Spatial clustering feature extraction method for incoming logistics cluster
A feature extraction and logistics technology, applied in the field of logistics analysis, can solve problems such as difficulty in obtaining logistics flow, flow direction, spatiotemporal feature data, lack of spatial aggregation characteristics of logistics enterprises, etc., and achieve the effect of improving the level of just-in-time and lean management.
Active Publication Date: 2021-02-12
JILIN UNIV +1
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[0002] The feature extraction of traditional logistics clusters, because it is very difficult to obtain data on logistics flow, flow direction, and time-space characteristics, focuses on extracting industrial scale and intensification characteristics from the perspective of macro-industrial layout, but lacks scientific and effective methods to extract logistics enterprises from the perspective of logistics clusters. spatial agglomeration features
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[0031] 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 are only It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making...
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The invention discloses a space aggregation feature extraction method for an incoming logistics cluster, and the method comprises the following steps: S1, space-time data collection and standardization, S2, logistics enterprise space distribution feature extraction, S3, logistics enterprise space aggregation degree feature extraction, S4, logistics enterprise road network dependence degree featureextraction, S5, logistics cluster space aggregation feature discrimination, S6, according to the core mode and the axis distribution characteristics, judging a gathering road section and a gatheringarea, and finally judging the axis core pattern. According to the application of the spatial analysis method in the field of logistics cluster characteristic analysis, aiming at the particularity thatlogistics gathering group characteristics are difficult to extract, judge and deduce in practice, the spatial gathering characteristics of a logistics cluster are extracted from three dimensions of spatial distribution characteristics, spatial gathering degree characteristics and road network dependence characteristics.
Description
technical field [0001] The invention relates to a logistics analysis method, in particular to a method for extracting spatial agglomeration features of inbound logistics clusters. Background technique [0002] The feature extraction of traditional logistics clusters, because it is very difficult to obtain data on logistics flow, flow direction, and time-space characteristics, focuses on extracting industrial scale and intensification characteristics from the perspective of macro-industrial layout, but lacks scientific and effective methods to extract logistics enterprises from the perspective of logistics clusters. Spatial agglomeration features. With the recognition of the important position of the logistics industry in the national economy, a nationwide logistics infrastructure network has basically formed, and the research on logistics clusters is in a period of rapid growth, focusing on the research on the characteristics of logistics cluster operations and management, s...
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IPC IPC(8): G06Q10/08G06K9/62
CPCG06Q10/083G06F18/2132G06F18/24323
Inventor 孙宝凤吕傲李春峰陈雨琦谢成杨成延孙禹丁同强孟凡运
Owner JILIN UNIV