FASPCA is a extension of sPCA developed by Jombart et al. (2008) in the framework of functional data analysis (FDA). FASPCA was developed by Alaa Ali Hassan (2021). Codes uploaded here is an ...

The vast growth of spatial datasets in recent decades has fueled the development of many statistical methods for detecting spatial patterns. Two of the most commonly studied spatial patterns are ...

Researchers often work with data corresponding to geographic locations. In these situations, it may be of interest to visualize data and take full advantage of spatial statistical methods in order to ...

Researchers in the health and social sciences often wish to examine joint spatial patterns for two or more related outcomes. Examples include infant birth weight and gestational length, psychosocial ...

This paper provides a high‐level review of different approaches for spatial interpolation using areal features. It groups these into those that use ancillary data to constrain or guide the ...

Base R includes many functions that can be used for reading, visualising, and analysing spatial data. The focus in this view is on "geographical" spatial data, where observations can be identified ...

TITLE: GIS-Based Morphometric Analysis of Fourth-Order Sub-Basins of the Zerqa River (Northern Jordan) Using Multivariate Statistical Techniques ...

ABSTRACT: There is a distinct lack of online atlases to visualize and explore cancer incidence in Middle Eastern countries despite the clear benefit that such tools can deliver. This paper describes ...