| Forest & Landscape | |||||||||||||||
| Earliest Possible Year | BSc. 2 year to MSc. 1 year | ||||||||||||||
| Duration | One block | ||||||||||||||
| Credits | 7.5 (ECTS) | ||||||||||||||
| Course Level | Joint BSc and MSc | ||||||||||||||
| Examination | Final Examination written examination Written Exam in Lecturehall All aids allowed Description of Examination: 2 hour examination consisting of written responses to short, factual questions referring to the text of all exercises and the obligatory course texts. Weight: 100% on the written exam 7-point scale, internal examiner Dates of Exam: 16 April 2010 | ||||||||||||||
| Requirement For Attending Exam | Exercise reports 3, 6 and 7 have to be handed in. Further the project work has to be displayed and accepted as a public poster. | ||||||||||||||
| Organisation of Teaching | Formal lectures, hands-on exercises and project work. | ||||||||||||||
| Block Placement | Block 3 Week Structure: C Exercises and project work in Center for Graphical Data handling (CGD) | ||||||||||||||
| Teaching Language | English | ||||||||||||||
| Optional Prerequisites | Comprehensive knowledge of IT including good practical skills. Comparable to the level of the course 'Mathematics and data handling' of the Natural resources bachelor education or the like. | ||||||||||||||
| Restrictions | 100 | ||||||||||||||
| Course Contents | |||||||||||||||
| The course comprises: Introduction to elementary concepts Data acquisition and automation Danish data sources - how to find and acquire data Data formats - how data are converted, transformed and imported Systems for storage and proliferation of geo data The vector data model (discrete objects) Handling attribute data The raster data model (continuous phenomena) Assessment of spatial inaccuracy Digital elevation models Digital cartography Internet based GIS | |||||||||||||||
| Teaching And Learning Methods | |||||||||||||||
| The course is constituted by lectures, exercises and project work. The practical exercises and the project work are comparable in time expenditure. It is recommended that the projects are conjoined with activities related to other courses and project works. | |||||||||||||||
| Learning Outcome | |||||||||||||||
| The course will give the student knowledge of the basic concepts being used when acquiring, automating, handling, analysing and presenting geographical information - including digital maps. This way the student will obtain the needed theoretic as well as practical skills and competences. He/she will be enabled to use the achieved theoretic knowledge when evaluation the quality of available data and produced results. Further the student will be enabled to communicated with other professionals of the geodata- and GIS-community. Knowledge . Describe characteristics of different data types of geographical data (rasters, polygons, lines, points) . Describe and discuss different methods for data captue and automation . Describe characteristics of method for overlay analysis (e.g. I relation to polygons) . Describe the rational behind attribute handling in overlay analysis . Classify methods used in digital cartographic communication . Justify the use of various thematic and topographic data sets for given purposes . Describe the procedures required in image rectification (e.g. aerial photos) Skills . To be able to produce composite maps from multiple sets of digital map sources . To be able to produce maps according to norms for cartographic primitives (North arrow, scale bar etc.) and aesthetics . To be able to find and select data required for a given task - and to argue for the choices made . To be able to find and select the analytical methods required for a given task - and to argue for the choices made . To decide which type of geographical data (raster, point, line, polygon) to apply in a given context, to a given phenomenon . To perform spatial analysis (including buffer-, overlay and mapalgebra techniques) and to interpret the results Competences . To conduct and perform data automation, data retrieval, data analysis and cartographic presentation of results in relation to fields of knowledge relevant to life sciences . To apply maps and spatial analytical results to articles, thesis's, project report etc. produced after attending the course | |||||||||||||||
| Course Litterature | |||||||||||||||
| 1. Heywood, Cornelius and Carver. 2006. An introduction to Geographical information systems (Third edition). Pearson/Prentice Hall. ISBN-13: 978-0-13-129317-5. Can be purchased from the LIFE book store. EMBEDDED CASE STUDIES ARE NOT OBLIGATORY READING. 2. All exercise notes ARE OBLIGATORY READING 3. Balstrøm, Jacobi og Bodum. 2006. Bogen om GIS og Geodata. Forlaget GIS & Geodata (www.gis-geodata.dk). ISBN 87-991446-0-3. 4. ESRI. What is ArcGIS? On-line documentation. 5. ESRI. Using ArcGIS Spatial Analyst . On-line documentation. 6. Danish meta data on-line: http://www.geodata-info.dk/ | |||||||||||||||
| Course Coordinator | |||||||||||||||
| Hans Skov-Petersen, hsp@life.ku.dk, Forest & Landscape Denmark/Urban and landscape studies, Phone: 35331816 Patrik Karlsson Nyed, pakn@life.ku.dk, Forest & Landscape Denmark/Urban and landscape studies, Phone: 35331832 | |||||||||||||||
| Study Board | |||||||||||||||
| Study Committee NSN | |||||||||||||||
| Course Scope | |||||||||||||||
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