We propose an exploratory statistical tool that combines functional data analysis (FDA) with unsupervised learning algorithms and spatial statistics to extract meaningful information about the main spatiotemporal patterns underlying PM10 in mainland Portugal.

This study applies FDA to examine drought conditions in Southern Portugal using the Consecutive Dry Days (CDD) index. By integrating the FDA with spatial analyses, the research aims to provide a comprehensive understanding of drought dynamics, revealing detailed patterns of drought persistence, seasonal behavior, and spatial distribution.

Alguns exemplos com funções que implementam a validação cruzada para a análise discriminante.

Gráficos e tabelas para análise descritiva de dados quantitativos e categóricos

exercicio com kriging da indicatriz onde ocorre screen-effect

Continuidade espacial e anisotropia geometrica