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Predihood: an open-source tool for predicting neighbourhoods' information.

, , and . J. Open Source Softw., 6 (61): 2805 (2021)

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Ambiguïtés dans les langages visuels d'interrogation spatiale et précision topologique des bases de données spatiales. (Ambiguities in Visual Languages for Spatial Queries and Topological Precision of Spatial Databases).. University of Marne-la-Vallée, Marne la Vallée, France, (2003)Predicting the Environment of a Neighborhood: A Use Case for France., , , and . DATA, page 294-301. SciTePress, (2020)Spatial Entity Matching with GeoAlign (demo paper)., , , and . SIGSPATIAL/GIS, page 580-583. ACM, (2019)An Introduction to Geographic Rules., , and . DMS, page 91-97. KSI Research Inc. / Knowledge Systems Institute Graduate School, (2016)A Global Description of Medical Image with High Precision., and . BIBE, page 289-296. IEEE Computer Society, (2000)An Environmental Study of French Neighbourhoods., , , , and . DATA (Revised Selected Papers), volume 1446 of Communications in Computer and Information Science, page 267-292. Springer, (2020)About Precision and Integrity in Visual Query Languages for Spatial Databases., and . DASFAA, page 286-293. IEEE Computer Society, (2001)Towards an Efficient Integration, Structure and Exploration of Landscape Architecture Project Information., and . ICME, page 397-400. IEEE Computer Society, (2006)Application of a system for landscape architecture data.. ICME, page 1833-1834. IEEE, (2009)Predihood: an open-source tool for predicting neighbourhoods' information., , and . J. Open Source Softw., 6 (61): 2805 (2021)