Application of GA-SVM for County Ecological Security Prediction of Land Resources: Taking Guanzhong Urban Agglomeration as a Case
Abstract
References
Index Terms
- Application of GA-SVM for County Ecological Security Prediction of Land Resources: Taking Guanzhong Urban Agglomeration as a Case
Recommendations
Predict Coordinated Development Degree of County Eco-Environment System Using GA-SVM: A Case Study of Guanzhong Urban Agglomeration
This article describes how economic development has had a significant impact on the environment. County eco-environment coordinated development has contributed to regional coordinated development in China. A support vector machine SVM model was ...
The big data analysis of land use evolution and its ecological security responses in Silver Beach of China by the clustering of spatial patterns
Silver Beach is a typical sandy plain coast located in the southeastern city of Beihai in Guangxi province, China. Because of its obvious land-use changes and ecosystem deterioration in recent decades, a sustainable development management and ...
Geographic Systems and Ecological Security of the Changbai Mountains: An EOS Approach of Study
KAM '11: Proceedings of the 2011 Fourth International Symposium on Knowledge Acquisition and ModelingData based on the satellites measured reflected or emitted energy can provide valuable information on the spatial evolution of geographical system and ecological security. Information regarding NDVI, land use and land cover change, and classification ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 53Total Downloads
- Downloads (Last 12 months)7
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in