Welcome to the 2025 SISMID course on Spatial Statistics for Epidemiology and Public Health! Spatial methods are now used in many disciplines and play an important role in epidemiology and public ...

Introduction to handling and analysis of digital geospatial data. Operation of GIS software, including collection, processing and understanding of data, production of maps and geospatial projection ...

Visual interpretations are meaningful ways to determine spatial trends in our data. However, underlying factors—such as inconsistent geographies, scale, data gaps, overlapping data—have the potential ...

Professionals aiming to improve their skills working with ArcGIS in Microsoft SharePoint and to familiarise with the spatial statistics tools in ArcGIS, ate invited to join two free Esri live training ...

Spatial statistics is a rapidly evolving discipline that blends rigorous statistical methodologies with geospatial data analysis to uncover and interpret spatial patterns and dependencies. This field ...

REDLANDS, Calif.--(BUSINESS WIRE)--Thanks to the abundance of information and computational power now available to us, data science appears in every aspect of our lives. But with so many algorithms ...

Testing for nonindependence among the residuals from a regression or time series model is a common approach to evaluating the adequacy of a fitted model. This idea underlies the familiar Durbin-Watson ...

Vegetation fires are one of the most serious environmental problems in several ecoregions of India. The purpose of this study is to characterize spatio-temporal characteristics of fire events in ...