Abstract: Various embodiments are described herein for systems and methods for allowing user at a client terminal to interacts with a graphical user interface having a DGGS globe to perform spatial analysis on DGGS spatial data based on a spatial query on unified spatial data that may be obtained from distributed geospatial data sources having different data formats. The spatial analysis results can include a resulting collection of cells that can be displayed on the DGGS globe and/or aggregated spatial statistics that can be displayed in a DGGS legend at the graphical user interface. In one aspect, the spatial analysis can be iteratively performed to obtain a refined resulting collection of cells and aggregated spatial statistics. In another aspect, the resulting cells and/or aggregated spatial statistics can be added to a geospatial data source that can be accessed by another client terminal that is performing other geospatial analysis.

Abstract: Various embodiments are described herein for systems and methods for allowing user at a client terminal to interacts with a graphical user interface having a DGGS globe to perform spatial analysis on DGGS spatial data based on a spatial query on unified spatial data that may be obtained from distributed geospatial data sources having different data formats. The spatial analysis results can include a resulting collection of cells that can be displayed on the DGGS globe and/or aggregated spatial statistics that can be displayed in a DGGS legend at the graphical user interface. In one aspect, the spatial analysis can be iteratively performed to obtain a refined resulting collection of cells and aggregated spatial statistics. In another aspect, the resulting cells and/or aggregated spatial statistics can be added to a geospatial data source that can be accessed by another client terminal that is performing other geospatial analysis.

Abstract: A computer-implemented method for managing large volumes of data comprises dividing data about a number of features into a plurality of data groups, each of the groups having a plurality of features, each of the features having a plurality of properties, and each of the properties having a property value; for each of the groups, determining a number of distribution ranges for the property values for each of the properties; for each of the groups, determining a number of features having property values that are within each of the distribution ranges; and generating a summary associated with each of the groups, the summary comprising the properties of the features in the group and the number of the features that are within each of the distribution ranges for the properties.

Abstract: A computer-implemented method for managing large volumes of data comprises dividing data about a number of features into a plurality of data groups, each of the groups having a plurality of features, each of the features having a plurality of properties, and each of the properties having a property value; for each of the groups, determining a number of distribution ranges for the property values for each of the properties; for each of the groups, determining a number of features having property values that are within each of the distribution ranges; and generating a summary associated with each of the groups, the summary comprising the properties of the features in the group and the number of the features that are within each of the distribution ranges for the properties.