Propagation of spatial imprecision in imprecise quantitative data in agronomy

Karima Zayrit (1) , Éric Desjardin (1) , Cyril de Runz (1) , Herman Akdag (2)

1 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
2 LIASD - Laboratoire d'Informatique Avancée de Saint-Denis

One of the stakes of Observox, an observatory of agricultural practices, is to deal with imperfect spatial information and to always associate a quality evaluation to acquired or computed data. So, we introduce the notion of fuzzy geographical entities. Then, we consider both spatial and quantitative information in order to obtain fuzzy local quantitative information. This paper proposes a new operator which gives the fuzzy quantity of spatially disseminated chemical products for each location.

Mots clés: Imprecision; fuzziness; propagation; agriculture

Domaines: Autre [cs.OH]

Karima Zayrit, Éric Desjardin, Cyril de Runz, Herman Akdag. Propagation of spatial imprecision in imprecise quantitative data in agronomy. International Symposium on Spatial Data Quality, 2011, Coimbra, Portugal, France. pp.145--150. ⟨hal-00632622⟩