.2-73.64 59.67-128 127.95-128 70.58 0 128 57.42 128 128 0 30.97-11.24 60.85-31.65 84.14-39.11 44.61-56.42 91.47-62.1 109.46a47.507 47.507 0 0 0-2.22 14.3v.1h48v-.05c9.68-33.37 35.78-73.18 52.42-92.16C335.55 260.85 352 220.37 352 176 352 78.8 273.2 0 176 0z"></path></svg> Aim: Use text analysis and spatial coding to understand the past and present use of Frenchman and Penobscot Bays --- class: center # Oral History Archives: Maine Sound + Story .center[ <iframe src="https://mainesoundandstory.com/" width="940" height="456" frameBorder="0"></iframe> ] [Maine Sound and Story](https://mainesoundandstory.com) ??? Maine Sound & Story seeks to document and preserve the collective history, memory, and stories of Maine through sound, images, and oral history. --- class: center # Maine Historic Fisheries Atlas .left-column[ <img src="images/mos-data-entry.png" alt="Spatial Data Entry System" width="500" style="display: block; margin: auto;" /> ] .right-column[ **Demo** [MOS Data Entry System](https://mos-data-coagis.hub.arcgis.com/pages/data-entry) <img src="images/toby-scallops.png" alt="Scallop Dragging" width="475" style="display: block; margin: auto;" /> ] --- class: center <figure> <img src="images/workflow.png" alt="Diagram of the Interview to Spatial Coding Analysis Workflow" width="800" height="600"> <figcaption>Figure 1. Diagram of the mapping ocean stories data analysis workflow.</figcaption> </figure> ??? The database is designed to record spatial, categorical, observational, and temporal information about each activity. --- class: center # Database Structure .left-column[ <figure> <img src="images/database_structure.png" alt="Diagram" width="650" height="450"> <figcaption>Figure 2. MOS - Database Basic Structure.</figcaption> </figure> ] .right-column[ ## - Who? ## - What? ## - Where? ## - When? ] ??? Spatial activities are categorized by coders by their domain, subdomain, and observation type to create a set of standardized observations that can be reliably compared later using queries, summaries, and other systematic methods (Figure 3). --- class: center # Project Codebook <figure> <img src="images/codebook.png" alt="Diagram" width="700" height="475"> <figcaption>Figure 3. Subset of the codebook showing the domain, subdomain, and data fields.</figcaption> </figure> ??? The spatial information for each activity is then classified by the geomethod and type of spatial information conveyed (Figure 4). - **Domain** Activity Classification (Fisheries, Aquaculture, Recreation) - **Subdomain** Subcategorization and specificity for observations (e.g. by species for fishing) --- class: center # Spatial Classification Scheme <figure> <img src="images/spatial_classification_scheme.png" alt="Diagram" width="650" height="450"> <figcaption>Figure 4. Spatial classification scheme by geomethod.</figcaption> </figure> --- # Gathering the Spatial Data: Illustrated <div class="figure" style="text-align: center"> <img src="images/fb-jp-ex.jpeg" alt="Spatial Interview: Frenchman Bay Coding Example 1" width="500" /> <p class="caption">Spatial Interview: Frenchman Bay Coding Example 1</p> </div> --- # Gathering the Spatial Data: Map Overlay <div class="figure" style="text-align: center"> <img src="images/fb-jp-map-overlay-opaque.png" alt="Spatial Interview: Frenchman Bay Coding Example" width="800" /> <p class="caption">Spatial Interview: Frenchman Bay Coding Example</p> </div> --- # Gathering the Spatial Data: Digitization <div class="figure" style="text-align: center"> <img src="images/fb-jp-ex-polygon-large.png" alt="Spatial Interview: Frenchman Bay Coding Example" width="800" /> <p class="caption">Spatial Interview: Frenchman Bay Coding Example</p> </div> --- # Gathering the Spatial Data from Audio ### *"But we would go up and fish the channels, which is on the other side of Long [Porcupine] and you could always fish all the way up to Bald Rock and then back to the [southern?]