Cluster performs a new type of spatial analysis of pixelated data (SAPD). Users manually select up to 24 non-target colors in a digital image and then move a slider bar to highlight the clusters of target pixels in the image. The app calculates the percent area of the image occupied by the identified clusters. Before performing spatial analysis, the user deselects anomalous clusters by visual inspection and by setting the minimum threshold value for cluster size. A test for random distribution of clusters is performed by a t-test that compares mean inter-cluster distance in the observed image with a user-selected number of randomly generated images, wherein clusters are placed in rank order of size and both the exact shape and compass orientation of each cluster is retained. Program output is a downloadable spreadsheet that includes data about the clusters, including cluster size, number, proximity, and cluster shape parameters. The app may be applied to any digital image at any scale from the molecular to the galactic. Patterns analyzed can include those in ecology, geography, botany, demographics, astronomy and other disciplines. Cluster was developed at the University of Hawaii and Cornell University.

SYSTEM REQUIREMENTS: 2GB of memory and 8GB of available space. iMac (Mid 2007 or newer), MacBook (Late 2008 Aluminum, or Early 2009 or newer), MacBook Pro (Mid/Late 2007 or newer), Xserve (Early 2009), MacBook Air (Late 2008 or newer), Mac mini (Early 2009 or newer), Mac Pro (Early 2008 or newer).

Ratings and Reviews

J8LO ,

Genius. Pure. Brilliance.

This is revolutionary. I am gobsmacked. My Native American(s) Migration Studies & Language Diagnosis can finally move forward. The data from our drone flights is now undergoing appropriate & objective analysis at a level unavailable heretofore even to the best & most highly trained & aided human eye. This pattern recognition on a macro level is crucial to our understanding of ancient communications & interactions which are leading us to new solutions for today’s problems from troubled past so tomorrow’s children will hopefully enjoy an even greater sense of place in this world. By helping us all to better recognize & understand our home, from the mili to the millions, you’ve done us all a great service, not only in bringing new life to the scientific community with this wonderful tool, this simple yet profound means of exploring exactly the perspective necessary, but by giving us back our sense of the space around us & our spacial relations, you’ve re-entered us into our COMFORT ZONE, as a whole. What a relief. Again, what brilliance. What genius. Already you’ve sped our processes by 660% & our project return date has been bumped from April 1, 2017 back to its original date of February 1, 2017!!! Thank you so much!


University of Hawaii
4.6 MB
OS X 10.10 or later, 64-bit processor
Age Rating
Rated 4+
© 2016 University of Hawaii


  • Family Sharing

    With Family Sharing set up, up to six family members can use this app.

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