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Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

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Orienteering as a Tool for Cognitive Research: An Implementation Guide

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Impact Mapping for Geospatial Reasoning and Decision Making.

David A Illingworth¹, Karen M Feigh¹

¹1372 Georgia Institute of Technology, USA.

|March 8, 2021

Summary

Impact mapping, a novel data visualization technique, enhances geospatial decision-making by reducing cognitive load. This approach improves site selection and re-planning in complex tasks, even with multiple data attributes.

Keywords:

data visualization decision making decision support geospatial reasoning

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Area of Science:

Geographic Information Science
Cognitive Psychology
Human-Computer Interaction

Background:

Geospatial decision-making tasks can be cognitively demanding, leading to fatigue and bias.
Impact mapping externalizes data into an integrated decision surface, aggregating and visualizing combined utility.
Previous research suggests benefits for geospatial decisions, but dynamic decision-making impacts were unknown.

Purpose of the Study:

To evaluate the effectiveness of composite impact maps in aiding geospatial reasoning and decision-making.
To investigate the influence of impact maps on dynamic decision-making, considering factors like fatigue and anchoring bias.
To determine conditions under which impact mapping is beneficial or detrimental.

Main Methods:

A two-stage disaster relief resource allocation task was designed.
The experiment systematically manipulated the presence of a composite impact map.
The number of attributes presented to decision-makers was also varied.

Main Results:

Composite impact maps significantly increased the utility of selected sites.
The presence of impact maps led to more re-planning decisions and fewer information display views.
Workload was reduced, with greater benefits observed when more attributes were evaluated.

Conclusions:

Composite impact maps improve repeated geospatial reasoning and mitigate anchoring bias.
This improvement stems from reduced cognitive demands required to interpret multi-attribute information.
Impact mapping is a valuable data visualization technique for high-demand geospatial decision environments.