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Consider factors for establishing a base map to which to tie your research data. Introduce fundamentals of database organization for GIS.


Offer suggestions for data collection that can be easily incorporated into a GIS, including the use of global positioning system GPS technology. Discuss options for importing and exporting data between a GIS database and other sources. Expand on the discussion of GIS data outputs, visualization, and statistics. Develop GIS-compatible database tables. Import and export data between GIS and other software programs, including statistical software, spreadsheets, and others.

Develop a means for geocoding or spatially linking nonspatial data into a spatial structure for GIS. Choose the best output formats for communicating research results. Looks like you do not have access to this content. Chapters View all chapters View fewer chapters.

Methods Map Geographic information systems.

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During the semester students will carry out several in-depth exercises. Results from these exercises will influence the final grade for this course. The course pursues the master subject Geog Course participants that do not have this basis should also follow the lectures, read the compulsory readings and do the Geog exercises to be familiar with GIS software package ArcGIS. The content of the course will be adapted to the candidates? For example, the course content could be particular GIS operations for data capture or analysis, or general GIS operations applied to a particular theme such as armed conflicts, social vulnerability assessments.

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Suggestions for required course readings from the candidate and supervisor s are welcome. The candidate must write a paper and it is optional whether the language is Norwegian or English. Satellite geodesy GPS , system description and measuring methodes. Total stations, measuring methodes.

Calculations of coordinates and heights. Mathematical statistic and estimation. The Norwegian Geodata standard. Photogrammetry: Definition, basic concepts. Photogrammetric imagery, image characteristics, image measuring, stereoscopic vision and measuring.

Introduction to perspective transformation and reconstruction of stereoscopic models. Map compilation. Remote sensing: Radiation theory, sensors, satellites. Classification methods.

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  • Learning about basic elements in geographic information systems GIS. Data structures, acquisition, handling, analysis and presentation og geographical information.

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    Practical examples in exercises. Spatial data models, topology, network operations, cartographic generalization, information theory and other elements that are behind a GIS. Acquisition, storage, presentation and analysis of geodata. The course includes gaussian stochastic fields and statistical methods on spatial variables.