. You could tow up and down through there and catch a couple of hundred an hour of shrimp on a good day, a couple hundred pounds an hour. So some of the best fishing I’d ever seen was just on that side of that island, just like a whole bunch of boats going back and forth. And shrimp were–it was a lot of shrimp."* .footnote[Kane, Josh, Frenchman Bay Oral History Project, June 22nd, 2023, by Camden Hunt, 22 pages, Maine Sound and Story. Online: https://mainesoundandstory.s3.us-east-2.amazonaws.com/wp-content/uploads/2023/09/24154031/Kane_Josh_06.22.2023.pdf (Last Accessed: 03/18/2024).] --- # Shrimp Tow: Referential <div class="figure" style="text-align: center"> <img src="images/shrimp_trawl_large.png" alt="Shrimp Tow" width="600" /> <p class="caption">Shrimp Tow</p> </div> --- # Expanding the Spatial Glossary <div class="figure" style="text-align: center"> <img src="images/mos-spatial-glossary.png" alt="Spatial Glossary" width="800" /> <p class="caption">Spatial Glossary</p> </div> **Demo:** [MOS Spatial Glossary](https://mos-data-coagis.hub.arcgis.com/apps/a6c101ea5fc643bbb3c7067a0b8d86a4) --- # Understanding prepositions in a marine context <div class="figure" style="text-align: center"> <img src="images/prepositions.jpeg" alt="Prepositions" width="600" /> <p class="caption">Prepositions</p> </div> --- class: inverse, center, middle # Can we use text analysis to help us in the spatial coding process? --- class: center # Oral History Interview .center[ <iframe src="https://mainesoundandstory.com/record/josh-kane/" width="940" height="456" frameBorder="0"></iframe> ] [Josh Kane Interview](https://mainesoundandstory.com/record/josh-kane/) --- class: center # Oral History Transcript .center[ <iframe src="https://mainesoundandstory.s3.us-east-2.amazonaws.com/wp-content/uploads/2023/09/24154031/Kane_Josh_06.22.2023.pdf" width="940" height="456" frameBorder="0"></iframe> ] [Josh Kane Interview Transcript](https://mainesoundandstory.s3.us-east-2.amazonaws.com/wp-content/uploads/2023/09/24154031/Kane_Josh_06.22.2023.pdf) --- # Using Text Analysis for Interview Processing ### - Read in the transcript and identify speakers ### - Identify relevant sections for spatial coding ### - Collect information related to key questions --- # Transcript Text
--- # Searching for locations code ```r locations <- "bar harbor|Bar Harbor|Frenchman|frenchman|bay|Bay|porcupine|Porcupine|island|Island|Bar|bar" kane %>% filter(initials == "JK") %>% filter(str_detect(text, pattern = locations)) %>% DT::datatable() ``` --- # Searching for locations
--- # Searching for species code ```r species <- "shrimp|Shrimp|Halibut|halibut|Lobster|lobster|Pogies|pogies|Menhayden|menhayden" kane %>% filter(initials == "JK") %>% filter(str_detect(text, pattern = species)) %>% DT::datatable() ``` --- # Searching for species
