L'Unité Mixte de Recherche TETIS (AGROPARISTECH - CIRAD - CNRS - INRAE) met en œuvre une approche intégrée de la chaîne de l’information spatiale : acquisition et traitement de données spatialisées, analyse et modélisation spatio-temporelle des systèmes agro-environnementaux et territoriaux, conception et gestion de systèmes d’information, Text and Data Mining, TDM, Big data, conditions de l'utilisation de l’information spatiale par les acteurs territoriaux pour les politiques publiques.
The TETIS Joint Research Unit (AGROPARISTECH - CIRAD - CNRS - INRAE) implements an integrated approach to the spatial information chain : acquisition and processing of spatialized data, analysis and modelling spatio-temporal analysis and modelling of agricultural and territorial systems, design and management of information systems, Text and Data Mining, TDM, Big data, conditions for the use of spatial information by territorial actors for public policies.
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17 mai 2024
Lavarenne, Jérémy, 2024, "Martinique daily interpolated rainfall, 1980-2021, obtained via UKED", https://doi.org/10.18167/DVN1/CLUN5R, CIRAD Dataverse, V1
Description: This dataset provides daily interpolated rainfall maps for Martinique island, for the period 1980-2021, at 0.001° resolution, derived from daily rain gauge data observations. Dataset Preparation Methods: These maps were obtained by performing interpolation from daily...
Network Common Data Form - 336,1 MB - MD5: 4dc4b1c5a471dd2b4b77d96d2dad8288
Network Common Data Form - 335,2 MB - MD5: f63b8f8203ef984cad4f7124f9265ee1
Network Common Data Form - 335,2 MB - MD5: 69111bf713deea4ea66c0c09884c7f91
Network Common Data Form - 335,2 MB - MD5: beac4ef6671eafd0b83e7354e39226ec
Network Common Data Form - 336,1 MB - MD5: 474573eed102932ab2c56e1be43a7c1f
Network Common Data Form - 335,2 MB - MD5: 6ab769b776859f83e538fa7894f910f3
Network Common Data Form - 335,2 MB - MD5: c02816a1a3374609362d461e7f308352
Network Common Data Form - 335,2 MB - MD5: d0f0004f239bbfca027ad28b3dbc3940
Network Common Data Form - 336,1 MB - MD5: 99c6938cb12162d4ab777ca5739fb34e
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