Quantitative analysis and visualization of spatial points

A computer program product including a non-transitory computer-storage medium having instructions stored thereon for processing data information, such that the instructions, when carried out by a processing device, cause the processing device to perform operations of:

• receiving a point set;
• simulating at least one point set within the region using a point process;
• dividing the region into a plurality of elements;
• determining a first score for each element of the plurality of elements by weighting the point set within a domain of a predetermined kernel;
• determining a second score for each element by weighting the at least one simulated point set within the domain of the predetermined kernel;
• comparing, for each element, the first score to the second score;
• computing confidence intervals for at least one confidence level having a predetermined statistical significance;
• and
• visualizing at least one of the plurality of elements having a higher score relative to one of the confidence intervals as belonging to a cluster and at least one of the plurality of elements having a lower score relative to a different confidence interval as belonging to an exclusion zone.

A system for analyzing spatial point patterns in a region comprising:

• a host processor coupled to memory, the memory storing instructions that when executed on the host processor cause the system to perform:
• receiving a point set;
• simulating at least one point set within the region using a point process;
• dividing the region into a plurality of elements;
• determining a first score for each element of the plurality of elements by weighting the point set within a domain of a predetermined kernel;
• determining a second score for each element by weighting the at least one simulated point set within the domain of the predetermined kernel;
• comparing, for each element, the first score to the second score;
• computing confidence intervals for at least one confidence level having a predetermined statistical significance;
• and
• visualizing at least one of the plurality of elements having a higher score relative to one of the confidence intervals as belonging to a cluster and at least one of the plurality of elements having a lower score relative to a different confidence interval as belonging to an exclusion zone.