COURSE UNIT TITLE

: LANDSCAPE MODELLING WITH GIS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 6016 LANDSCAPE MODELLING WITH GIS ELECTIVE 1 2 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR EBRU ÇUBUKÇU

Offered to

GEOGRAPHICAL INFORMATION SYSTEMS (ENGLISH)
Geographical Information Systems (Non-Thesis) (English)
GEOGRAPHIC INFORMATION SYSTEMS (ENGLISH)
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM) (ENGLISH)

Course Objective

The goal of this class is to explore various approaches to modeling landscape pattern and change. The focus is on understanding, describing, and predicting the two-dimensional patterns of land-use and landcover,
and their changes, that are observable in map-based depictions of landscapes. The course will necessarily move between social and ecological processes and applications of the models, always with a geographical focus.
During the course we will read about different modeling approaches, discuss applications of the models, and work on 7-8 exercises. We will explore GIS-based land modeling approaches using a number of statistical and
computational techniques. Students completing the course will be able to evaluate the trade-offs associated with use of a particular modeling approach within a given situation, and to implement (at least minimally) several of
the approaches discussed

Learning Outcomes of the Course Unit

1   Understand the limitations and differences between suitability modeling approaches
2   Create predictive models using appropriate techniques with spatial data
3   Analyze spatial patterns and dependence
4   Derive landscape and terrain variables as inputs for modeling

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction Geographical Information Systems GIS for Landscape Modeling
2 Modeling and GIS Preliminaries Definitions and scope Lab Exercise with GIS Software
3 Terrain and Habitat Modeling Terrain Modeling Habitat Modeling Lab Exercise with GIS Software
4 Land Use Modeling Land Use and Cover Modeling Land Use and Spatial Validation Lab Exercise with GIS Software
5 Multi-criteria Evaluation and Land Allocation Multi-criteria Evaluation Land Allocation Lab Exercise with GIS Software
6 Introducing Simulation
7 Markov-based Models of Change Markov Models Cellular Automata
8 Markov-based Models of Change Cellular Models Agent-based Models
9 Mid-term Examination
10 Application in The Forest Landscape
11 Application in The Agricultural Landscape
12 Application in The Urban Landscape
13 Application in Energy, Industry and Infrastructure
14 Presentation of Term Projects

Recomended or Required Reading

There is no text. Required readings are assigned from the literature. All readings are (or will be) available for download from the Lecturer s web site for this course.

Planned Learning Activities and Teaching Methods

Projects and presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 PRJ PROJECT
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.40 + PRJ * 0.30


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 10 10
Preparing assignments 3 10 30
Design Project 2 15 30
Midterm 1 10 10
TOTAL WORKLOAD (hours) 164

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.132422355243
LO.243453232543
LO.342231555313
LO.432323113134