Spatial Analysis and Modeling at Carleton

This satellite image has been modified in GIS to color-code buildings by type of use.

As we learn more about the world around us, we have come to realize that many systems are interconnected and interrelated. A one-dimensional view of a complex world may create more confusion than insight. Hence, the use of a multi-faceted approach is essential to understanding both natural and societal systems. Thanks to modern computer power, multiple datasets can be overlain, manipulated, and analyzed spatially, allowing relationships between variables to become visible.

One well-known tool in spatial analysis is Geographic Information System (GIS). This digital system of mapping allows the use of many "layers" of data, allowing for a multi-dimensional analysis of a particular area. By its nature, GIS mapping allows for cross-discipline collaboration and holistic approaches to problem-solving. GIS is also a valuable teaching tool, giving students the ability to easily visualize datasets and create various cartographic products.

GIS and spatial analysis are used in many disciplines, such as land use planning, archeology, geology, biology, resource management and natural hazards management.

For more information about spatial modeling at Carleton, contact Tsegaye H. Nega at tnega@carleton.edu.

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