Unlock instant, AI-driven research and patent intelligence for your innovation.

Prediction method of spatial structure evolution trend of ecosystem attribute components

An ecosystem and trend forecasting technology, applied in forecasting, data processing applications, instruments, etc., can solve problems such as difficult effective implementation and large amount of calculation

Active Publication Date: 2022-03-11
NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the technical problem that the existing method is applied to the long-term series of raster data in the process of building a model, which is difficult to effectively implement due to the huge amount of calculation, and provides a prediction of the evolution trend of the spatial structure of the ecosystem attribute components method

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
  • Prediction method of spatial structure evolution trend of ecosystem attribute components
  • Prediction method of spatial structure evolution trend of ecosystem attribute components
  • Prediction method of spatial structure evolution trend of ecosystem attribute components

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0020] Specific implementation mode 1: In this implementation mode, the method for predicting the evolution trend of the spatial structure of the ecosystem attribute components is as follows:

[0021] 1. Obtain time series data of spatial distribution of attribute parameters:

[0022] Determine the start period and end period of the time series data used in the construction of the time evolution prediction model; obtain the vegetation index or ecological parameter grid data of each period within the time range;

[0023] 2. Construct the regression model of spatial distribution trend of attribute parameters:

[0024] For the time series data described in step 1, use each grid of raster data as a unit to construct a trend regression model with time as an independent variable and vegetation index or ecological parameters as a dependent variable (the model is as follows), and the trend regression model is obtained The parameter raster data;

[0025]

[0026]

[0027] Among...

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 method for predicting the evolution trend of the spatial structure of the ecosystem attribute components relates to a method for predicting the time evolution trend of the spatial structure of the ecosystem attribute components. The present invention aims to solve the technical problem that it is difficult to effectively implement the long-time series grid data due to the huge calculation amount in the process of building the model. The method is as follows: 1. Obtain time series data of spatial distribution of attribute parameters; 2. Construct regression model of spatial distribution trend of attribute parameters; 3. Predict numerical calculation of spatial distribution trend of attribute parameters. The present invention proposes a method for predicting the temporal evolution trend of the spatial structure of the internal attribute components of an ecosystem, which performs a trend regression model fitting with a grid as a unit for the long-term sequence vegetation index or ecological parameter spatial distribution grid data, thereby Obtain the prediction data of spatial structure and time evolution of ecosystem attribute components at a certain time in the future. The invention belongs to the field of ecosystem attribute structure description.

Description

technical field [0001] The invention relates to a method for predicting the time evolution trend of the spatial structure of the ecological system attribute components. Background technique [0002] The temporal evolution of spatial features is one of the most important characteristics of ecosystems. Quantitative prediction of its temporal evolution trends can control the direction and magnitude of future ecosystem changes, thereby providing a solid scientific basis for ecosystem management. At present, most of the ecosystem evolution predictions use the whole ecosystem or the internal patch as a unit to predict the temporal evolution trend of the ecosystem. However, this method is difficult to accurately grasp the temporal variation of the internal details of the ecosystem. The spatio-temporal geographically weighted regression method can obtain the time evolution prediction data of the spatial distribution of ecological parameters in the ecosystem through the spatial regre...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26
Inventor 侯光雷陈子琦刘兆礼赵文斌
Owner NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com