Course aims:

Spatial Analysis is a module in the field of quantitative geography and geocomputation. The module aims to deepen the student knowledge in quantitative spatial data analysis methods and their application to real data.
Have understood what spatial analysis is, what methods can be used to perform spatial analysis and how some of these methods should be applied.
Have practical experience in applying spatial analysis methods in addressing geographical issues in the real world using special software.

Course Entry Requirements:

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Course contents:

An introduction to spatial data analysis; Global and local interpolation method; Creating DEM from Elevation points, contours and Topographic map; Spatial analysis for GNSS planning; The applications of GIS technology in tourism; Analysis of slope for buildings; Analysis of aspect for buildings; Horizontal and Vertical fragmentation, special indicators for geomorphology; The principles of geostatistical analysis; Data, indicators, maps; Maps and spatial information technologies, Environmental maps and data online.

Teaching methods:

Lecture, Conversation, Examples

Learning outcomes:

C2. Coordination, within the local and central administrations, of projects and programs aimed at the management of buildings C3. Working in multidisciplinary teams for identifying, analyzing and proposing solutions to solve the dysfunctions occurring at national, regional, county and local level C6. Computer-aided design and use of dedicated software

Learning outcomes verification and assessment criteria:

Final evaluation Oral examination 60% Course check Portfolio - almost 40%

Recommended reading:

Borsan Tudor, Analiza spatiala si cartografie environmentala, Biblioteca Universității „1 Decembrie 1918”,,, Alba Iulia, 2018, 50.
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