Microsoft Technology Licensing, LLC

Safiya Bhojawala

Samuel C Radakovitz

Ray Ridl

Johnny S Campbell

Brian Russell Glaeske

Crystal L Gilson

Ingrid Haug

Kevin Honeymann

Mara V Trygstad

Chris Garty

Igor B Peev

Carlos Augusto Otero

Charles David Ellis

Dominique Fortier

John Alfred Payne

Daniel Benjamin Witriol

Ehab Sobhy

Catherine William Neylan

Lewey Geselowitz

Jakob Peter Nielsen

Liyin Xue

Puneet Bhatia

James Thomas Marshall

Ashvini Sharma

Jagan Subhas

Aspects disclosed herein relate to the use of navigational control UI elements to aid in navigating large surfaces on a touchscreen device. The navigational control UI element may be operable to facilitate traversal of the navigable surface along the axis upon which the navigational control UI element is placed. In alternate examples, the navigational control element may be operable to provide functionality to traverse or adjust the navigable surface along both the horizontal vertical axes. In still further aspects, other types of navigational control UI elements may provide the ability to directly jump to a specific position on the navigable surface.

Navigating long distances on navigable surfaces

Systems, methods, and software for data visualization frameworks are provided herein. An exemplary method includes identifying a target dataset from which to determine data insights for presentation in an insight interface to the user application. The method includes determining data insight candidates for the target dataset based at least on usage modalities associated with processing one or more past datasets, and establishing content of the data insight candidates according to at least the target dataset and the usage modalities, where the content of each of the data insight candidates includes at least one insight object described by object metadata that indicates at least a processing lineage used to produce the at least one insight object.

Insight objects as portable user application objects

Systems and methods are provided to improve map type data visualizations in which custom images are used as background against which datasets are visualized. In various examples, coordinate systems are automatically generated and applied to the custom image based on the positional data of the dataset. The custom image may replace a pre-existing background, and the plotting of the dataset may be automatically modified based on differences between the pre-existing background and the custom image. Aspects provide for enhanced user control of the map type visualization to further modify how datasets are plotted and how visualizations are presented. Example modifications include offsets and scales, which may be automatically determined and applied or set manually. In some examples, the custom image may be part of a set of image tiles, which are operable to provide various levels of detail from several viewing angles and heights.

Custom map configuration

Display screen with graphical user interface

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Seattle, WA, United States of America

Safiya Bhojawala