{"id":176,"date":"2025-12-03T10:25:25","date_gmt":"2025-12-03T10:25:25","guid":{"rendered":"https:\/\/traces-anr-fns.imag.fr\/?page_id=176"},"modified":"2025-12-03T17:06:40","modified_gmt":"2025-12-03T17:06:40","slug":"delivrables","status":"publish","type":"page","link":"https:\/\/traces-anr-fns.imag.fr\/index.php\/delivrables\/","title":{"rendered":"Delivrables"},"content":{"rendered":"\n<h3 class=\"wp-block-heading has-text-color has-link-color has-medium-font-size wp-elements-213caf6ba279302305afb7664a27a269\" style=\"color:#a51da5\">Delivrables<\/h3>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color has-medium-font-size wp-elements-f6961d652ae88c96715d1af6c0a7f062\" style=\"color:#0d0de0\"><strong>Reports<\/strong><\/h2>\n\n\n\n<p class=\"has-text-color has-link-color has-small-font-size wp-elements-af85eebe9e3778825ac52944d81925dd\" style=\"color:#1e1db8\"><strong>Axis 1 produced the following deliverables:<\/strong><\/p>\n\n\n\n<ul style=\"color:#1e1db8\" class=\"wp-block-list has-text-color has-link-color has-small-font-size wp-elements-d3bf4e90628dce12e0dd4a401fc5d6da\">\n<li><strong>metadata describing the satellite indices used by the TRACES project. This metadata is available online at: <a href=\"https:\/\/traces-gn.unepgrid.ch\/geonetwork\/srv\/fre\/catalog.search#\/search?facet.q=type%2Fdataset\">https:\/\/traces-gn.unepgrid.ch\/geonetwork\/srv\/fre\/catalog.search#\/search?facet.q=type%2Fdataset<\/a><\/strong><\/li>\n\n\n\n<li><strong>A report documenting the three selected study areas. This report is available at: <a href=\"https:\/\/archive-ouverte.unige.ch\/unige:189278 \">https:\/\/archive-ouverte.unige.ch\/unige:189278 <\/a><\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-color has-link-color has-small-font-size wp-elements-4ebde709bd93f080ac10e5e4a6d77d06\" style=\"color:#1e1db8\"><strong>Axis 3 produced three reports as deliverables:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-51feaf52e460fb0796b5ccdfdec6d55b\" style=\"color:#1e1bd8\"><strong>The first report describes a comparative analysis of thesauri in environmental sciences. It is available at: <a href=\"https:\/\/hal.archives-ouvertes.fr\/hal-05340447\">https:\/\/hal.archives-ouvertes.fr\/hal-05340447<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-93587c75dac5f12bf82f1a2435bac946\" style=\"color:#1e1bd8\"><strong>The second report proposes an analysis and application of the DPSIR model to the environmental issue under consideration. It is available at:<a href=\" https:\/\/hal.archives-ouvertes.fr\/hal-05340543\"> https:\/\/hal.archives-ouvertes.fr\/hal-05340543<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-781bfaf67089f68c326551681913b1e0\" style=\"color:#1e1bd8\"><strong>The third report presents a study on the use of agentic AI and LLMs for the generation of environmental ontologies. It is available at:<a href=\" https:\/\/hal.archives-ouvertes.fr\/hal-05340472\"> https:\/\/hal.archives-ouvertes.fr\/hal-05340472<\/a><\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-42a18497370cbe874d896a07175a3a2c\" style=\"color:#1e1bd8\"><strong>Axis 4 produced two reports as deliverables:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-bb4aaceb6c9ed92d4647ebe66b46277c\" style=\"color:#1e1bd8\"><strong>The first is devoted to methods for detecting change points in time series. It is available at: <a href=\"https:\/\/archive-ouverte.unige.ch\/unige:189314\">https:\/\/archive-ouverte.unige.ch\/unige:189314<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-81325dff0a63d6b8a22e2c1527b65909\" style=\"color:#1e1bd8\"><strong>The second report focuses on machine learning methods for prediction in time series. It is available at: <a href=\"https:\/\/archive-ouverte.unige.ch\/unige:189315\">https:\/\/archive-ouverte.unige.ch\/unige:189315<\/a><\/strong><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color has-medium-font-size wp-elements-55caff44d32514cd7a9fab51b3706f5a\" style=\"color:#0d0de0\">Datasets<\/h2>\n\n\n\n<p class=\"has-text-color has-link-color has-small-font-size wp-elements-6a36385838a29a17fc6f70ef597e2104\" style=\"color:#1e1bd8\"><strong>Axis 1 produced a set of time series measurements (data and associated metadata) extracted from the Swiss Data Cube, covering the observation period 1985-2022, for around 30 satellite