2026-10-12T09:16:55Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33752614 2026-09-14T18:35:25Z category_146 category_19 category_46 category_931 category_811 portal_87 item_type_3 month_year_09_2026

Visualizing Influential Observations in Multivariate Dependent Structures Jerfson Bruno Do Nascimento Honório (24896488) Fernanda De Bastiani (14251425) Manuel Jesús Galea Rojas (24896491) Miguel Angel Uribe-Opazo (4869313) Space Science Pharmacology Immunology Information Systems not elsewhere classified Mathematical Sciences not elsewhere classified Geostatistics Local influence Multivariate Analysis Normal curvature Parablot <p>This paper presents new diagnostic techniques for visualizing potential influential observations in multivariate geostatistical data. Two graphical representations are proposed: the dmax plot and the Parablot for spatial correlated data. The goal is to provide simple and easy-to-use tools for multivariate structures with spatial dependence. These tools exploit the normal curvature technique of the local influence plot in dependent multivariate statistics. Through applications in simulated and real data, the methods demonstrated great power in identifying possible influential observations. To verify this, we analyzed the impact of removing the detected observations using Moran’s I index, as well as visualizing the empirical semivariogram. The proposed tools showed great potential in detecting influential points in dependent multivariate data.</p> 2026-09-14T18:35:25Z Dataset Dataset 10.6084/m9.figshare.33752614.v1 https://figshare.com/articles/dataset/Visualizing_Influential_Observations_in_Multivariate_Dependent_Structures/33752614 CC BY 4.0