I discovered this after spending an afternoon at the University of Wyoming's Geographic Information Systems Science Center, where geographer and GIS specialist Shawn Lanning explained that he'd discovered it by using "a spatial analyst extension to access the Euclidean distance tool, and a Lambert conformal conic projection, with a raster 100 meters x 100 meters cell parameter".
All distance covariates were calculated using the Spatial AnalystEuclidean Distance tool in ArcMap Distance to nearest road Distance (m) to paved, improved un-paved, or maintained dirt roads.
Continuous straight-line surfaces maps for D distance from the city center were computed for each city using the "Euclidean Distance" tool that calculates straight-line distance for each cell to the city centroid source.
We converted the vector layer to a 30-m raster layer and used the Euclidean Distance tool in ArcGIS® 10.3.1 to calculate distance (m) from every 30-m pixel to the nearest patch of each habitat type.
Furthermore, a series of parametric studies were conducted on the 3D element model, and the effect of tension level (clamping distance), tooling friction, mesh size and fracture locus on failure modes and load displacement responses were investigated.
A full factorial experiment consisting of 36 conditions was designed to examine the effects of working height, distance, tool, and fastener joint hardness on handle displacement and grip forces.
So, having decided on where I wanted to put my money, I did my own calculations with the help of The Farm's Trees for Airmiles page and Geobyte's City Distance Tool to calculate my mileage: Flying from St . Louisto Mexico City via Dallas racked up 1,481 miles; multiply that by 1.9 as Carbon Footprint suggests and you get 2,813 miles.
The distance was measured on the PACS software with a linear distance tool.
Dipole distances were calculated using the atomic distance tool in ChemBio3D Ultra 11.0.
Pixel length was then converted to μm using the Calibrate for Distance tool.
