Manipulando dados espaciais Fuzzy em R usando o pacote fsr

• Autor(a) principal: Carniel, Anderson Chaves
• Data de Publicação: 2021
• Outros Autores: Silva, Felippe Galdino, Philippsen, Juliana Strieder, Schneider, Markus
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
• Texto Completo: http://repositorio.utfpr.edu.br/jspui/handle/1/30126; https://dl.acm.org/doi/10.1145/3474717.3484255
• topic: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO; Banco de dados; Sistemas de informação geográfica; Álgebra; Data bases; Geographic information systems; Algebra

GIS and spatial data science (SDS) tools have been recently ap- proaching each other by establishing bridge technologies between them. R as one of the most prominent programming languages used in SDS projects has been granted access to GIS infrastructure, while R scripts can be integrated and executed in GIS functions. Unfortunately, the treatment of spatial fuzziness has so far not been considered in SDS projects and bridge technologies due to a lack of software packages that can handle fuzzy spatial objects. This paper introduces an R package named for as an implementation of the fuzzy spatial data types, operations, and predicates of the Spatial Plateau Algebra that is based on the abstract Fuzzy Spatial Algebra. This R package solves the problem of constructing fuzzy spatial objects as spatial plateau objects from real datasets and describes how to conduct exploratory spatial data analysis by issuing geomet- ric operations and topological predicates on fuzzy spatial objects. Further, fsr provides the possibility of designing fuzzy spatial in- ference models to discover new findings from fuzzy spatial objects. It optimizes the inference process by deploying the particle swarm optimization to obtain the point locations with the maximum or minimum inferred values that answer a specific user request.