indices and for the 317 municipalities considered. This dataset is available at: <a href=\"https:\/\/doi.org\/10.26037\/yareta:k74zu427ujdxjbfgeodjwguiga\">https:\/\/doi.org\/10.26037\/yareta:k74zu427ujdxjbfgeodjwguiga<\/a><\/strong><\/p>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-665252c178c217b6e73ac277bdab4633\" style=\"color:#1e1bd8\"><strong>Axis 2 produced the following deliverables: <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-8e74669281e7f8158977c097d2995781\" style=\"color:#1e1bd8\"><strong>the SETT ontology dedicated to the environmental trajectories of territories. This ontology is available in HTML format at: <a href=\"http:\/\/purl.org\/sett\">http:\/\/purl.org\/sett<\/a> and in turtle format at : <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/milonfld\/danielafe7_phd\/-\/tree\/main\/SeTT\/3_SeTT_Ontology_Population\/1_SeTT_Ontology?ref_type=heads\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/milonfld\/danielafe7_phd\/-\/tree\/main\/SeTT\/3_SeTT_Ontology_Population\/1_SeTT_Ontology?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-e6f2df1969fc01f2c22648db558c8500\" style=\"color:#1e1bd8\"><strong>the knowledge graph of the semantic environmental trajectories of territories for the three study areas (\u00c9vian, Fribourg, and Greater Geneva). This knowledge graph in RDF format is available at <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/milonfld\/danielafe7_phd\/-\/tree\/main\/SeTT\/3_SeTT_Ontology_Population\/2_SeTT_KG_Production\/Output_SeTT_KG?ref_type=heads\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/milonfld\/danielafe7_phd\/-\/tree\/main\/SeTT\/3_SeTT_Ontology_Population\/2_SeTT_KG_Production\/Output_SeTT_KG?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-7f5c8e86cc3238bfbe87ab97af7aacc0\" style=\"color:#1e1bd8\"><strong>a set of standard SPARQL queries for querying the entire knowledge graph of the semantic environmental trajectories of territories. Queries can be executed via a SPARQL endpoint accessible at: <a href=\"http:\/\/steamerlod.imag.fr\/repositories\/TracesSemanticTrajectories\">http:\/\/steamerlod.imag.fr\/repositories\/TracesSemanticTrajectories<\/a>. A demo is available online <a href=\"http:\/\/steamerlod.imag.fr\/sparql?name=TracesSemanticTrajectories&amp;infer=true&amp;sameAs=true&amp;query=PREFIX+traces-geo%3A+%3Chttp%3A%2F%2Fpurl.org%2Ftraces%2Fdataset%2Fgeo%2F%3E%0APREFIX+sett%3A+%3Chttp%3A%2F%2Fpurl.org%2Fsett%2Fvocab%23%3E%0APREFIX+sett-codelist%3A+%3Chttp%3A%2F%2Fpurl.org%2Fsett%2Fcodelist%2F%3E%0APREFIX+sett-time%3A+%3Chttp%3A%2F%2Fpurl.org%2Fsett%2Ftime%23%3E%0APREFIX+skos%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2004%2F02%2Fskos%2Fcore%23%3E%0APREFIX+sett-annotations%3A+%3Chttp%3A%2F%2Fpurl.org%2Fsett%2Fannotations%2F%3E%0ASELECT+DISTINCT+%3Fepisode+%3FannotationLabel%0AWHERE+%7B%0Atraces-geo%3ACH6630+sett%3AhasSeTT+%3FseTT+.%0A%3FseTT+sett%3AhasThematicTrajectory+%3FthematicTrajectory+.%0A%3FthematicTrajectory+sett%3AhasTheme+sett-codelist%3ATemperature+%3B%0Asett%3AhasTemporalScale+sett-time%3ASummer+%3B%0Asett%3AhasEpisode+%3Fepisode+.%0A%3Fepisode+sett%3AhasSemanticAnnotation+%3Fannotation+.%0A%3Fannotation+skos%3Abroader%2B+sett-annotations%3AEpisodeBehaviorAnnotation+%3B%0Askos%3AprefLabel+%3FannotationLabel+.%0A%7D%0A\">here<\/a>.<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-4f6cdab809fe8bb680e2efff8874813f\" style=\"color:#1e1bd8\"><strong>Axis 3 produced a DPSIR ontology tailored to the objectives of the TRACES project. This ontology is available online at: <a href=\"https:\/\/hal.archives-ouvertes.fr\/hal-05340543\">https:\/\/hal.archives-ouvertes.fr\/hal-05340543<\/a><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"has-text-color has-link-color wp-elements-d9290b7e5969c35c520d5b31d62e4b8b\" style=\"color:#1e1bd8\"><strong>Axis 4 produced two datasets<\/strong>:<\/p>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-19638a8c555d71d54009e344b0a40dc9\" style=\"color:#1e1bd8\"><strong>One for testing methods for detecting change points in time series, described in the report also produced as a deliverable. This dataset is available at: <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-prci\/-\/tree\/main\/GRID_TEIs?ref_type=heads\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-prci\/-\/tree\/main\/GRID_TEIs?