�ݺ�ߣshows by User: oaggimenez

�ݺ�ߣshows by User: oaggimenez / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: oaggimenez / Wed, 05 Aug 2015 16:22:52 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: oaggimenez Making sense of citizen science data: A review of methods /slideshow/making-sense-of-citizen-science-data-a-review-of-methods/51311934 gimenez-iccb2015-montpellier-august4-150805162252-lva1-app6891
My talk at International Congress for Conservation Biology 2015, in Montpellier. Data collected through citizen science programs allow addressing many important questions in conservation biology related, e.g., to the shift in species range, the ecology of infectious disease or the effects of habitat loss and fragmentation on biodiversity. However, citizen science data are subject to serious statistical challenges when it comes to their analysis and the reliable extraction of the information they contain, mainly due to sampling biases generated by variation in the observation process. Numerous methods have been proposed to address this issue that can be split into two main strategies: either a new approach is developed to deal with a specific problem or an existing approach is used pending some pre-treatment of the data or post-processing of the results. I review these various methods, trying to make the links between them and emphasizing their advantages and drawbacks with respect to the question. I illustrate my talk with case studies drawn for the research conducted in our group, mainly on large carnivores. Based on this review, I end up this contribution by recommendations on the use of existing methods and by suggesting perspectives on future developments.]]>
My talk at International Congress for Conservation Biology 2015, in Montpellier. Data collected through citizen science programs allow addressing many important questions in conservation biology related, e.g., to the shift in species range, the ecology of infectious disease or the effects of habitat loss and fragmentation on biodiversity. However, citizen science data are subject to serious statistical challenges when it comes to their analysis and the reliable extraction of the information they contain, mainly due to sampling biases generated by variation in the observation process. Numerous methods have been proposed to address this issue that can be split into two main strategies: either a new approach is developed to deal with a specific problem or an existing approach is used pending some pre-treatment of the data or post-processing of the results. I review these various methods, trying to make the links between them and emphasizing their advantages and drawbacks with respect to the question. I illustrate my talk with case studies drawn for the research conducted in our group, mainly on large carnivores. Based on this review, I end up this contribution by recommendations on the use of existing methods and by suggesting perspectives on future developments.]]> Wed, 05 Aug 2015 16:22:52 GMT /slideshow/making-sense-of-citizen-science-data-a-review-of-methods/51311934 oaggimenez@slideshare.net(oaggimenez) Making sense of citizen science data: A review of methods oaggimenez My talk at International Congress for Conservation Biology 2015, in Montpellier. Data collected through citizen science programs allow addressing many important questions in conservation biology related, e.g., to the shift in species range, the ecology of infectious disease or the effects of habitat loss and fragmentation on biodiversity. However, citizen science data are subject to serious statistical challenges when it comes to their analysis and the reliable extraction of the information they contain, mainly due to sampling biases generated by variation in the observation process. Numerous methods have been proposed to address this issue that can be split into two main strategies: either a new approach is developed to deal with a specific problem or an existing approach is used pending some pre-treatment of the data or post-processing of the results. I review these various methods, trying to make the links between them and emphasizing their advantages and drawbacks with respect to the question. I illustrate my talk with case studies drawn for the research conducted in our group, mainly on large carnivores. Based on this review, I end up this contribution by recommendations on the use of existing methods and by suggesting perspectives on future developments. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gimenez-iccb2015-montpellier-august4-150805162252-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> My talk at International Congress for Conservation Biology 2015, in Montpellier. Data collected through citizen science programs allow addressing many important questions in conservation biology related, e.g., to the shift in species range, the ecology of infectious disease or the effects of habitat loss and fragmentation on biodiversity. However, citizen science data are subject to serious statistical challenges when it comes to their analysis and the reliable extraction of the information they contain, mainly due to sampling biases generated by variation in the observation process. Numerous methods have been proposed to address this issue that can be split into two main strategies: either a new approach is developed to deal with a specific problem or an existing approach is used pending some pre-treatment of the data or post-processing of the results. I review these various methods, trying to make the links between them and emphasizing their advantages and drawbacks with respect to the question. I illustrate my talk with case studies drawn for the research conducted in our group, mainly on large carnivores. Based on this review, I end up this contribution by recommendations on the use of existing methods and by suggesting perspectives on future developments.

Making sense of citizen science data: A review of methods from olivier gimenez

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0 Dealing with observer bias when mapping species distribution using citizen science data; an example on the distribution of brown bears in Greece. /slideshow/dealing-with-observer-bias-when-mapping-species-distribution-using-citizen-science-data-an-example-on-the-distribution-of-brown-bears-in-greece/43049997 presentationlille1208-141228093047-conversion-gate01
How to map species distribution using citizen science data when there is observer bias.]]>
How to map species distribution using citizen science data when there is observer bias.]]> Sun, 28 Dec 2014 09:30:47 GMT /slideshow/dealing-with-observer-bias-when-mapping-species-distribution-using-citizen-science-data-an-example-on-the-distribution-of-brown-bears-in-greece/43049997 oaggimenez@slideshare.net(oaggimenez) Dealing with observer bias when mapping species distribution using citizen science data; an example on the distribution of brown bears in Greece. oaggimenez How to map species distribution using citizen science data when there is observer bias. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationlille1208-141228093047-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> How to map species distribution using citizen science data when there is observer bias.

