Data Visualization Methods

A graphical computing system, comprising:

• one or more processors;
• memory;
• and
• one or more programs stored in the memory for execution by the one or more processors, the one or more programs including:
• instructions for receiving a finite set of data points;
• instructions for calculating a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value, wherein each conical distribution comprises a set of locations and a unique distribution value corresponding to each location;
• instructions for determining that a first data value of a first data point is less than a distribution value for a second data point, wherein the distribution value has a location that corresponds to the first data point;
• instructions for based on the determination, calculating an inverse conical distribution in a region around the first data point;
• and
• instructions for combining the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.

A non-transitory computer readable storage medium storing one or more programs for execution by an electronic computing device, the one or more programs comprising:

• instructions for receiving a finite set of data points;
• instructions for calculating a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value, wherein each conical distribution comprises a set of locations and a unique distribution value corresponding to each location;
• instructions for determining that a first data value of a first data point is less than a distribution value for a second data point, wherein the distribution value has a location that corresponds to the first data point;
• instructions for based on the determination, calculating an inverse conical distribution in a region around the first data point;
• and
• instructions for combining the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.