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

Data scientific visualization-oriented inverse distance weighting mixed interpolation method

An inverse distance weighted, data-oriented technology, applied in complex mathematical operations and other directions, can solve problems such as low computational efficiency and insufficient computational efficiency and accuracy.

Inactive Publication Date: 2016-09-21
SHANGHAI UNIV
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This algorithm overcomes the problem of high computational efficiency in the traditional interpolation algorithm, the accuracy is not enough, and the accuracy is not high enough.

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
  • Data scientific visualization-oriented inverse distance weighting mixed interpolation method
  • Data scientific visualization-oriented inverse distance weighting mixed interpolation method
  • Data scientific visualization-oriented inverse distance weighting mixed interpolation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0100] Embodiment one: see figure 1 — Figure 8 , an inverse distance hybrid interpolation method for data science visualization.

Embodiment 2

[0101] Embodiment 2: This inverse distance hybrid interpolation method for data scientific visualization, the specific operation steps are as follows:

[0102] (1) Obtain the required data information

[0103]The data used in this algorithm mainly comes from scientific monitoring data that has been processed. The location of the data is determined by the longitude and latitude, and the intensity value is obtained from the monitoring data values ​​of different types and different time periods provided by the remote sensing data. In the same plane, latitude and longitude can uniquely identify a point, so the longitude and latitude are directly regarded as the coordinates of the point during research. Thus, the data of a certain point can be transformed into three domains for description: the x coordinate represents the latitude, the y coordinate represents the longitude, and the z represents the attribute value.

[0104] (2) Calculate the variation function of the experiment ...

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 discloses a data scientific visualization-oriented inverse distance weighting mixed interpolation method. For advantages and disadvantages of a conventional interpolation method, a new mixed interpolation method is proposed in combination with a parameter estimation point azimuth search method and an improved interpolation point cyclic interpolation mode by mixing an inverse distance weighting interpolation method with a Kriging interpolation method. The data interpolation method comprises the steps of (1), obtaining required data information; (2), calculating an experimental variance function; (3), selecting a proper variance function theoretical model for performing parameter fitting, and determining variance function parameters; (4), determining a participation point search scheme; (5), determining the total number of required interpolation grids and performing interpolation frequency division; and (6), performing cyclic interpolation until an interpolation effect is achieved.

Description

technical field [0001] The invention relates to the field of computer science visualization, in particular to an inverse distance weighted hybrid interpolation method oriented to data science visualization. Background technique [0002] With the development of computer technology, in order to gain a deeper understanding of the data in research, scientific visualization technology came into being. Scientific visualization technology can make data more intuitive, more vivid, and more effective in front of people, which is convenient for people to discover and mine the laws and information among data, and is conducive to more in-depth scientific research. However, the data we often collect is discrete, and the estimation of unknown data is involved in the process of visualization. Therefore, people have conducted research on this aspect, and one of the methods is to use adjacent known spatial data to estimate and guess unknown spatial data values, that is, spatial interpolatio...

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): G06F17/15
CPCG06F17/15
Inventor 胡小梅王瑜斌
Owner SHANGHAI 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