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...

Nowadays, spatial analysis in text is widely considered as important for both researchers and users. In certain fields such as epidemiology, the extraction of spatial information in text is crucial and both resources and methods are necessary. In most of spatial analysis process, gazetteer is a commonly used resource. A gazetteer is a data source where toponyms (place name) are associated with ...

This paper presents the progress of the drafting of specifications regarding the design of the Territorial Intelligence Community System, a concept that emerged within the caENTI coordination research activities framework from the Catalyse method. After a presentation of the TICS global design we will present the research about specifications according to the TICS four axis: Integration of the ...

An analysis of the association of forest cover, treated as an environmental good, and income at the county scale in the Northeastern United States was conducted for 2006. Global analysis using a spatial error regression model indicates an environmental Kuznets curve (EKC) type of relationship, with total forest cover, percent forest cover, and forest cover per capita is better associated with p...

the aim of this work is to understand the relation between time and place that an earthquake takes place. in order to answer this question, the modified level crossing (mlc) technique has been implemented. by studying two earthquakes, one in iran and one in california we came to the conclusion that there is a relation between time and place of an earthquake occurrence. as a matter of fact, this...

This paper investigates spatial panel data models with spatially and serially correlated disturbances. We …rst discuss the short panels and consider their estimation by both …xed e¤ects and random e¤ects speci…cations. With a between equation properly de…ned, the di¤erence of the random vs. …xed e¤ects models can be highlighted. We show that the random e¤ects estimate is a pooling of the within...