A method for easily aggregating spatial data using user-defined
parameters with minimal knowledge of or experience using R.
Details
GAT's goals:
simplify geographic aggregation
be in a format accessible to anyone
not require prior experience with R
be customizable for advanced R users
standardize the aggregation process
To run the default version of GAT, follow the
GAT walkthrough in the vignettes.
For information about how GAT works, check out the
GAT technical notes.
GAT was made possible through funding made available to the New York State
Department of Health / HRI by the CDC through grant # NUE1EH001341-03-01.
Its content is solely the responsibility of the authors and does not
necessarily represent the official views of the CDC.
Author
Abigail Stamm, Bureau of Environmental and Occupational
Epidemiology, New York State Department of Health
Gwen Babcock, Bureau of Environmental and Occupational
Epidemiology, New York State Department of Health
Alpha-testers
Neil Muscatiello, Bureau of Environmental and Occupational
Epidemiology, New York State Department of Health
Arjita Rai, Bureau of Environmental and Occupational
Epidemiology, New York State Department of Health
Catherine Wargo, Bureau of Environmental and Occupational
Epidemiology, New York State Department of Health
Christophe Maxime Fokoua Dongmo, Bureau of Environmental and Occupational
Epidemiology, New York State Department of Health
Marine Nalbandyan, Bureau of Environmental and Occupational
Epidemiology, New York State Department of Health
(former)
Beta-testers
Angela Werner, Centers for Disease Control and Prevention
Other contributors
Douglas Done, Bureau of Environmental and Occupational Epidemiology,
New York State Department of Health
Thomas Talbot, Bureau of Environmental and Occupational Epidemiology,
New York State Department of Health (retired)