Self-adaptive co-location pattern obtaining method and apparatus considering spatial instance distance weight

A technology of distance weight and acquisition method, which is applied in special data processing applications, instruments, electrical digital data processing, etc.

Active Publication Date: 2016-04-27
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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[0005] The present invention aims to solve the problems described above

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  • Self-adaptive co-location pattern obtaining method and apparatus considering spatial instance distance weight
  • Self-adaptive co-location pattern obtaining method and apparatus considering spatial instance distance weight
  • Self-adaptive co-location pattern obtaining method and apparatus considering spatial instance distance weight

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Embodiment Construction

[0089] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0090] In order to better illustrate the technical solutions provided by the embodiments of the present invention, the following concepts are first described:

[0091...

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Abstract

The present invention provides a self-adaptive co-location pattern obtaining method and apparatus considering a spatial instance distance weight. The method comprises the steps of: establishing Thiessen polygons by using instances having the same spatial characteristics as target layers, and establishing a normalization instance dual table on basis of connection relationships of instances of the current target layer and other characteristic instances in a range of influence of the Thiessen polygons; performing distribution parameter calculation on a distance set of the normalization instance dual table, and obtaining normalization distance truncation parameters; establishing a distance feedback function by utilization of the normalization distance truncation parameters, and calculating a distance feedback value of a connection instance couple having any two different characteristics; and obtaining the final co-location pattern based on distance feedback function calculation on the basis of the distance feedback value. The defects of a conventional co-location pattern mining method in aspects of area adaptability, high efficiency and validity are solved.

Description

technical field [0001] The present invention relates to the field of spatial data pattern mining, and in particular to a method and device for mining co-located patterns that are adaptive to spatial point element data and consider the adjacent distance weights of point elements. Background technique [0002] Spatial colocation pattern refers to the combination of a series of spatial features, and the frequent occurrence of point instance elements of these combinations in the same place often indicates that they have some kind of universal dependence in space. Alignment pattern mining has been widely used in population distribution, mobile communication, public safety, environmental management, urban planning and other fields. The mining results can provide clues for scholars to further study the internal mechanism of spatial feature distribution, and can also assist decision makers make scientific predictions. Taking urban planning as an example, it was found that most of t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/29
Inventor 姚晓婧彭玲池天河杨亮崔绍龙
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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