Published August 4, 2023
| Version v1
Journal article
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The Dance of Demographics: Exploring Area-Population Relationships
- 1. Student, Alliance University, Bangalore, Karnataka, India
- 2. Associate Professor, Ashoka Women's Engineering College, Kurnool, Andhra Pradesh, India
- 3. Assistant Professor,Ashoka Women's Engineering College, Kurnool, Andhra Pradesh, India
- 4. Professor ,Ashoka Women's Engineering College, Kurnool, Andhra Pradesh, India
Description
The primary objective of this project is to explore the complex connection between area and population density through the application of data science techniques. By harnessing diverse datasets and employing advanced statistical models, we thoroughly examine the dynamics of density and reveal underlying patterns, emerging trends, and valuable insights. Our analysis sheds light on the intricate interplay between population distribution and geographic dimensions, offering essential information for urban planning, resource allocation, and promoting sustainable development.
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References
- 1. Kao, H. Y., Lagerloef, G. S., Lee, T., Melnichenko, O., Meissner, T., & Hacker, P. (2018). Assessment of aquarius sea surface salinity. Remote Sensing, 10(9), 1341.
- 2. Cosoli, S., & de Vos, S. (2019). Interoperability of direction-finding and beam-forming high-frequency radar systems: An example from the Australian high-frequency ocean radar network. Remote Sensing, 11(3), 291.
- 3. Busch, J. A., Bardaji, R., Ceccaroni, L., Friedrichs, A., Piera, J., Simon, C., ... & Zielinski, O. (2016). Citizen bio-optical observations from coast-and ocean and their compatibility with ocean colour satellite measurements. Remote Sensing, 8(11), 879.
- 4. Jung, M., Ko, W., Choi, Y., & Cho, Y. (2019). Spatial variations in fertility of South Korea: A geographically weighted regression approach. ISPRS International Journal of Geo-Information, 8(6), 262.
- 5. Zhang, Y., Zhang, X., & Fu, M. (2017). Spatial analysis of urban growth and population density: A case study of Beijing, China. ISPRS International Journal of Geo-Information, 6(11), 339.