Automatically invoked unified visualization interface

    公开(公告)号:US11138216B2

    公开(公告)日:2021-10-05

    申请号:US15539850

    申请日:2015-02-20

    Abstract: A unified visualization interface is disclosed. One example is a system including an association module, a multicasting module, a data sharing module, and a unified visualization interface. The association module associates an identified event in a first visualization system with a visualization function. The multicasting module stores event data related to the identified event and the associated visualization function in a shared data source, and multicasts the identified event to a second visualization system. The data sharing module associates the event data with characteristics of the first visualization system, and shares, in response to the multicast of the identified event, the shared data source with the second visualization system. The unified visualization interface automatically invokes, without software changes, the second visualization system in response to the multicast of the identified event, the invoking based on the shared data source including the characteristics of the first visualization system.

    Pixel-based visualizations of time series data using helices
    2.
    发明授权
    Pixel-based visualizations of time series data using helices 有权
    使用螺旋的时间序列数据的基于像素的可视化

    公开(公告)号:US09269172B2

    公开(公告)日:2016-02-23

    申请号:US14191420

    申请日:2014-02-26

    CPC classification number: G06T11/206 G06T19/20 G06T2200/24 G06T2219/2016

    Abstract: Example embodiments relate to providing pixel-based visualizations of time series data using nested helices. In example embodiments, helix portions in the time series data may be identified according to a measured time interval, where each of the helix portions represents the measured time interval in the time series data. A helical time period may then be determined and used as a helical revolution in a helical pixel representation. At this stage, the helical pixel representation may be generated using the helix portions, where proximate helix portions along a common line parallel to an axis of the helical pixel representation are chronologically separated by the helical time period.

    Abstract translation: 示例实施例涉及使用嵌套螺旋提供基于像素的时间序列数据的可视化。 在示例实施例中,可以根据测量的时间间隔来识别时间序列数据中的螺旋部分,其中每个螺旋部分表示时间序列数据中测量的时间间隔。 然后可以确定螺旋时间周期并将其用作螺旋像素表示中的螺旋旋转。 在这个阶段,螺旋像素表示可以使用螺旋部分生成,其中沿着平行于螺旋像素表示的轴的公共线的近似螺旋部分按时间顺序间隔螺旋时间段。

    Visual Analytics of Spatial Time Series Data Using a Pixel Calendar Tree
    3.
    发明申请
    Visual Analytics of Spatial Time Series Data Using a Pixel Calendar Tree 有权
    使用像素日历树的空间时间序列数据的视觉分析

    公开(公告)号:US20140365149A1

    公开(公告)日:2014-12-11

    申请号:US13912090

    申请日:2013-06-06

    Abstract: Example embodiments relate to providing visual analytics of spatial time series data. In example embodiments, sensors may be located at regions within a building for collecting sensor data at regular time intervals. A sensor hierarchy can be generated including sensor nodes that are hierarchically arranged according to a physical infrastructure of the building, where each of the sensor nodes corresponds to a sensor. Sensor data can be obtained from the sensors, and a pixel calendar tree can be generated based on the sensor data and the sensor hierarchy, where the pixel calendar tree is recursively subdivided into tree portions according to a proportion of the sensor data attributable to each of the sensors. The pixel calendar tree can be displayed, where each of the tree portions includes time series sensor data of a corresponding region that is generated based on the sensor data.

    Abstract translation: 示例性实施例涉及提供空间时间序列数据的视觉分析。 在示例实施例中,传感器可以位于建筑物内的区域,以便以规则的时间间隔收集传感器数据。 可以生成传感器层级,其包括根据建筑物的物理基础设施分层布置的传感器节点,其中每个传感器节点对应于传感器。 可以从传感器获得传感器数据,并且可以基于传感器数据和传感器层级来生成像素日历树,其中像素日历树根据归因于每个传感器数据的传感器数据的比例被递归地细分为树部分 传感器。 可以显示像素日历树,其中每个树部分包括基于传感器数据生成的相应区域的时间序列传感器数据。

    Visually interactive identification of a cohort of data objects similar to a query based on domain knowledge

    公开(公告)号:US10509800B2

    公开(公告)日:2019-12-17

    申请号:US15519734

    申请日:2015-01-23

    Abstract: Visually interactive identification of a cohort of similar data objects is disclosed. One example is a system including a data processor to access a plurality of data objects, each data object comprising a plurality of numerical components, where each component represents a data feature of a plurality of data features, and to identify, for each data feature, a feature distribution of the numerical components. A selector selects a sub-plurality of the data features of a query object, where a given data feature is selected if the component representing the given data feature is a peak for the feature distribution. An evaluator determines a similarity measure based on the sub-plurality of the data features. An interaction processor iteratively processes selection of a sub-plurality of the data features based on domain knowledge, and identifies, based on the similarity measures, a cohort of data objects similar to the query object.

    Map with different degrees of overlapping geocoded pixels

    公开(公告)号:US10198158B2

    公开(公告)日:2019-02-05

    申请号:US14904751

    申请日:2013-07-19

    Abstract: A pattern of geocoded pixels is generated by accessing data point values, where each data point value includes an attribute value and coordinates of a geographic location. Each data point value corresponds to a geocoded pixel that is positioned on the pattern based on the coordinates of the data point value such some geocoded pixels overlap other geocoded pixels. Different levels of the pattern of geocoded pixels correspond to a different degree of overlap between the geocoded pixels. The different levels of the pattern of geocoded pixels are associated with different magnification levels of a geographic map such that changing a magnification level of the geographic map causes a degree of overlap between the geocoded pixels of the pattern to change.

    Visual analytics of spatial time series data using a pixel calendar tree
    7.
    发明授权
    Visual analytics of spatial time series data using a pixel calendar tree 有权
    使用像素日历树的空间时间序列数据的视觉分析

    公开(公告)号:US09568502B2

    公开(公告)日:2017-02-14

    申请号:US13912090

    申请日:2013-06-06

    Abstract: Example embodiments relate to providing visual analytics of spatial time series data. In example embodiments, sensors may be located at regions within a building for collecting sensor data at regular time intervals. A sensor hierarchy can be generated including sensor nodes that are hierarchically arranged according to a physical infrastructure of the building, where each of the sensor nodes corresponds to a sensor. Sensor data can be obtained from the sensors, and a pixel calendar tree can be generated based on the sensor data and the sensor hierarchy, where the pixel calendar tree is recursively subdivided into tree portions according to a proportion of the sensor data attributable to each of the sensors. The pixel calendar tree can be displayed, where each of the tree portions includes time series sensor data of a corresponding region that is generated based on the sensor data.

    Abstract translation: 示例性实施例涉及提供空间时间序列数据的视觉分析。 在示例实施例中,传感器可以位于建筑物内的区域,以便以规则的时间间隔收集传感器数据。 可以生成传感器层级,其包括根据建筑物的物理基础设施分层布置的传感器节点,其中每个传感器节点对应于传感器。 可以从传感器获得传感器数据,并且可以基于传感器数据和传感器层级来生成像素日历树,其中像素日历树根据归因于每个传感器数据的传感器数据的比例被递归地细分为树部分 传感器。 可以显示像素日历树,其中每个树部分包括基于传感器数据生成的相应区域的时间序列传感器数据。

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