Numerical data classification in the geology of space objects by SPSS: A New Approach in Meteorite Weathering Analysis
This research examines the modeling and classification of numerical data in geology using SPSS software and focuses on the analysis of meteorite weathering. Using advanced statistical methods, data collected from meteorites were studied and patterns of relationships between Earth properties and their effects on meteorites were identified. The results show that these meteorite samples have not been affected by severe weathering and are suitable for research. Meteorites, when they hit the Earth's surface, cause long-term changes in geological structures and the distribution of natural resources. This study provides evidence for the applications of data modeling in understanding geological processes and natural resource management, and offers new solutions for researchers and decision-makers in the relevant fields. These findings can help improve risk management strategies related to meteorite impacts and environmental protection.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-13
- DOI
- https://doi.org/10.5281/zenodo.17922473
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00