# كلية التربية الأساسية

###### Erasmus+ ICM Project between University of Glasgow and University of Dohuk – July 2019

The Environmental Impact of Conflict and Landmine Clearance in Kurdistan region – Iraq

By Dr Sizar Abid Mohammed

First day at 12 July I met with Professor Marian Scott in School of Mathematics and Statistics in her office we discussed our case study in Duhok on the subject of landmine and electric generator and how we can study these cases and come up with publication and about R Statistics program. She gave me some topics about using R as well as a book about an introduction to using R.

Professor Marian Scott in School of Mathematics and Statistics

She also arranged for a meeting for me on 16, and 18 July with Professor Janine
Illian and Dr. Ben Swallow. The meetings that i had with Janine and Ben were
very good and fruitful and project. They gave me some statistics topic and chapter
to study to gain more information about point process theory and models, as well
as a few good books about statistics program R resources. and we had a discussion
about Landmine data and Data we would require:

Modelling approach:
 Treat landmine locations as spatial point pattern
 Model will model the locations of removed landmines to predict landmine
locations (intensities) in uncleared fields
 Model with a spatial point process model (most likely using the software
package inlabru in R)
 Initially we will fit a simple (non-spatial) regression model with a Poisson
outcome (counts in cells) to a single mine field. We will later extend this to a
proper spatial model for all mine fields.
Data we would need:
 Spatial boundaries of the mine fields – both cleared and not cleared
 Locations of where the individual mines were found and cleared. This would
be GPS locations for example.
 Other explanatory variables/covariates. For example: Distance from nearest
 Any other things you think may be important for example vegetation, soil
type, whether the field is agricultural….
Can you ask your contacts what they think would be important as an explanatory
variable? this will be ongoing discussion with you and the organization.

Professor Janine Illian  and Dr. Ben Swallow School of Mathematics and Statistics