Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Real estate price impact factor analysis method combining geographic weighting and multilayer linearity

A technique of geographic weighting and impact factor, applied in the field of geographic information science, which can solve problems such as not considering spatial heterogeneity

Pending Publication Date: 2021-11-09
WUHAN UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Similarly, the hierarchical linear model, as a global model, does not consider spatial heterogeneity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real estate price impact factor analysis method combining geographic weighting and multilayer linearity
  • Real estate price impact factor analysis method combining geographic weighting and multilayer linearity
  • Real estate price impact factor analysis method combining geographic weighting and multilayer linearity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention is mainly based on the basic idea in spatial statistics, combines the geographic weighted regression model and the multi-layer linear regression model, and considers the multi-scale phenomenon and spatial heterogeneity phenomenon in the real estate price influencing factor analysis problem at the same time, so as to provide More reliable and reasonable analysis results of factors affecting real estate prices.

[0038] The method provided by the invention requires computer software technology with manual intervention to carry out. Embodiment The process of the present invention is described in detail by analyzing the influencing factors of second-hand housing prices in Wuhan. The data contains various attribute information (spatial location, average price per square meter, property fee, building area, whether it is a high-rise, etc.) of 19,854 sets of second-hand housing in 795 communities, neighborhood information (distance to the nearest water sys...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a real estate price impact factor analysis method combining geographical weighting and multilayer linearity, which comprises the following steps: grouping all real estate project samples according to space coordinates, and classifying the samples in the same area in position into one group; according to the method, classifying real estate attribute variables and related geographic space variables into spatial variables and non-spatial variables, performing variable optimization, obtaining a final model, wherein the final model comprises group-level variables and sample-level variables; constructing a multi-layer linear model by using the sample-level variables and solving the multi-layer linear model; and combining the final solution, and combining the parameters and variables obtained in the previous step to explain dependent variables so as to obtain a real estate price influence factor analysis result. In order to solve a multi-scale phenomenon and a spatial heterogeneity phenomenon in a real estate price impact factor analysis problem, a multi-layer linear regression model and a geographical weighted regression model are combined, and a more reasonable real estate price impact factor analysis result is automatically given.

Description

technical field [0001] The invention belongs to the field of geographic information science, in particular to a method for analyzing factors affecting real estate prices combined with geographic weighting and multi-layer linearity. Background technique [0002] The housing problem is an important issue related to people's livelihood. With the rapid growth of real estate market prices in many places in recent years, this problem has become more serious and has become a topic of extensive discussion among the masses. At present, there are already many real estate information integration and publishing sites on the Internet, such as Fangtianxia and Anjuke. However, these websites usually only provide the release of real estate-related attributes and transaction information, and lack methods to analyze the factors affecting the prices of different real estate projects, so they cannot provide analysis of the distribution of housing prices and the endogenous factors of changes. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q30/02G06Q50/16G06K9/62G06F17/18
CPCG06Q30/0206G06Q50/16G06F17/18G06F18/2431
Inventor 卢宾宾胡奕公
Owner WUHAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com