{"id":6,"date":"2017-10-11T10:32:19","date_gmt":"2017-10-11T08:32:19","guid":{"rendered":"http:\/\/wp.unil.ch\/geokdd\/?page_id=6"},"modified":"2021-06-04T16:17:08","modified_gmt":"2021-06-04T14:17:08","slug":"home","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/geokdd\/","title":{"rendered":"Home"},"content":{"rendered":"<h1><span style=\"color: #3b8dbd\">GeoKDD reasearch group<\/span><\/h1>\n<p style=\"text-align: justify\">The development of methods allowing to perform intelligent data reduction is a central issue in environmental science. Nowadays the availability of massive digital geo-referenced databases led GIS scientists to search for new tools able to make sense of such complexity. The field of Knowledge Discovery in Data (KDD) has proposed a number of tools to deal with this issue, but the adaptation of these tools to the domain of Geosciences needs to be further implemented.<\/p>\n<p style=\"text-align: justify\"><strong>The research and teaching activity of our group deal with the exploration of pattern and relationships in complex geospatial environmental data.<\/strong><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #000000\">In more details, our research topics and scientific activity cover the following multidisciplinary fields:<\/span><\/p>\n<ol>\n<li style=\"text-align: justify\">Geomatics, geostatistical and GIS modelling\/simulations of environmental data;<\/li>\n<li style=\"text-align: justify\">Development and adaptation of Machine Learning algorithms for environmental applications and data mining;<\/li>\n<li style=\"text-align: justify\">Pattern recognition, modelling and visualization of natural hazards, socio-economic, and demographic data;<\/li>\n<li style=\"text-align: justify\">Spatio-temporal data mining, clustering, and hot spots detection;<\/li>\n<li style=\"text-align: justify\">Modelling and assessments of natural hazard and risks (wildfires, landslides, permafrost).<\/li>\n<\/ol>\n<p style=\"text-align: justify\">One of the main topic of a current scientific interest deals with the application of Machine Learning algorithms to high-dimensional spatio-temporal data, including topo-climatic and meteorological fields, natural hazards and risks, natural resources assessments (wind fields, solar energy), analysis and recognition of complex spatio-temporal patterns. Within the framework of this research new methods are elaborated and applied for environmental and socio-economic spatio-temporal data.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-570\" src=\"https:\/\/wp.unil.ch\/geokdd\/files\/2019\/03\/time_seriespic-300x180.jpg\" alt=\"\" width=\"1144\" height=\"686\" srcset=\"https:\/\/wp.unil.ch\/geokdd\/files\/2019\/03\/time_seriespic-300x180.jpg 300w, https:\/\/wp.unil.ch\/geokdd\/files\/2019\/03\/time_seriespic-768x461.jpg 768w, https:\/\/wp.unil.ch\/geokdd\/files\/2019\/03\/time_seriespic-1024x614.jpg 1024w, https:\/\/wp.unil.ch\/geokdd\/files\/2019\/03\/time_seriespic.jpg 1920w\" sizes=\"auto, (max-width: 1144px) 100vw, 1144px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GeoKDD reasearch group The development of methods allowing to perform intelligent data reduction is a central issue in environmental science. Nowadays the availability of massive digital geo-referenced databases led GIS scientists to search for&#46;&#46;&#46;<\/p>\n","protected":false},"author":108,"featured_media":0,"parent":0,"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-6","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages\/6","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=6"}],"version-history":[{"count":0,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}