The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 13, 2017

Filed:

Aug. 10, 2016
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Peter Bak, Yokneam Ilit, IL;

Gilad M. Saadoun, Haifa, IL;

Harold J. Ship, Galil Tachton, IL;

Craig A. Statchuk, Ontario, CA;

Avi Yaeli, Ramot Menashe, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/20 (2006.01); G06K 9/00 (2006.01); G06T 5/00 (2006.01); G06K 9/62 (2006.01); G06K 9/52 (2006.01); G06F 17/30 (2006.01); G06T 17/05 (2011.01); G09B 29/00 (2006.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
G06T 11/20 (2013.01); G06F 17/3053 (2013.01); G06K 9/00476 (2013.01); G06K 9/52 (2013.01); G06K 9/6201 (2013.01); G06K 9/6267 (2013.01); G06T 5/006 (2013.01); G06T 17/05 (2013.01); G06T 19/00 (2013.01); G09B 29/005 (2013.01);
Abstract

A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.


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