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Geographical event space-time autocorrelation evaluation method

A spatial autocorrelation and autocorrelation technology, applied in geographic information databases, electrical digital data processing, special data processing applications, etc., can solve problems such as unsuitable spatiotemporal autocorrelation 3D visualization

Active Publication Date: 2017-10-10
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this visualization method is not suitable for 3D visualization of spatiotemporal autocorrelation

Method used

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  • Geographical event space-time autocorrelation evaluation method
  • Geographical event space-time autocorrelation evaluation method
  • Geographical event space-time autocorrelation evaluation method

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Embodiment Construction

[0028] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0029] Please refer to figure 1 and figure 2 , an embodiment of the present invention provides a method for evaluating the spatiotemporal autocorrelation of geographic events, comprising the following steps:

[0030] (1) Obtain location information and time of occurrence of geographic events;

[0031] (2) Layer time, and aggregate geographic events in areas of different time layers according to location information and occurrence time markers; divide time into n time periods, n time periods correspond to n time layers, and each time layer consists of It consists of m areas, and the area structure of each layer is the same, then the n time layers have n×m areas, the areas are all polygons, and each area is composed of states, counties, census tracts ...

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Abstract

The invention discloses a geographical event space-time autocorrelation evaluation method. The geographical event space-time autocorrelation evaluation method comprises the following steps of (1) acquiring the location information and occurrence time of geographical events; (2) layering the time; (3) calculating the frequency; (4) calculating space-time weight of all the geographical events; (5) calculating a global space-time Moran index and a local space-time association indicator, and evaluating global space-time association and local space-time association of all the geographical events. The invention provides a space-time Moran cluster diagram for three-dimensional visualization to help people visually observe the association among space-time events.

Description

technical field [0001] The invention relates to spatial statistics and spatiotemporal data mining, in particular to a method for evaluating the spatiotemporal autocorrelation of geographic events. Background technique [0002] With the increasing availability and ease of access to data on the Internet and mobile devices, a large amount of new data representing various aspects of life in a given area and at a given time period is continuously generated and has real-world availability. Events that occur over time associated with a definable area are defined as geographic events. These events not only form spatial patterns over time, but are spatial processes that represent how events develop over time. In today's era of big data, geographic event data is often sourced from a wide variety of sources, requiring new methods to analyze and understand them. [0003] According to the first law of geography, there is a certain degree of spatial correlation between geographical even...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/29
Inventor 万波龚君芳李圣文
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)