COURSE UNIT TITLE

: SPATIAL ANALYSIS AND MODELLING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 6004 SPATIAL ANALYSIS AND MODELLING ELECTIVE 2 1 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI GÜL

Offered to

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

Course Objective

The goal of this course is to understand, review from acknowledged experts and discuss current problems and prospects in the integration of and interface between spatial analysis and GIS. The course includes exercises on spatial point process modeling in a GIS environment and urban analysis in a GIS environment.

Learning Outcomes of the Course Unit

1   Understand a number of spatial analysis and modeling
2   To gain insight into the technical underpinnings of spatial analysis for use on the job, complement on-going research in statistics and modeling
3   Give essential background knowledge on methodological, theoretical, and policy dimensions of spatial analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 GIS and Spatial Analysis: Introduction
2 Statistical Spatial Analysis in GIS
3 Designing Spatial Data Analysis Modules for GIS
4 Spatial Analysis and GIS
5 Two Exploratory Space-Time-Attribute Pattern Analysers Relevant to GIS
6 Spatial Dependence and Heterogeneity and Proximal Databases
7 Aerial Interpolation and Types of Data
8 Mid-Term Exam
9 Spatial Point Process Modeling in a GIS Environment
10 Object Oriented Spatial Analysis
11 Urban Analysis in a GIS Environment
12 Optimization Modeling in a GIS Framework
13 A Surface Model Approach to Presentation of Population-related Social Indicators
14 Presentation of Term Projects

Recomended or Required Reading

A. Stewart Fotheringham, Peter Rogerson (1994), Spatial Analysis in GIS, National Center for Geographic Information & Analysis (U.S.)

Planned Learning Activities and Teaching Methods

The course is taught in a lecture with application hours. All students are expected to attend lectures. Presentations of the students take an important role in the lectures.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE MTE * 0.50 + RST * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

- Laboratory reports
- Project report
- Oral presentation
- Written examination

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 30 30
Preparing presentations 1 30 30
Preparing assignments 1 50 50
Midterm 1 3 3
TOTAL WORKLOAD (hours) 197

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.154333344453
LO.245433435354
LO.333544533334