Functional Data Analysis is a relatively new branch in Statistics. Experiments where a complete function is observed for each individual give rise to functional data. In this work we focus on the case of functional data presenting spatial dependence. The three classic types of spatial data structures (geostatistical data, point patterns and areal data) can be combined with functional data as it is shown in the examples of each situation provided here. We also review some contributions in the literature on spatial functional data
While the new economic geography of trade and location has, understandably enough, concentrated on ...
While the new economic geography of trade and location has, understandably enough, concentrated on d...
In recent years, in many application fields, extracting information from data in the form of functio...
Functional Data Analysis is a relatively new branch in Statistics. Experiments where a complete func...
Abstract: Functional Data Analysis is a relatively new branch in Statis-tics. Experiments where a co...
Observing complete functions as a result of random experiments is nowadays possible by the developme...
This is the editorial letter for the Special Issue dedicated to Spatial Functional Statistics, motiv...
"In this paper, we consider two clustering strategies in order to explore spatial. relations among f...
Functional data showing spatial dependence structure occur in many applied fields. For example, in m...
The performance of two clustering strategies for spatially correlated functional data based on the s...
Disregarding spatial dependence can invalidate methods for analyzing cross-sectional and panel data....
The performance of two clustering strategies for spatially correlated functional data based on the ...
The performance of two clustering strategies for spatially correlated functional data based on the ...
As high-dimensional and high-frequency data are being collected on a large scale, the development of...
Spatial statistics is concerned with the analysis of data that have spatial locations associated wit...
While the new economic geography of trade and location has, understandably enough, concentrated on ...
While the new economic geography of trade and location has, understandably enough, concentrated on d...
In recent years, in many application fields, extracting information from data in the form of functio...
Functional Data Analysis is a relatively new branch in Statistics. Experiments where a complete func...
Abstract: Functional Data Analysis is a relatively new branch in Statis-tics. Experiments where a co...
Observing complete functions as a result of random experiments is nowadays possible by the developme...
This is the editorial letter for the Special Issue dedicated to Spatial Functional Statistics, motiv...
"In this paper, we consider two clustering strategies in order to explore spatial. relations among f...
Functional data showing spatial dependence structure occur in many applied fields. For example, in m...
The performance of two clustering strategies for spatially correlated functional data based on the s...
Disregarding spatial dependence can invalidate methods for analyzing cross-sectional and panel data....
The performance of two clustering strategies for spatially correlated functional data based on the ...
The performance of two clustering strategies for spatially correlated functional data based on the ...
As high-dimensional and high-frequency data are being collected on a large scale, the development of...
Spatial statistics is concerned with the analysis of data that have spatial locations associated wit...
While the new economic geography of trade and location has, understandably enough, concentrated on ...
While the new economic geography of trade and location has, understandably enough, concentrated on d...
In recent years, in many application fields, extracting information from data in the form of functio...