Geographic Information Analysis

Credit: Close up of nitrogen dioxide in the Northeast U.S. averaged over 2005 by NASA is free to use.

Resource Description

In this data rich world, we need to understand how things are organized on the Earth's surface. Those things 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.

Course Number

GEOG 586

License

CC BY-NC-SA 4.0

Resource
Author(s)

Online Resource

View the entire resource online here: Geographic Information Analysis

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Amy Griffin

Amy Griffin is an instructor for GEOG 586: Geographic Information Analysis. She is currently a Senior Lecturer in Geography at UNSW Canberra in Australia, where she teaches a range of geography and geographic information science courses. Her research interests include investigating the perceptual and cognitive processes involved in map reading and applications of GIS to historical geography. Some of her recent research projects include using eye-tracking to evaluate the design of new geovisualizations and to study the visual interpretation of remotely sensed imagery, and in collaboration with several historians, a spatiotemporal analysis of Australia's involvement in the Vietnam War.

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