<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This article combines geographic information system (GIS) technology and database technology to analyse agricultural, natural disasters. The article uses a fractional linear regression equation to define the comprehensive intensity grading standard of the disaster-causing factors of torrential rain. At the same time, we use GIS to superimpose the agricultural vulnerability index into the storm disaster risk zoning to obtain the degree of agricultural impact under different levels of risk. At the end of the thesis, the model is applied to actual case analysis to verify the effectiveness of the algorithm model.</p>
</abstract>

This article combines geographic information system (GIS) technology and database technology to analyse agricultural, natural disasters. The article uses a fractional linear regression equation to define the comprehensive intensity grading standard of the disaster-causing factors of torrential rain. At the same time, we use GIS to superimpose the agricultural vulnerability index into the storm disaster risk zoning to obtain the degree of agricultural impact under different levels of risk. At the end of the thesis, the model is applied to actual case analysis to verify the effectiveness of the algorithm model.

Fractional Linear Regression Equation in Agricultural Disaster Assessment Model Based on Geographic Information System Analysis Technology

Information System Department, Faculty of Computing and Information Technology

Department of Accounting and Finace, Faculty of Administrative Sciences

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This article combines geographic information system (GIS) technology and database technology to analyse agricultural, natural disasters. The article uses a...

Fractional Linear Regression Equation in Agricultural Disaster Assessment Model Based on Geographic Information System Analysis Technology

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 275 - 284

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00096

Schlüsselwörter
Heavy rain, hazard factors, geographic information system, disaster risk, fractional linear regression equation, quantitative evaluation

© 2021 Lihua Wen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fractional Linear Regression Equation in Agricultural Disaster Assessment Model Based on Geographic Information System Analysis Technology

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 275 - 284

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00096

SchlüsselwörterHeavy rain, hazard factors, geographic information system, disaster risk, fractional linear regression equation, quantitative evaluation

© 2021 Lihua Wen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Heavy rain, hazard factors, geographic information system, disaster risk, fractional linear regression equation, quantitative evaluation