Artificial Intelligence and Spatial Planning for Sustainable Socio-Ecosystems Management constraint programming, landscape simulation, and hybrid AI to enhance decision support
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•	PhD thesis report: Constraint-based conservation planning as decision support for the preservation of New Caledonia's forests
•	software restoptr: R package that provides a flexible framework for ecological restoration planning
•	software rflsgen: neutral landscape generator that allows users to set targets on landscape indices

/  algorithmics /  artificial intelligence /  biodiversity (conservation) /  computer science /  connectivity /  conservation biology /  conservation planning /  constraint programming /  data (healthcare) /  data analysis /  DATA SCIENCE /  decision support tool /  deforestation /  ecological restoration /  Ecology (forest) /  Ecology (landscape) /  Ecology (quantitative) /  Ecology (terrestrial) /  ecosystem dynamics /  ecosystem process /  field sampling (fr: échantillonnage) /  forest dynamics /  fragmentation /  GIS (Geogr. Inform. Sys.) /  Guinea rep. /  High Performance Computing (HPC) /  indicator (environmental) /  indicator (socio-environmental) /  land use /  landcover /  landscape /  model SDM (Species Distribution Model) /  MODELLING /  modelling (habitat, ecology) /  monitoring (environmental) /  monitoring (socio-environmental) /  multi-scale (spatial) /  MULTIDISCIPLINARY /  natural resource management /  New Caledonia /  planning (spatial) /  R programming /  SDG 15 (Sust. Devel. Goal - Terrestrial ecosystems) /  simulation /  software engineering /  spatial analysis /  spatial dynamics /  stakeholder /  sustainability science /  sustainable management /  UMR AMAP (Botany Model. Plant Architect. Veget.) /

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