--- class: left # Future Work ### - Continue to develop data collection and text analysis processes ### - Understand spatial semantics in the marine environment ### - Complete spatial data entry system and open platform to public ### - Further develop the uncertainty quantification and spatial classification schemes ### - Explore the potential for Large Language Models --- # Thank You! .left-column[ **College of the Atlantic, Maine Sea Grant, Island Institute, Haley Ward, and Rhumbline Maps**: - Natalie Springuel (Maine Sea Grant) - Todd Little-Siebold, Delphine DeMaisy, Will Draxler, Ilham Santoso, Linnea Goh (College of the Atlantic) - Galen Koch (The First Coast/College of the Atlantic/Island Institute) - Ben Meader (Haley Ward); Eliza Carter, Vincent Falardeau, and Emily Meader (Rhumbline Maps) **Funding Support:** - The Maine Community Foundation ] .right-column[ **MOS Outputs** - Island Institute’s podcast: [https://www.islandinstitute.org/stories/podcast/](https://www.islandinstitute.org/stories/podcast/) - Coastal Conversations radio show: [https://seagrant.umaine.edu/coastal-conversations-radio-program/](https://seagrant.umaine.edu/coastal-conversations-radio-program/) - Maine Sound + Story Archive: [www.mainesoundandstory.com](www.mainesoundandstory.com) - The First Coast’s exhibits: [www.thefirstcoast.org](www.thefirstcoast.org) - Historic Fisheries Atlas: [https://mos-data-coagis.hub.arcgis.com/](https://mos-data-coagis.hub.arcgis.com/). ] --- class: inverse, center, middle # Additional slides ??? --- # Text Analysis In Practice - packages ```r library(pdftools) # read in pdf library(tidyverse) # data wrangling and visualization library(tidytext) # text analysis library(stopwords) # stop words ``` --- # In Practice - reading in the transcript ```r kane_full_text <- pdftools::pdf_text(pdf = "../data/Kane_Josh_06.22.2023.pdf") # convert text to string kane_full_text <- toString(kane_full_text) # convert text to character lines kane <- read_lines(kane_full_text) kane <- tibble(kane) kane <- kane %>% rename(text = kane) %>% filter(text != "") %>% mutate(interview_section = if_else(str_detect(text, pattern = "0:00:00"), "main", NA)) %>% fill(interview_section, .direction = "down") %>% filter(interview_section == "main") ``` --- # In Practice - identifying speakers ```r kane <- kane %>% mutate(initials = str_extract(text, pattern = "[A-Z]{1,3}\\:")) %>% mutate(initials = str_replace(initials, pattern = ":", replacement = "")) %>% fill(initials, .direction = "down") %>% filter(is.na(initials) == FALSE) %>% mutate(text = str_replace_all(text, "[A-Z]{1,3}:", "")) %>% mutate(group = cumsum(initials != lag(initials, default = ""))) kane <- kane %>% group_by(initials, group) %>% summarise(text = str_c(text, collapse = " ")) %>% mutate(text = str_squish(text)) %>% ungroup() %>% arrange(group) ``` --- # Breaking down into words ```r kane %>% unnest_tokens(word, text, token='words') ``` ``` ## # A tibble: 8,732 × 3 ## initials group word ## <chr> <int> <chr> ## 1 JK 1 basically ## 2 CH 2 that’s ## 3 CH 2 great ## 4 CH 2 perfect ## 5 CH 2 so ## 6 CH 2 then ## 7 CH 2 we ## 8 CH 2 can ## 9 CH 2 go ## 10 CH 2 ahead ## # ℹ 8,722 more rows ``` --- # Parts of Speech ```r kane %>% unnest_tokens(word, text, token='words') %>% inner_join(parts_of_speech, relationship = "many-to-many") ``` ``` ## # A tibble: 19,502 × 4 ## initials group word pos ## <chr> <int> <chr> <chr> ## 1 JK 1 basically Adverb ## 2 CH 2 great Adjective ## 3 CH 2 great Adverb ## 4 CH 2 great Noun ## 5 CH 2 perfect Adjective ## 6 CH 2 perfect Noun ## 7 CH 2 perfect Verb (usu participle) ## 8 CH 2 perfect Verb (transitive) ## 9 CH 2 so Noun ## 10 CH 2 so Adverb ## # ℹ 19,492 more rows ``` --- # Prepositions and parts of speech ```r kane %>% unnest_tokens(word, text, token='words') %>% inner_join(parts_of_speech, relationship = "many-to-many") %>% filter(pos == "Preposition") %>% count(word) %>% arrange(desc(n)) ``` ``` ## # A tibble: 48 × 2 ## word n ## <chr> <int> ## 1 of 202 ## 2 to 187 ## 3 a 173 ## 4 in 118 ## 5 but 99 ## 6 up 74 ## 7 for 57 ## 8 on 57 ## 9 like 53 ## 10 out 47 ## # ℹ 38 more rows ```