Applied GIS in regional development

Title of course: Applied GIS in regional development

Code: TTGML6517_EN

ECTS Credit points: 3

 

Type of teaching, contact hours

- lecture: 1 hours/week

- practice: 2 hours/week

- laboratory: -

Evaluation: exam

 

Workload (estimated), divided into contact hours:

- lecture: 14 hours

- practice: 28 hours

- laboratory: -

- home assignment: -

- preparation for the exam: 16 hours

Total: 30 hours

Year, semester: 2nd year, 3rd semester

Its prerequisite(s): -

Further courses built on it: -

 

Topics of course

The aim of the course is to enable students to learn and apply the geospatial methods they may encounter in professional activities related to spatial planning at different spatial scales, and to use ArcGIS and Quantum GIS software in a problem-oriented and targeted way. The course will cover the following topics: review of the ArcGIS software, practice of basic operations, use of vector-based, raster-based or hybrid data models, vectorisation, rasterisation, data and accuracy loss; review of the Quantum GIS software, practice of basic operations - spatial relationships of geometric objects (adjacency), point, line, polygon topology; geospatial solutions to micro-scale local problems - data browsing methods, scale dependency, generalisation; geospatial solutions to micro-scale local problems - review, characterisation and acquisition of basic maps at plot and household level (town and country planning, regulatory plans, Google Earth, Bing, Google Street View, Openstreetmap); geospatial solutions to micro-level local problems - steps of processing map and geospatial sources, georeferencing, projection transformations; geospatial solutions to micro-level local problems - vectorisation (overview of the problem domain), corrections in the vector file, related operations in the attribute table; geospatial solutions to micro-scale local problems - geospatial calculations and analysis (zone generation, hot spot analysis, nearest neighbour index calculation, quadrat analysis); geospatial solutions to micro-scale local problems - thematic mapping and publication of results, use of Google Earth for publication; geospatial solutions to meso-scale (municipal and small spatial scale) problems - GADM, Corine Land Cover, Urban Atlas, review of WMS sources and other free geoinformatics databases; geospatial solutions to a problem at the field level (municipal or small spatial scale) - corrections in the vector file, related operations in the attribute table; geospatial solutions to problems at field level (municipal or small spatial level) - steps for processing map and geospatial data sources, geospatial analysis (area calculation, grid network application), thematic map production, publication; geospatial problem solving at macro level (network of settlements, county level) - obtaining census and other statistical data sources and their attribute tabulation, transformation; geospatial problem solving at macro level (network of settlements, county level) - using Network Analyst, combined use of line and polygonal functions, geoprocessing, publication of thematic maps.

Literature

  • ttps://desktop.arcgis.com/en/arcmap/latest/tools/spatial-statistics-toolbox/cluster-andoutlier-analysis-anselin-local-moran-s.htm 
  • Kitchin, R. - Thrift, N. (eds.) (2009): International Encyclopedia of Human Geography. Oxford: Elsevier Science. Volume 2 (ISBN: 978-0-08-044911-1)

Requirements:

- for a signature

Attendance at lectures is recommended, but not compulsory.

- for a grade

The course ends in a writing examination. The minimum requirement for the test respectively is 50%. Based on the score of the test, the grade for the test is given according to the following table:

 

Score  Grade
0-49 fail    (1)
50-64 pass  (2)
65-74 satisfactory    (3)
75-85 good    (4)
86-100 excellent (5)

 

If the score of any test is below 50, students can take a retake test in conformity with the EDUCATION AND EXAMINATION RULES AND REGULATIONS.

Person responsible for course: Dr. János Pénzes, PhD, Associate Professor

Lecturer: Dr. Zoltán Krisztián Túri, PhD, Assistant Professor

Last update: 2024. 02. 06. 13:28