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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D">FYI…<o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Thompson, Cassandra <ct824310@ohio.edu>
<br>
<b>Sent:</b> Thursday, September 29, 2022 8:41 AM<br>
<b>To:</b> Popescu, Viorel <popescu@ohio.edu><br>
<b>Subject:</b> Fw: [External] [ECOLOG-L] Spatial Occupancy Models - Free Stats Methods Webinar Mon, Oct 3<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-family:"Calibri",sans-serif;color:black">Looks cool, if you want to forward to anyone interested?<o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:black">
<a href="mailto:ECOLOG-L@community.esa.org">ECOLOG-L@community.esa.org</a> <<a href="mailto:ECOLOG-L@community.esa.org">ECOLOG-L@community.esa.org</a>> on behalf of Jody Peters <<a href="mailto:privateemail70456@community.esa.org">privateemail70456@community.esa.org</a>><br>
<b>Sent:</b> Wednesday, September 28, 2022 5:52 PM<br>
<b>To:</b> <a href="mailto:ECOLOG-L@community.esa.org">ECOLOG-L@community.esa.org</a> <<a href="mailto:ECOLOG-L@community.esa.org">ECOLOG-L@community.esa.org</a>><br>
<b>Subject:</b> [External] [ECOLOG-L] Spatial Occupancy Models - Free Stats Methods Webinar Mon, Oct 3</span>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:11.0pt">Use caution with links and attachments.<br>
<br>
On Monday, October 3 at noon US ET, the Ecological Forecasting Initiative and the ESA Statistical Ecology Section are co-hosting Jeffrey Doser and Andrew Finley from Michigan State University who will share an overview of spatial occupancy models and the spOccupancy
R package.<br>
<br>
Register to attend at: <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbit.ly%2F3QWQZW2&data=05%7C01%7Cocees%40listserv.ohio.edu%7C18697fb3af2f48a1407e08daa254911b%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C638000781352750517%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=jmY%2F7djVOf0juM9A4XEJKgzCHKPSrtSi9jrHe%2FIZtUs%3D&reserved=0" originalsrc="https://bit.ly/3QWQZW2" shash="olcG9nmI8OfCypH3xWStUrkcxb8ZWrFE9PmMZ9Euc8XUdhxzAK0ifPDifx3oyn1m2DNHFisnqIldrM9mPGmenKdjDmnOcVhyKThTf2uqR1wfER+RdsCPdN/SF+s56srO1iR5Lfo5Kaa0n2GpfvAe7POmQ9uvP3o/tzgwRMXpVLM=">
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<br>
Occupancy modeling is a common approach to assess species distribution patterns, while explicitly accounting for measurement errors common in detection-nondetection data. Numerous extensions of the basic single species occupancy model exist to model multiple
species, spatial autocorrelation, residual species correlations, and to integrate multiple data sources. However, development of specialized and computationally efficient software to incorporate such extensions, especially for large datasets, is scarce or
absent. Drs. Doser and Finley will demonstrate how to use the spOccupancy R package (<a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2FspOccupancy%2Findex.html&data=05%7C01%7Cocees%40listserv.ohio.edu%7C18697fb3af2f48a1407e08daa254911b%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C638000781352750517%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=IaF%2BdrNgELpPloWcfTDsmsDTtyk554cF9YOIf7x8D6Y%3D&reserved=0" originalsrc="https://cran.r-project.org/web/packages/spOccupancy/index.html" shash="hv8MUB9fVAdk0AEWwxZT7HWwh/0mQ+Q9Xy8sXzVDz6BgycNvLsrtc2Hc8h/PA21RjvTlDQftqNAd7Vkpz17SEjY60VW27GRZZvxpImH1ZViNfQgsgFzAQgoo/BrXJyMtaiMO23zYiuNe/VWd3d/4jpxQIlWTsBlZEgjrwL6dbD4=">https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2FspOccupancy%2Findex.html&data=05%7C01%7Cct824310%40ohio.edu%7C1deac6f330e140bd918108daa19bc5c2%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637999987677936482%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=QVhsmQy%2FGewqOA8SRiWWGBfm9LVuBkHKrbNh03%2FIji4%3D&reserved=0</a>)
to fit single-species, multi-species, and integrated spatially-explicit occupancy models in a Bayesian framework.<br>
<br>
Upcoming sessions:<br>
November 7, 2022 âÂEURÂ" Analysis of Bioacoustic Data; Marcelo Araya Salas, Universidad de Costa Rica<br>
December 5, 2022 âÂEURÂ" Structural Equation Models and the piecewiseSEM R package; Jon Lefcheck, Smithsonian Environmental Research Center<br>
January 9, 2023 âÂEURÂ" Zero Inflated GLM and GLMM; Alain Zuur and Elena Ieno, Highland Statistics Ltd.<br>
February 6, 2023 âÂEURÂ" Spatial Modeling in Ecology; Marie-JosÃf©e Fortin, University of Toronto<br>
March 6, 2023 âÂEURÂ" State-space Models and the Template Model Builder (TMB) R package; Marie Auger-MÃf©thÃf©, University of British Columbia<br>
April 3, 2023 âÂEURÂ" Bayesian Stable Isotope Mixing Models and the MixSIAR R package; Brian Stock, NOAA<br>
May 1, 2023 âÂEURÂ" Integrated Species Distribution Models; Neil Gilbert, Michigan State University<br>
<br>
Previous sessions covered: NIMBLE, Multi-species Occupancy Modeling, Integrated Step-Selection Analysis, Movement Ecology, Generalized Joint Attribute Modeling (GJAM), Generalized Additive Models (GAMs), Species Archetype Models and Regions of Common Profile
Models, Mixed Models, and Hidden Markov Models in Ecology.<br>
<br>
Details about upcoming sessions, and recordings and R resources from previous sessions are available at:
<a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fecoforecast.org%2Fworkshops%2Fstatistical-methods-seminar-series%2F&data=05%7C01%7Cocees%40listserv.ohio.edu%7C18697fb3af2f48a1407e08daa254911b%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C638000781352750517%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=1rOLm4320iZC5qIwOkFFRwA9BoYZBlj2XOiXL8khOSg%3D&reserved=0" originalsrc="https://ecoforecast.org/workshops/statistical-methods-seminar-series/" shash="hD6xUa2byh1ro/GPIn0fmIhbyk5kz/etqy4/zP2V+GKi/cW+8qBqmxyBozGLJSRz2UeTldRn6JUatCdJIDhi3Bv0c/zY76o7oMRjfVCYen605KGd9V6Zv2CFI5GyAkp3QYVfHhzOJHSOrlPquCiKzAGUEif6ZnZPklCI7aDFfI4=">
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