Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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Abstract
Date Palm Trees (DPT) are the most growing plants in Iraq and the second source of Iraqi income. Distribution of date palm trees shows a lot about the pattern of DPT over the years which helps local government to know what area needs to grow more DPT. The spatial distributions of DPT locations in Iraq are explored by different methods of spatial point pattern analysis. Many methods for the analysis of point pattern data have been applied in a wide range of scientific fields. Describing the pattern of data can show a lot of details about the data special pattern. Many point pattern techniques have been implemented to describe the pattern however not all of them provide a clear description of the data in the space. Some of them miss some points which lead to an inaccurate pattern. In this study, Different clustering techniques (G, F, K spatial point pattern analysis techniques) are implemented to describe the spatial arrangement of DPT in Iraq. We also present a review of some spatial point pattern analysis techniques. Our results show effective performance in term of special pattern. Based on results of spatial point pattern analysis techniques it can be specified that the trees are evenly spaced or clustered in groups.
How to cite this article:
Bashar S. Al-Dabbagh, Laith Alzubaidi, Reem Ibrahim Hasan and Haider A. Alwzwazy. Using Point Pattern Analysis Techniques to Describe Spatial Arrangement of
Date Palm Trees in Iraq.
DOI: https://doi.org/10.36478/jeasci.2019.4074.4079
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.4074.4079