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A real estate automatic valuation method based on raster data

A raster data and real estate technology, applied in the field of real estate automatic valuation, can solve problems such as unclear logic, multi-storage resources and access speed, research accuracy and storage space contradictions, etc., achieve simple data structure, clear data structure, and solve grid Effects of grid storage barriers

Active Publication Date: 2021-07-20
青岛禧泰房地产数据有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The common technical route does not involve a clear concept of business data layer, or mixes business data in the basic data of the grid, which will lead to unclear logic and reduced efficiency in different data application scenarios
[0004] When using raster technology, since the resolution of the raster will increase with the reduction of the raster, it will take up more storage resources and access speed
However, due to the significant urban concentration effect of real estate data, it is difficult to unify the grid size in urban built-up areas and urban suburbs, and it is easy to cause a contradiction between research accuracy and storage space

Method used

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  • A real estate automatic valuation method based on raster data
  • A real estate automatic valuation method based on raster data
  • A real estate automatic valuation method based on raster data

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Experimental program
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Embodiment 1

[0039] Embodiment 1, this embodiment discloses a real estate automatic valuation method based on raster data, including the following steps:

[0040] (1) Generate a grid within the study area;

[0041] (11) Determine the maximum and minimum values ​​of the longitude and latitude of the boundary of the study area;

[0042] (12) Determine the size and shape of the grid;

[0043] (13) Based on the maximum value and the minimum value of longitude and latitude determined in step (11), a quadrilateral continuous grid is generated, and the grids intersecting the research area and the boundary of the research area are valid grids;

[0044] (2) Establish a business data layer in each grid

[0045] Include the standard price P of each building type in the grid i , where P refers to the price, i represents the type of building, including multi-storey, small high-rise, high-rise and villa; the adjustment coefficient β of each parameter ij , where β represents the adjustment coefficien...

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Abstract

The invention discloses a real estate automatic valuation method based on grid data, which includes the following steps: (1) generating grids in the research area; (2) establishing a business data layer in each grid; (3) according to grid data Scanning grid clustering and merging are performed on the spatial distribution of real estate; (4) Real estate automatic valuation. The grid data-based automatic real estate valuation method disclosed by the invention solves the problem of storing images and spatial attributes in the form of grids. The business scene data of the grid is associated with the grid ID, and the data structure is simple. The storage form of raster data facilitates the use of spatial analysis libraries for spatial econometric analysis.

Description

technical field [0001] The invention belongs to the field of real estate automatic valuation, in particular to a grid data-based real estate automatic valuation method in the field. Background technique [0002] Real estate information is rich, and its storage methods are mostly vector data (geographical boundary coordinates), or in the form of administrative districts (county-level, township-level administrative districts). This method will lead to a relatively complex data structure. When establishing a spatial relationship, it is necessary to complete the attribute association through spatial distance calculation; it is not conducive to advanced spatial statistical analysis such as continuous surface analysis; it is difficult to support data applications on a microscopic scale. [0003] There are many application scenarios of real estate data. Raster data not only records its basic information (location coordinates, satellite images, etc.), but is also closely related to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06Q50/16
CPCG06Q30/0283G06Q50/16
Inventor 谢朝刚
Owner 青岛禧泰房地产数据有限公司
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