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ADDITIONAL MATERIAL

Surface Mining change over the past 3 decades in the Heart of Appalachia. This study area location is contained within the region outlined by the heart in the following image(click image for source)

Surface Mining change over the past 3 decades in the Heart of Appalachia. This study area location is contained within the region outlined by the heart in the following image(click image for source)

The study found that 2,900 km2 of land has been mined over the last 30 years. Adding this more-recent mining to mines prior to 1985, a cumulative mining footprint of 5,900 km2 has been estimated.

The study found that 2,900 km2 of land has been mined over the last 30 years. Adding this more-recent mining to mines prior to 1985, a cumulative mining footprint of 5,900 km2 has been estimated.

This map is of the study area for a study recently published that extensively mapped the Central Appalachian Region for present of surface mines using vegetation change from satellite imagery over the past three decades when land cover data first became available in 1985. This study by SkyTruth and Duke University Dept. of Biology gives us the temporal resolution necessary to give an accurate representation of surface mine locations like we have never seen before.

This map is of the study area for a study recently published that extensively mapped the Central Appalachian Region for present of surface mines using vegetation change from satellite imagery over the past three decades when land cover data first became available in 1985. This study by SkyTruth and Duke University Dept. of Biology gives us the temporal resolution necessary to give an accurate representation of surface mine locations like we have never seen before.

This is a map showing the literal “Heart of Appalachia,” the Central Appalachian Mountain Region that “stands out“ due to the color red representing poor health and the height representing poverty levels. It just so happened to actually make the shape of a heart with this visualization technique.  In other words, this map is colored based on rankings for counties in the US for over 20 health-related metrics including length and quality of life, as well as access to clinics and quality of care. The top 1,000 counties (of ~ 3,000) appear in blue, while the lower are colored red. Some of the specific socio-economic factors pertaining to health also include diet, exercise, substance/alcohol use, sexual activity, insurance, education, employment, income, and the overall environmental quality such as air or water contaminants. The extrusion value is based on poverty rate, represented as the height of each county polygon. Many of the red counties (i.e., poorer health) also have a higher poverty rate.  To learn more about the model, please visit the County Health Rankings website at: http://www.countyhealthrankings.org/explore-health-rankings/what-and-why-we-rank.  Click for link to download html file of this US health map.

This is a map showing the literal “Heart of Appalachia,” the Central Appalachian Mountain Region that “stands out“ due to the color red representing poor health and the height representing poverty levels. It just so happened to actually make the shape of a heart with this visualization technique.

In other words, this map is colored based on rankings for counties in the US for over 20 health-related metrics including length and quality of life, as well as access to clinics and quality of care. The top 1,000 counties (of ~ 3,000) appear in blue, while the lower are colored red. Some of the specific socio-economic factors pertaining to health also include diet, exercise, substance/alcohol use, sexual activity, insurance, education, employment, income, and the overall environmental quality such as air or water contaminants. The extrusion value is based on poverty rate, represented as the height of each county polygon. Many of the red counties (i.e., poorer health) also have a higher poverty rate.

To learn more about the model, please visit the County Health Rankings website at: http://www.countyhealthrankings.org/explore-health-rankings/what-and-why-we-rank.

Click for link to download html file of this US health map.

This map also shows the Appalachian Region but from a different angle, this time more closely resembling the shape of an actual human heart. Regardless of how you look at the Heart of Appalachia, it is not difficult to see what shapes this area, which is its “distressed” status as defined by the Appalachian Regional Commission as seen in the top left corner. The distressed status is based on a variety of data pertaining to poverty, income, and unemployment.

This map also shows the Appalachian Region but from a different angle, this time more closely resembling the shape of an actual human heart. Regardless of how you look at the Heart of Appalachia, it is not difficult to see what shapes this area, which is its “distressed” status as defined by the Appalachian Regional Commission as seen in the top left corner. The distressed status is based on a variety of data pertaining to poverty, income, and unemployment.

 

A scenario matrix describing the apex of resource availability and community buy-in which are the two primary factors in the implementation of successful, strategic planning. The top right is the best case scenario and the bottom left is the worst. The Heart of Appalachia as a region could be best described as a ”bleeding heart” as apathy and under-funding generally persist. The “HEART Model” aims to influence decision makers to increase funding and bring greater awareness to the issue to ultimately turn the “Bleeding Heart of Appalachia” into a “Warm Hearth.”

 
 
A diagram of surface mining from undisturbed state to the ecological, socio-economic, political problems associated with restoring or reclaiming the landscape

A diagram of surface mining from undisturbed state to the ecological, socio-economic, political problems associated with restoring or reclaiming the landscape

 
These are the 40 data layers used in the analysis to determine the various assets upon running the GIS application with their sources and model coefficients (weights)

These are the 40 data layers used in the analysis to determine the various assets upon running the GIS application with their sources and model coefficients (weights)

This is a map of the 240 sites used for the HEART model in the analysis. This study area is simply the Virginia and West Virginia Counties located in the broader study area mentioned above. The broader study area was the area encompassing the original study by SkyTruth and Duke University to identify locations of surface mining sites

This is a map of the 240 sites used for the HEART model in the analysis. This study area is simply the Virginia and West Virginia Counties located in the broader study area mentioned above. The broader study area was the area encompassing the original study by SkyTruth and Duke University to identify locations of surface mining sites