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SBP2008 GIS VE PLANNING 2+2+0 ECTS:5
Year / Semester Second Year / Spring Semester
Level of CourseFirst Cycle
StatusCompulsory
DepartmentURBAN AND REGIONAL PLANNING
Prerequisites and co-requisites None
Mode of DeliveryFace to face, Group study
Contact hours14 weeks - 2 hours of lectures and 2 hours of practicals per week
LecturerASSOC. PROF. DR. Ali İhsan KADIOĞULLARI
Co-Lecturer
Language of instruction Turkish
Professional practise ( internship )None
 
Objectives of the Course
The objectives of this course include teaching the theoretical background of GIS and in this context the acquisition of the basic practical knowledge of organizing the planning related spatial data obtained from different resources in an information system with a geographical database perspective; geographic and attribute data analysis and generating the maps that support the decision making process in planning by use of GIS.
 

Learning Outcomes

CTPO

TOA

Upon successful completion of the course, the students will be able to :

LO - 1 :

Learn basic theoretical background of GIS.

1,2,3,4,5,7,9,10,12,13,15,16,17,18,19,20,21

1,3,4

LO - 2 :

Organize geographical and attribute data obtained from different resources in an information system context.

1,3,4,7,8,9,10,12,13,14,15,16,17,18,19,20,21

1,3,4

LO - 3 :

Carry out analyses related to any kind of planning problem by utilizing the data that organized in a GIS environment.

1,3,4,5,7,9,10,12,13,15,16,17,18,19,20,21

1,3,4

LO - 4 :

Generate the input that will support the decision making process in planning by synthesis maps in GIS.

1,3,4,5,7,9,10,12,13,15,16,17,18,19,20,21

1,3,4

CTPO : Contribution to programme outcomes, TOA : Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 

Contents of the Course

Theoretical background of Geographical Information Systems (GIS), fields that uses GIS, sample GIS applications. GIS data sources and related technologies, GIS data models and their conversions, vector data models in GIS (topological vs. spaghetti), geographical database, data quality, consistency and integrity, coordinate definitions for geographical data and map information, data analysis by means of basic GIS functions, planning related analyses, 3D GIS, presentation of GIS data and preparation for printing.

 

Course Syllabus

 Week

Subject

Related Notes / Files

 Week 1

Introducing the course content, sources, and discussion of expectations

 Week 2

THEORY: Introduction to GIS: definitions, components, fields that uses GIS, sample GIS applications PRACTICE: General window and menu structure, GIS data directory structure, filing system, visualization of geographical and attribute data that is already created in GIS, simple selection queries by means of one type of data on another

 Week 3

THEORY: Map, geoid, datum, projections and coordinate systems and the importance and requirement of correct datum and coordinate information in GIS PRACTICE: Creation of data tables/layers with correct datum and coordinate information, attribute (non graphic) data entry, geographic database creation, data organization (geographic and attribute data)

 Week 4

THEORY: Explanation of concepts concerning geographical data ve GIS data models: Raster and vector data PRACTICE: Registration of raster maps with known coordinates and with a vector map, digitization, conversion between vector and raster data

 Week 5

THEORY: GIS data source and introduction of GIS related technologies (CAD, UA, GPS,?) PRACTICE: Visualization of data obtained through GIS data sources, their transformation, and data differences between original and transformed data

 Week 6

THEORY: Basic GIS functions/analyses PRACTICE: Basic GIS functions exercises, thematic mapping, updating attribute data, point creation, update of attribute data through geographic functions, graphics

 Week 7

THEORY: Vector data models in GIS: Topological vs. spaghetti models PRACTICE: Comparison of topological and spaghetti models, topological errors and their corrections (object editing,?)

 Week 8

Revision of the previous theoretical and practical subjects, exercises

 Week 9

Midterm exam

 Week 10

THEORY: Geographical and attribute data quality, consistency and integrity, relating GIS with DBMS and data update through this system, establishing and using hyperlinks in GIS PRACTICE: Examining the errors, corrections, attribute data update and computations, relating GIS with DBMS software (.mdb), establishing and using hyperlinks

 Week 11

THEORY: Planning related queries, analyses, syntheses, overlays (threshold analysis, suitability analysis, network analysis,?) using GIS PRACTICE: Practicing the lecture content

 Week 12

THEORY: 3D GIS PRACTICE: Creation of point elevation data and DEM, slope, aspect, volume and cross sections, point and area visibility analyses

 Week 13

PRACTICE: Presentation in GIS environment: Layout preparation, graphics, and other cartographical arrangements

 Week 14

Revision of the previous theoretical and practical subjects, exercises

 Week 15

Revision of the previous theoretical and practical subjects, exercises

 Week 16

Final exam

 

Textbook / Material

1Tecim, V. (2008) Coğrafi Bilgi Sistemleri: Harita Tabanlı Bilgi Yönetimi, Ankara.

2Yomralıoğlu T. 2002; Cografi Bilgi Sistemleri: Temel Kavramlar ve Uygulamalar, Trabzon: İber Ofset

 

Recommended Reading

1Aronoff, S., 1991, Geographic Information Systems: A Management Perspective, Ottawa: WDL Publications

 

Method of Assessment

Type of assessment

Week No

Date

Duration (hours)

Weight (%)

Mid-term exam

9

2016

4

25

Practice

3
5
7
10
12
14

26/02/2016
11/03/2016
25/03/2016
15/04/2016
29/04/2016
13/05/2016

12

10

Homework/Assignment/Term-paper

3
5
7
10
12
14

26/02/2016
11/03/2016
25/03/2016
15/04/2016
29/04/2016
13/05/2016

12

15

End-of-term exam

16

2016

4

50

 

Student Work Load and its Distribution

Type of work

Duration (hours pw)

No of weeks / Number of activity

Hours in total per term

Lectures (face to face teaching)

4

12

48

Own (personal) studies outside class

3

14

42

Own study for first mid-term exam

4

2

8

Mid-term exam

4

1

4

Practice

2

14

28

Homework

2

6

12

Own study for final exam

4

1

4

End-of-term exam

4

1

4

Total work load

150