Aim
The aim of the course is to get basic knowledge of concepts and methodologies within management and analysis of geographical data with geographic information systems (GIS).

Knowledge and understanding
For a passing grade the student must

• be able to describe different conceptual models for spatial phenomena,

• be able to describe different data models for digital geographical data (raster and vector), and how these are stored in computers,

• be able to explain how map projections are constructed and how they can be used,

• be able to describe fundamental cartographic methodology,

• be able to understand and apply basic methods for spatial analysis,

• be able to explain basic theory on spatial interpolation, and

• be able to describe quality measures for spatial data and error of propagation in spatial analysis.

Skills and abilities
For a passing grade the student must

• be able to organise and manage geographical data in computers

• be able to, independently and within groups, solve predefined problems using basic analyses of geographical data, mainly in vector format, with standard GIS software, and

• be able to present results and work flow from data capture and analysis of geographical data for specialists and laymen, with maps, graphics and simple text.

Judgement and approach
For a passing grade the student must

• show awareness of, and confidence in, using geographic information and analysis within surveying, and

• be able to critically assess geographical data and have achieved a critical attitude towards analysis results.

Contents
Lectures cover the basic theory of cartography, spatial phenomena, geographical data and analysis as well as modelling and storage of geographical data. Basic geostatistics and quality aspects represented by error propagation theory are also treated. Through calculation exercisis and a number of practical computer based exercisis the students learn how to structure geographical data, perform basic geographical analysis and finally present geographical information. He/she will also get an overview of geographical data bases used by governmental and municipal authorities, the main usage of these data bases and how their quality can be described. In an extensive application exercise the students collect and compile data from different national and regional data distributors, compile the data and execute analysis relevant for surveying purposes.

Literature
Harrie L. (red.): ”Geografisk informationsbehandling - teori, metoder och tillämpningar.” Formas, Stockholm. 2008. ISBN: 978-9-540-6015-3.
”Övningskompendie i GIS för Geografisk informationsteknik, EXTA45” och ”How to....in ArcGIS”. 2008.
Harrie, L.: ”Statistical aspects of spatial interpolation”.Institutionen för naturgeografi och ekosystemanalys, Lunds universitet. 2006.

Code: 0111. Name: GIT Theory.
Higher education credits: 6. Grading scale: TH. Assessment: Result constitute the total course grade. Contents: Written examination in which knowledge of the basic theory of GIS, geostatistics, geodesy and quality aspect of geographical data is evaluated, as well as the students’ abilities to combine the theoretical base with practical problem solution.

Code: 0211. Name: GIT Exercises.
Higher education credits: 6. Grading scale: UG. Assessment: Passed compulsory practical exercises and assignments apart from application tasks. Contents: Practical exercises and assignments in GIS and literature databases.