{"id":598,"date":"2018-08-21T16:09:45","date_gmt":"2018-08-21T14:09:45","guid":{"rendered":"https:\/\/www.nature-conservation-ubfc.com\/emme\/?page_id=598"},"modified":"2023-03-02T16:11:00","modified_gmt":"2023-03-02T15:11:00","slug":"esdp1","status":"publish","type":"page","link":"https:\/\/www.nature-conservation-ubfc.com\/emme\/en\/esdp1\/","title":{"rendered":"Ecological, Environmental and Spatial Data Processing 1"},"content":{"rendered":"<h3 style=\"text-align: justify\">Description:<\/h3>\n<p style=\"text-align: justify\">This course has 3 main learning themes:<\/p>\n<ul style=\"text-align: justify;list-style-type: circle\">\n<li><strong>Metrology:<\/strong> Problems related to measurement and comparison of data.<\/li>\n<li><strong>Numerical ecology<\/strong>: Statistical and numerical analysis of ecological and environmental data; Clustering and ordination methods.<\/li>\n<li><strong>Cartography and GIS<\/strong>: Cartographic approaches and objects; Introduction to Geographic Information Systems (GIS)<\/li>\n<\/ul>\n<h3 style=\"text-align: justify\">Learning Objectives:<\/h3>\n<p style=\"text-align: justify\"><strong>Theoretical learning outcomes:<\/strong><br \/>\n\u2022 Knowledge of the constraints related to measurements, the main exploration methods in ecological and environmental data analysis (objectives, principles, field of application, implementation, interpretation of results), and the principles of mapping and management of spatial data.<\/p>\n<p style=\"text-align: justify\"><strong>Technical learning outcomes:<\/strong><br \/>\n\u2022 Assessing the uncertainty of data and the diagnostic value of a statistical test.<br \/>\n\u2022 Choosing a multivariate analysis method according to the data and objectives of a study or research question.<br \/>\n\u2022 Applying the main clustering and ordination methods with R software and correctly interpreting the results.<br \/>\n\u2022 Building a Geographic Information System (QuantumGIS and interface with other GIS) using public databases, satellite images and georeferenced data from fieldwork.<br \/>\n\u2022 Writing a short and comprehensive report concerning the collection, quality and analysis of ecological data.<\/p>\n<h3 style=\"text-align: justify\">Prerequisites:<\/h3>\n<p style=\"text-align: justify\">Basic knowledge of biostatistics at Bachelor&rsquo;s level.<\/p>\n<h3 style=\"text-align: justify\">Teaching Methods:<\/h3>\n<p style=\"text-align: justify\">Lectures, seminars, practicals<\/p>\n<h3 style=\"text-align: justify\">Assessment:<\/h3>\n<p style=\"text-align: justify\">Reports on the practical work (working in pairs), oral and written exams.<\/p>\n<h3 style=\"text-align: justify\">Recommended Reading:<\/h3>\n<ul style=\"list-style-type: circle\">\n<li style=\"text-align: justify\"><span style=\"float: none;background-color: transparent;color: #666666;cursor: text;font-family: 'Open Sans',Arial,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 500;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px\">Legendre P &amp; Legendre L, 2012. Numerical ecology. Elsevier.<\/span><\/li>\n<li style=\"text-align: justify\"><span style=\"float: none;background-color: transparent;color: #666666;cursor: text;font-family: 'Open Sans',Arial,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 500;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px\">Borcard D, Gillet F &amp; Legendre P, 2018. Numerical ecology with R, 2nd Edition. Springer.<\/span><\/li>\n<\/ul>\n<h3 style=\"text-align: justify\">Related Media:<\/h3>\n<ul style=\"list-style-type: circle\">\n<li style=\"text-align: justify\"><span style=\"float: none;background-color: transparent;color: #666666;cursor: text;font-family: 'Open Sans',Arial,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 500;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px\">Le strat\u00e8ge, 2011, de Bennett Miller.<\/span><\/li>\n<li style=\"text-align: justify\"><span style=\"float: none;background-color: transparent;color: #666666;cursor: text;font-family: 'Open Sans',Arial,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 500;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px\">Will Hunting, 1997, de Gus van Sant.<\/span><\/li>\n<\/ul>\n<h3 style=\"text-align: justify\">Coordinator:<\/h3>\n<p style=\"text-align: justify\"><span style=\"float: none;background-color: transparent;color: #666666;cursor: text;font-family: 'Open Sans',Arial,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 500;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px\">Julien Azuara, <span style=\"color: #3366ff\">julien.azuara<\/span><\/span><span style=\"color: #3366ff\"><a style=\"color: #3366ff\">@univ-fcomte.fr<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: This course has 3 main learning themes: Metrology: Problems related to measurement and comparison of data. Numerical ecology: Statistical and numerical analysis of ecological and environmental data; Clustering and ordination methods. Cartography and GIS: Cartographic approaches and objects; Introduction to Geographic Information Systems (GIS) Learning Objectives: Theoretical learning outcomes: \u2022 Knowledge of the constraints [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ecological, Environmental and Spatial Data Processing 1 - EMME<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.nature-conservation-ubfc.com\/emme\/en\/esdp1\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ecological, Environmental and Spatial Data Processing 1 - EMME\" \/>\n<meta property=\"og:description\" content=\"Description: This course has 3 main learning themes: Metrology: Problems related to measurement and comparison of data. 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