{"id":153,"date":"2018-03-29T18:10:55","date_gmt":"2018-03-29T16:10:55","guid":{"rendered":"http:\/\/wp.unil.ch\/geokdd\/?page_id=153"},"modified":"2019-09-23T16:38:43","modified_gmt":"2019-09-23T14:38:43","slug":"marj-tonini","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/geokdd\/members\/marj-tonini\/","title":{"rendered":"Marj Tonini"},"content":{"rendered":"<p style=\"text-align: justify\"><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"wp-image-296 size-full alignleft\" src=\"https:\/\/wp.unil.ch\/geokdd\/files\/2018\/04\/Rcamps-e1525345479929.jpg\" alt=\"\" width=\"249\" height=\"353\" srcset=\"https:\/\/wp.unil.ch\/geokdd\/files\/2018\/04\/Rcamps-e1525345479929.jpg 249w, https:\/\/wp.unil.ch\/geokdd\/files\/2018\/04\/Rcamps-e1525345479929-212x300.jpg 212w\" sizes=\"auto, (max-width: 249px) 100vw, 249px\" \/><strong>Dr. Marj Tonini<\/strong> is a spatial data scientist with a strong interest on geospatial modelling for risk assessment, mainly related to wildfires and landslides. She gained her PhD in 2002 at Sant\u2019Anna School of advanced studies (Pisa, Italy), defending a thesis on agro-environmental modelling. She started working at Lausanne University in 2004, as post-doc within the group headed by Professor Mikhail Kanevski. Finally, in 2008, she was appointed <strong>senior research manager <\/strong>at the<a href=\"https:\/\/unil.ch\/idyst\/home.html\"> Institute of Earth Surface Dynamics<\/a> (current position).<\/p>\n<p>Her <strong>current research<\/strong> focuses on:<\/p>\n<ul style=\"padding-left: 40px\">\n<li>pattern recognition and data mining approaches for natural hazard susceptibility and risk assessment, achieved using supervised and unsupervised machine learning and clustering algorithms;<\/li>\n<li>land use\/land cover change analyses and modelling;<\/li>\n<li>detection and mapping of complex transition zones.<\/li>\n<\/ul>\n<p style=\"text-align: justify\"><strong>Recent applications<\/strong>, with cases studies in Mediterranean and Alpine regions, include the following: (i) spatio-temporal cluster analyses of landslides and wildfires using stochastic point process models; (ii) landslides and wildfires susceptibility assessment using a machine learning based approach; \u00a0(ii) implementation of a GIS model to define the Wild\/Rural Urban interface (i.e. the transition zone between unoccupied land and human development where wildfires have higher incidence); (iv) development of new methodologies to elaborate land use scenarios based on the transition between the past and the current land cover, including driving variables for urban and rural development.<br \/>\nNumerous <strong>scientific works<\/strong> arising from these topics have been published in pee-reviewed journal or are currently underway.<\/p>\n<p style=\"text-align: justify\">As regard the<strong> teaching activity<\/strong>, Marj Tonini is co-responsible of the BS course \u201c<em>GIS and Geomatics<\/em>\u201d and supervisor of different master thesis in the domain of spatial data analyses and mapping, with application on environmental planning and natural hazards. Currently, she is co-supervisor of two PhD thesis, one dealing with different aspects of wildfires\u2019 spatio-temporal dynamics in Portugal (Joana Parente, University of Tr\u00e1s-os-Montes and Alto Douro, Portugal) and the second one dealing with an innovative approach for risk assessment in archaeology based on machine learning (Maria Elena Castiello, University of Bern, Switzerland).<\/p>\n<p style=\"text-align: justify\"><b><\/b><!--more--><\/p>\n<p><strong><a href=\"https:\/\/applicationspub.unil.ch\/interpub\/noauth\/php\/Un\/UnPers.php?PerNum=1034786&amp;LanCode=37&amp;menu=pub\" target=\"_blank\" rel=\"noopener noreferrer\">Full list of publications\u00a0<\/a><\/strong><\/p>\n<p><strong><a href=\"https:\/\/www.researchgate.net\/profile\/Marj_Tonini\" target=\"_blank\" rel=\"noopener noreferrer\">Research Gate\u00a0<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dr. Marj Tonini is a spatial data scientist with a strong interest on geospatial modelling for risk assessment, mainly related to wildfires and landslides. She gained her PhD in 2002 at Sant\u2019Anna School of&#46;&#46;&#46;<\/p>\n","protected":false},"author":108,"featured_media":0,"parent":13,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-153","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages\/153","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/users\/108"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/comments?post=153"}],"version-history":[{"count":0,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages\/153\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages\/13"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/media?parent=153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}