Abstract: Systems and methods for producing geospatial data images produce graphical representations of flows of commodities between geographic regions along likely transportation routes and their dependencies. Raw economic and other data associating with discrete geographic locations are combined with data metadata from other sources, including transportation network data. Images may be generated at user-specified degrees of commodity category granularity and geographic granularity and may contain information at significantly higher degree of geographic granularity than the original raw economic data.

Abstract: Systems and methods for producing geospatial images representing flows of commodities between geographic regions and their dependencies are disclosed. Raw economic and other data associating with discrete geographic locations are combined with data metadata from other sources, including transportation network data. Images may be generated at user-specified degrees of commodity category granularity and geographic granularity and may be contain information at significantly higher degree of geographic granularity than the original raw economic data. Quantities of flows are represented graphically by parameters such as widths of lines, paths, or other graphic elements.

Abstract: Systems and methods for producing geospatial data images produce graphical representations of flows of commodities between geographic regions along likely transportation routes and their dependencies. Raw economic and other data associating with discrete geographic locations are combined with data metadata from other sources, including transportation network data. Images may be generated at user-specified degrees of commodity category granularity and geographic granularity and may be contain information at significantly higher degree of geographic granularity than the original raw economic data.

Abstract: Systems and methods for producing geospatial images representing flows of commodities between geographic regions and their dependencies are disclosed. Raw economic and other data associating with discrete geographic locations are combined with data metadata from other sources, including transportation network data. Images may be generated at user-specified degrees of commodity category granularity and geographic granularity and may be contain information at significantly higher degree of geographic granularity than the original raw economic data. Quantities of flows are represented graphically by parameters such as widths of lines, paths, or other graphic elements.

Abstract: A pallet configured to be coupled to another pallet to form a modular structure. The pallet includes a top surface and a bottom surface including a longitudinal center axis. First and second cross-bar elements are coupled to and extend outward from the bottom surface. The first cross-bar element is positioned parallel to and at a first distance from the center axis, and the second cross-bar element positioned parallel to and at a second distance from the center axis different than the first distance.