The Spatial Variation of Predictive Value for Date Production in Thi Qar Governorate, Iraq

Authors

  • Hanan Yahya Muhammad Aliraqia University, College of Arts, Department of Geography, Iraq.
  • Munaf Muhammad Zrzor University of Baghdad - Ibn Rushd College of Education for Humanities, Department of Geography, Iraq
  • Abdul Amir Juma Mahdi Aliraqia University, College of Arts, Iraq.
  • Mahmoud Majeed Ibrahim Aliraqia University, College of Arts, Iraq
  • Qudos Osama Qawam University of Baghdad, College of Arts, Department of Geography, Iraq

Keywords:

Dates, Regression Coefficient, Date, Thi Qar, Production.

Abstract

Geography studies the phenomena present on the Earth's surface, describing patterns and analyzing the processes that have created them. It aims to make more accurate and positive decisions supported by data databases, scientific models, applied studies, and analytical models. Recently, artificial intelligence (AI) has gained significant attention, especially in the academic field, particularly in geography and its connection to geographic information systems and remote sensing. This interest stems from the integration of geography and artificial intelligence (Geo AI), which provides various new methods for addressing a variety of problems through systematic modeling to monitor and predict geographic reality.

Downloads

Published

2024-02-01

How to Cite

Hanan Yahya Muhammad, Munaf Muhammad Zrzor, Abdul Amir Juma Mahdi, Mahmoud Majeed Ibrahim, & Qudos Osama Qawam. (2024). The Spatial Variation of Predictive Value for Date Production in Thi Qar Governorate, Iraq. Kurdish Studies, 12(2), 3045–3054. Retrieved from https://kurdishstudies.net/menu-script/index.php/KS/article/view/2405

Issue

Vol. 12 No. 2 (2024): Kurdish Studies

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.