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-1b0ea8f67a8db4500f9078ff427e6657\" style=\"color:#1e1bd8\"><strong>The other is used to test machine learning methods for prediction in time series, as described in the report also produced as a deliverable. This dataset is available at: <a href=\"https:\/\/owncloud.unepgrid.ch\/index.php\/s\/PNn5WHdryeObQhS\">https:\/\/owncloud.unepgrid.ch\/index.php\/s\/PNn5WHdryeObQhS<\/a><\/strong><\/li>\n<\/ul>\n<\/div>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-47d32ec889b0677d83f84049f4e6ca16\" style=\"color:#1e1bd8\"><strong>Axis 5 produced three agent-based models that were designed and developed, along with the associated data:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-566fc0447d7b4435fec1d3766eae75af\" style=\"color:#1e1bd8\"><strong>An agent-based model and associated data for commuter journeys on the TCMC section (Cornavin-Meyrin-CERN tramway). The model is available at:<a href=\" https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/ANS_TCMC_ABM\"> https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/ANS_TCMC_ABM<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-291e1318ef9b0ad16bc3c93c782134a3\" style=\"color:#1e1bd8\"><strong>An agent-based model and associated data for DPSIR analysis of residential choices based on public transport provision. The model and data are available at:<a href=\" https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/phd_files\/-\/tree\/main\/backup3\/DPSIR-model-webapp?ref_type=heads\"> https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/phd_files\/-\/tree\/main\/backup3\/DPSIR-model-webapp?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-af1081987aedb69c38cf408fceeb1996\" style=\"color:#1e1bd8\"><strong>An agent-based model to simulate the historical development and future evolution of the public transport network in Greater Geneva. The model and data are available at: <a href=\"https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/kg-abm\">https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/kg-abm<\/a><\/strong><\/li>\n<\/ul>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color has-medium-font-size wp-elements-3f415b69a9a85c0584966c24c1fe7552\" style=\"color:#0d0de0\">Scripts and code<\/h2>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"has-text-color has-link-color has-small-font-size wp-elements-e8a6944507dafadefa26483ff517624a\" style=\"color:#1e1bd8\"><strong>Axis 1 delivered:<\/strong><\/p>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color has-small-font-size wp-elements-6c115f47ae63b5478679ec5278f3df8c\" style=\"color:#1e1bd8\"><strong>Python scripts developed for extracting the SWISS Data Cube data used to develop semantic environmental trajectories for the 30 or so indices considered and for the 317 municipalities over the observation period. These scripts are available at: <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-prci\/-\/tree\/main\/GRID_TEIs\/scripts?ref_type=heads\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-prci\/-\/tree\/main\/GRID_TEIs\/scripts?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color has-small-font-size wp-elements-8bc87e8fe11e4e5c4213dd5566610677\" style=\"color:#1e1bd8\"><strong>Python scripts developed as part of the study \u201ccluster and correlation analyses for the TRACES project\u201d conducted by Yang Y. These scripts are available at: <\/strong><\/li>\n<\/ul>\n<\/div>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-7543caabec27b398aabf59830a7486c4\" style=\"color:#1e1bd8\"><strong>Axis 2 delivered:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-246663ed4d3d043d9280838525a6385e\" style=\"color:#1e1bd8\">T<strong>he framework code for generating SETT knowledge graphs from data extracted from the SWISS Data Cube. This code is available at: <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/milonfld\/danielafe7_phd\/-\/tree\/main\/SeTT?ref_type=heads\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/milonfld\/danielafe7_phd\/-\/tree\/main\/SeTT?