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Open AccessCommunication

Holistics 3.0 for Health

Hanson Center for Space Science, University of Texas at Dallas, Richardson, TX 75080, USA
Center on Society and Health, Virginia Commonwealth University, Richmond, VA 23298, USA
GIS & Remote Sensing Program, University of Mississippi Medical Center, MS 39216, USA
ACOS Research and Development, VA North Texas Health Care System, Dallas, TX 75216, USA
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2014, 3(3), 1023-1038;
Received: 21 February 2014 / Revised: 1 July 2014 / Accepted: 10 July 2014 / Published: 24 July 2014
(This article belongs to the Special Issue Remote Sensing and Geospatial Technologies in Public Health)
PDF [3867 KB, uploaded 24 July 2014]


Human health is part of an interdependent multifaceted system. More than ever, we have increasingly large amounts of data on the body, both spatial and non-spatial, its systems, disease and our social and physical environment. These data have a geospatial component. An exciting new era is dawning where we are simultaneously collecting multiple datasets to describe many aspects of health, wellness, human activity, environment and disease. Valuable insights from these datasets can be extracted using massively multivariate computational techniques, such as machine learning, coupled with geospatial techniques. These computational tools help us to understand the topology of the data and provide insights for scientific discovery, decision support and policy formulation. This paper outlines a holistic paradigm called Holistics 3.0 for analyzing health data with a set of examples. Holistics 3.0 combines multiple big datasets set in their geospatial context describing as many areas of a problem as possible with machine learning and causality, to both learn from the data and to construct tools for data-driven decisions. View Full-Text
Keywords: geospatial; machine learning; Big Data; health; remote sensing; Holistics 3.0; data-driven decisions geospatial; machine learning; Big Data; health; remote sensing; Holistics 3.0; data-driven decisions

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Lary, D.J.; Woolf, S.; Faruque, F.; LePage, J.P. Holistics 3.0 for Health. ISPRS Int. J. Geo-Inf. 2014, 3, 1023-1038.

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