TY  - JOUR
T1  - Using Point Pattern Analysis Techniques to Describe Spatial Arrangement of
Date Palm Trees in Iraq
AU - Al-Dabbagh, Bashar S. AU - Alzubaidi, Laith AU - Hasan, Reem Ibrahim AU - Alwzwazy, Haider A. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 12
SP  - 4074
EP  - 4079
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.4074.4079
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.4074.4079
KW  - Clustering
KW  -spatial point pattern
KW  -K-function
KW  -palm trees
KW  -performance
KW  -spatial point
AB  - 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.
ER  -