In this data rich world, we need to understand how things are organized on the Earth's surface. Those features are represented by spatial data and necessarily depend upon what surrounds them. Spatial statistics provide insights into explaining processes that create patterns in spatial data. In geographical information analysis, spatial statistics such as point pattern analysis, spatial autocorrelation, and spatial interpolation will analyze the spatial patterns, spatial processes, and spatial association that characterize spatial data. Understanding spatial analysis will help you realize what makes spatial data special and why spatial analysis reveals a truth about spatial data.
At a Glance
Applications in GIS
|Syllabus||GEOG 586 Syllabus|
Meet Our Faculty Instructors
Amy's research interests include investigating the perceptual and cognitive processes involved in map reading and applications of GIS to historical geography.