Abstract: A visualization of pavement conditions that are evaluated with respect to weather, pavement, and sub-surface variables provides users responsible for roadway infrastructure maintenance and monitoring with information such as depths of accumulated precipitation across “slices” of a roadway for each particular time in a given time period. The accumulated precipitation information contains the depths for each of several different types of precipitation and is shown in three dimensions, where x represents the lane of the roadway, y represents the depths of precipitation, and z represents time. A visualization model generates an appearance of a roadway lane upon which the accumulated precipitation increases or decreases over time corresponding to the results of weather and maintenance acting on that lane.

Abstract: A data visualization technique rapidly loads images to decrease data transfer time and associated bandwidth cost for animation effects in displays of data, and includes initially loading raster imagery at a coarser zoom level than a current view on the display, and then manipulating the imagery using general-purpose image manipulation algorithms to interpolate data points as a user adjusts the zoom level. In this manner, the data visualization technique intentionally displays a coarser view than that selected, rather than transferring entirely new imagery or datasets, and manipulates the imagery as necessary to avoid loading more data from a remote server to the local client each time the user adjusts the view.

Abstract: A data visualization technique rapidly loads images to decrease data transfer time and associated bandwidth cost for animation effects in displays of data, and includes initially loading raster imagery at a coarser zoom level than a current view on the display, and then manipulating the imagery using general-purpose image manipulation algorithms to interpolate data points as a user adjusts the zoom level. In this manner, the data visualization technique intentionally displays a coarser view than that selected, rather than transferring entirely new imagery or datasets, and manipulates the imagery as necessary to avoid loading more data from a remote server to the local client each time the user adjusts the view.

Abstract: A data visualization technique rapidly loads images to decrease data transfer time and associated bandwidth cost for animation effects in displays of data, and includes initially loading raster imagery at a coarser zoom level than a current view on the display, and then manipulating the imagery using general-purpose image manipulation algorithms to interpolate data points as a user adjusts the zoom level. In this manner, the data visualization technique intentionally displays a coarser view than that selected, rather than transferring entirely new imagery or datasets, and manipulates the imagery as necessary to avoid loading more data from a remote server to the local client each time the user adjusts the view.

Abstract: A visualization of pavement conditions that are evaluated with respect to weather, pavement, and sub-surface variables provides users responsible for roadway infrastructure maintenance and monitoring with information such as depths of accumulated precipitation across “slices” of a roadway for each particular time in a given time period. The accumulated precipitation information contains the depths for each of several different types of precipitation and is shown in three dimensions, where x represents the lane of the roadway, y represents the depths of precipitation, and z represents time. A visualization model generates an appearance of a roadway lane upon which the accumulated precipitation increases or decreases over time corresponding to the results of weather and maintenance acting on that lane.

Abstract: A data visualization technique rapidly loads images to decrease data transfer time and associated bandwidth cost for animation effects in displays of data, and includes initially loading raster imagery at a coarser zoom level than a current view on the display, and then manipulating the imagery using general-purpose image manipulation algorithms to interpolate data points as a user adjusts the zoom level. In this manner, the data visualization technique intentionally displays a coarser view than that selected, rather than transferring entirely new imagery or datasets, and manipulates the imagery as necessary to avoid loading more data from a remote server to the local client each time the user adjusts the view.