RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 15, ES4004, doi:10.2205/2015ES000559, 2015

Article Map

• Abstract
• Introduction
• General Principles of the Implemented DMA Algorithms
  • Fuzzy Comparisons
  • Kolmogorov Mean
  • Geodata Clustering Algorithms
• Operational Scheme of the Software Package
  • Geoprocessing Services
  • Server and Client Interactions
• Means of Implementation
  • Features of Client Application Structure
  • Application Initialization
  • Layer Management Tool
  • Implementation of Geoprocessing Services
  • User Application Interface
  • Main Features of the Application
• Examples of Software Application in Practice
  • Algorithm Operation
  • Calculation Efficiency
• Conclusions
• Acknowledgment
• References

• Figure 1. Plot of dependence $n(a,b)$ on the parameter $b$ and fixed $a=0$.
• Figure 2. Scheme of interaction between the software components.
• Figure 3. Scheme of client and server interaction.
• Figure 4. Dynamically generated list of geodata on Earth sciences (screenshot)...
• Figure 5. Homepage of user application (screenshot).
• Figure 6. Changing the base map (screenshot).
• Figure 7. Available algorithms (screenshot).
• Figure 8. Layer legend display (screenshot).
• Figure 9. Entering input parameters for the algorithm "Rodin-2": geodata...
• Figure 10. Epicenters of the earthquakes on the territory of the Caucasus...
• Figure 11. Results of the DPS algorithm application to the earthquake epicenters...
• Figure 12. The epicenters of earthquakes in California (screenshot).
• Figure 13. Results of the "Rodin-2" application to earthquake epicenters...

• Table 1.

 
Citation: Nikolov B. P., J. I. Zharkikh, A. A. Soloviev, R. I. Krasnoperov, S. M. Agayan (2015), Integration of data mining methods for Earth science data analysis in GIS environment, Russ. J. Earth Sci., 15, ES4004, doi:10.2205/2015ES000559.
 

Copyright 2015 by the Geophysical Center RAS.