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-69af5d34eeadcf7c40e62eb8d353660f\" style=\"color:#1e1bd8\">T<strong>he code for the TracesViz web application, which allows users to view and compare the semantic environmental trajectories generated. This code is available at: <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-viz\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-viz<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-9a1770bf42a1d5fc23557b3c1fe9eb44\" style=\"color:#1e1bd8\"><strong>Online access to the TracesViz application is available at: <a href=\"https:\/\/traces-viz-717c32.gricad-pages.univ-grenoble-alpes.fr\/\">https:\/\/traces-viz-717c32.gricad-pages.univ-grenoble-alpes.fr\/<\/a>. <\/strong><br><strong>A procedure for activating mixed content must be performed beforehand (see <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-viz#notice-utilisation-dactivation-du-contenu-mixte\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-viz#notice-utilisation-dactivation-du-contenu-mixte<\/a>).<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-541891644572da1ec531b6be32233f6b\" style=\"color:#1e1bd8\"><strong>Axis 4 delivered:<\/strong><\/p>\n\n\n\n<ul style=\"color:#1e1bd8\" class=\"wp-block-list has-text-color has-link-color wp-elements-83f1117e0acb024af2b505faa1d7112a\">\n<li><strong>Python scripts for studying methods of detecting change points in time series. These scripts are available at: <a href=\"https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-prci\/-\/tree\/main\/TS_Segmentation?ref_type=heads\">https:\/\/gricad-gitlab.univ-grenoble-alpes.fr\/steamer\/traces-prci\/-\/tree\/main\/TS_Segmentation?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li><strong>Python scripts from the study of machine learning methods for prediction in time series. These scripts are available at:<a href=\" https:\/\/owncloud.unepgrid.ch\/index.php\/s\/PNn5WHdryeObQhS\"> https:\/\/owncloud.unepgrid.ch\/index.php\/s\/PNn5WHdryeObQhS<\/a><\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-color has-link-color wp-elements-2d302e17689c605ccfd54f6029c058d5\" style=\"color:#1e1bd8\"><strong>Axis 5 delivered:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-text-color has-link-color wp-elements-cc99fc59fd37d06a5655ba9b425cbd78\" style=\"color:#1e1bd8\"><strong>The code corresponding to the agent-based model for commuting, available at: <a href=\"https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/TCMC_ABM_Data_Code\">https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/TCMC_ABM_Data_Code<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-c43058f693d04fbef6bfd796ad5a8147\" style=\"color:#1e1bd8\"><strong>The code corresponding to the agent-based model for DPSIR analysis of residential choices based on public transport provision, available at: <a href=\"https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/phd_files\/-\/tree\/main\/backup3\/DPSIR-model-webapp?ref_type=heads\">https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/phd_files\/-\/tree\/main\/backup3\/DPSIR-model-webapp?ref_type=heads<\/a><\/strong><\/li>\n\n\n\n<li class=\"has-text-color has-link-color wp-elements-d3baf48b2e47fb5edf1ab765570c1d6d\" style=\"color:#1e1bd8\"><strong>The code corresponding to the agent-based model for simulating the historical development and future evolution of the public transport network in Greater Geneva, available at: <a href=\"https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/kg-abm\">https:\/\/gitlab.unige.ch\/cas\/Flann_ABM\/kg-abm<\/a><\/strong><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Delivrables Reports Axis 1 produced the following deliverables: Axis 3 produced three reports as deliverables: Axis 4 produced two reports as deliverables: Datasets Axis 1 produced a set of time series measurements (data and associated metadata) extracted from the Swiss Data Cube, covering the observation period 1985-2022, for around 30 satellite indices and for the [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-176","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/pages\/176","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/comments?post=176"}],"version-history":[{"count":12,"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/pages\/176\/revisions"}],"predecessor-version":[{"id":216,"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/pages\/176\/revisions\/216"}],"wp:attachment":[{"href":"https:\/\/traces-anr-fns.imag.fr\/index.php\/wp-json\/wp\/v2\/media?parent=176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}