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Population distribution prediction method based on interaction between physical space and social network space

A technology of spatial interaction and physical space, applied in the direction of biological neural network model, prediction, data processing application, etc., to achieve accurate prediction effect

Active Publication Date: 2021-10-08
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing population distribution prediction methods mainly focus on the interaction in physical space or the sequence of activity intensity in temporal patterns, ignoring the impact of social network spatial interaction on population distribution

Method used

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  • Population distribution prediction method based on interaction between physical space and social network space
  • Population distribution prediction method based on interaction between physical space and social network space
  • Population distribution prediction method based on interaction between physical space and social network space

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Embodiment Construction

[0048] The present invention discloses a method for predicting population distribution based on the interaction between physical space and social network space, an intelligent terminal, and a storage medium. Detailed description. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049]Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understood that when an element is referred to as being "connected" o...

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Abstract

The invention discloses a method for predicting population distribution based on the interaction between physical space and social network space. The method includes: acquiring historical population data on fine temporal and spatial scales, and preprocessing the historical population data on fine temporal and spatial scales to obtain preprocessed data; A spatial interaction fusion matrix is ​​generated according to the preprocessing data; a population distribution prediction model is generated according to the spatial interaction fusion matrix; population distribution prediction data is obtained according to the population distribution prediction model. The population distribution prediction method proposed in the embodiment of the present invention takes into account the interaction between the physical space and the social network space at the same time, and can more accurately predict the population distribution data of fine spatiotemporal scale and fine spatiotemporal scale.

Description

technical field [0001] The invention relates to the technical fields of urban planning and geography, and in particular to a population distribution prediction method based on the interaction between physical space and social network space. Background technique [0002] Population changes in geographic spatial units are a macroscopic manifestation of human movement in space and are closely related to social and economic development. Population distribution statistics are widely used in urban planning, road traffic, environmental protection, medical and health and other fields. Mastering the dynamic changes of urban population density at a fine temporal and spatial scale, exploring the characteristics of urban population movement and its evolution law, can provide important decisions for urban land use planning and traffic planning, risk assessment of public safety incidents and emergency command, commercial location selection and advertising delivery, etc. in accordance wit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/00G06N3/04G06K9/62G06F30/27G06F17/16
CPCG06Q10/04G06Q50/01G06F17/16G06F30/27G06N3/044G06N3/045G06F18/214
Inventor 李明晓高松张恒才陆锋涂伟
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS