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Basic mapping principles for visualizing cancer data using Geographic Information Systems (GIS).

Cynthia A Brewer¹

¹Department of Geography, Pennsylvania State University, University Park 16802-5011, USA. cbrewer@psu.edu

American Journal of Preventive Medicine

|February 7, 2006

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Geographic Information System (GIS) mapping is an increasingly valuable tool for cancer researchers, aiding in hypothesis generation, data analysis, and result presentation. Effective mapmaking involves careful consideration of symbols, colors, data classes, and map projections for clear communication.

Area of Science:

Geographic Information System (GIS) in Cancer Research
Data Visualization and Cartography

Background:

Maps and data graphics are essential for idea generation and hypothesis formulation in research projects.
These visual tools are crucial for evaluating model results during analysis and presenting findings to diverse audiences.
Cancer researchers are increasingly adopting GIS mapping as a key analytical and illustrative tool.

Purpose of the Study:

To highlight the evolving role and application of GIS mapping in cancer research.
To emphasize the importance of diverse symbolization approaches for data investigation and illustration.
To underscore the necessity of skilled mapmaking for effective scientific communication.

Main Methods:

Exploration of various symbolization techniques within GIS mapping.

Related Experiment Videos

Consideration of multiple map representations for comprehensive data analysis.

Application of coordinated data classing for examining related datasets.

Utilizing multivariate symbols for comparative data analysis.

Focus on informative legend design and appropriate map projection selection.

Main Results:

A single map is one of many possible data representations; multiple maps enhance understanding.
Map elements like symbol types, color choices, and data classing significantly influence revealed information.
Tailoring these elements to specific data characteristics is crucial for accurate representation.
Series mapping with coordinated classing and multivariate symbols facilitate deeper data examination.
Effective legend wording and suitable map projections are fundamental for skilled cartography.

Conclusions:

GIS mapping is a versatile tool for cancer researchers, supporting the entire research lifecycle.
Strategic choices in symbolization, data handling, and presentation elements are vital for impactful data communication.
Proficiency in mapmaking techniques ensures that research findings are clearly and accurately conveyed to various stakeholders.