Dealing with observer bias when mapping species distribution using citizen science data; an example on the distribution of brown bears in Greece. from olivier gimenez

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0 Individual Heterogeneity in Capture-Recapture Models /slideshow/individual-heterogeneity-in-capturerecapture-models/43049950 gdr-demo-20nov2014-141228092630-conversion-gate02
How to assess individual heterogeneity in demographic parameters and detectability using capture-recapture models.]]>
How to assess individual heterogeneity in demographic parameters and detectability using capture-recapture models.]]> Sun, 28 Dec 2014 09:26:30 GMT /slideshow/individual-heterogeneity-in-capturerecapture-models/43049950 oaggimenez@slideshare.net(oaggimenez) Individual Heterogeneity in Capture-Recapture Models oaggimenez How to assess individual heterogeneity in demographic parameters and detectability using capture-recapture models. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gdr-demo-20nov2014-141228092630-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> How to assess individual heterogeneity in demographic parameters and detectability using capture-recapture models.

Individual Heterogeneity in Capture-Recapture Models from olivier gimenez

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0 Talk by Blaise Piédallu at ISEC 2014 on improving abundance estimates by using informative priors. /slideshow/talk-by-blaise-pidallu-at-isec-2014-on-improving-abundance-estimates-by-using-informative-priors/36927310 blaisepiedalluf1-140713120950-phpapp01
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]]> Sun, 13 Jul 2014 12:09:50 GMT /slideshow/talk-by-blaise-pidallu-at-isec-2014-on-improving-abundance-estimates-by-using-informative-priors/36927310 oaggimenez@slideshare.net(oaggimenez) Talk by Blaise Piédallu at ISEC 2014 on improving abundance estimates by using informative priors. oaggimenez <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/blaisepiedalluf1-140713120950-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Talk by Blaise Pi辿dallu at ISEC 2014 on improving abundance estimates by using informative priors. from olivier gimenez

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0 Talk by Laetitia Blanc at ISEC 2014 on improving abundance estimates by combining capture-recapture and occupancy data. /slideshow/talk-by-laetitia-blanc-at-isec-2014-on-improving-abundance-estimates-by-combining-capturerecapture-and-occupancy-data/36927283 blanc-a1-abundancei-140713120820-phpapp02
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]]> Sun, 13 Jul 2014 12:08:20 GMT /slideshow/talk-by-laetitia-blanc-at-isec-2014-on-improving-abundance-estimates-by-combining-capturerecapture-and-occupancy-data/36927283 oaggimenez@slideshare.net(oaggimenez) Talk by Laetitia Blanc at ISEC 2014 on improving abundance estimates by combining capture-recapture and occupancy data. oaggimenez <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/blanc-a1-abundancei-140713120820-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Talk by Laetitia Blanc at ISEC 2014 on improving abundance estimates by combining capture-recapture and occupancy data. from olivier gimenez

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0 My talk at EURING 2013 on individual variability in capture-recapture models /slideshow/my-talk-at-euring-2013-on-individual-variability-in-capturerecapture-models/36919891 euring2013gimenezv6-140713031825-phpapp01
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]]> Sun, 13 Jul 2014 03:18:25 GMT /slideshow/my-talk-at-euring-2013-on-individual-variability-in-capturerecapture-models/36919891 oaggimenez@slideshare.net(oaggimenez) My talk at EURING 2013 on individual variability in capture-recapture models oaggimenez <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/euring2013gimenezv6-140713031825-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

My talk at EURING 2013 on individual variability in capture-recapture models from olivier gimenez

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0 My CNRS interview to get a senior scientist position (directeur de recherche) https://fr.slideshare.net/oaggimenez/oral-dr45v13 oraldr45v13-140713022125-phpapp01
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]]> Sun, 13 Jul 2014 02:21:25 GMT https://fr.slideshare.net/oaggimenez/oral-dr45v13 oaggimenez@slideshare.net(oaggimenez) My CNRS interview to get a senior scientist position (directeur de recherche) oaggimenez <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oraldr45v13-140713022125-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

from olivier gimenez

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0 HDR Olivier Gimenez /oaggimenez/hdroliviergimenez talk-hdr-ogimenez-140712181035-phpapp01
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]]> Sat, 12 Jul 2014 18:10:35 GMT /oaggimenez/hdroliviergimenez oaggimenez@slideshare.net(oaggimenez) HDR Olivier Gimenez oaggimenez <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/talk-hdr-ogimenez-140712181035-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

HDR Olivier Gimenez from olivier gimenez

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0 My talk at ISEC 2014 (http://isec2014.sciencesconf.org/) on how to model occupancy data using hidden Markov models /slideshow/isec2014-gimenezv3/36866417 isec2014gimenezv3-140711030205-phpapp02
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]]> Fri, 11 Jul 2014 03:02:05 GMT /slideshow/isec2014-gimenezv3/36866417 oaggimenez@slideshare.net(oaggimenez) My talk at ISEC 2014 (http://isec2014.sciencesconf.org/) on how to model occupancy data using hidden Markov models oaggimenez <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/isec2014gimenezv3-140711030205-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

My talk at ISEC 2014 (http://isec2014.sciencesconf.org/) on how to model occupancy data using hidden Markov models from olivier gimenez

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0 https://cdn.slidesharecdn.com/profile-photo-oaggimenez-48x48.jpg?cb=1522858336 https://oliviergimenez.wordpress.com/ https://cdn.slidesharecdn.com/ss_thumbnails/gimenez-iccb2015-montpellier-august4-150805162252-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/making-sense-of-citizen-science-data-a-review-of-methods/51311934 Making sense of citize... https://cdn.slidesharecdn.com/ss_thumbnails/presentationlille1208-141228093047-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dealing-with-observer-bias-when-mapping-species-distribution-using-citizen-science-data-an-example-on-the-distribution-of-brown-bears-in-greece/43049997 Dealing with observer ... https://cdn.slidesharecdn.com/ss_thumbnails/gdr-demo-20nov2014-141228092630-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/individual-heterogeneity-in-capturerecapture-models/43049950 Individual Heterogenei...