Předmět GIS in Human Geography (KSG / EGISG)

Na serveru studentino.cz naleznete nejrůznější studijní materiály: zápisky z přednášek nebo cvičení, vzorové testy, seminární práce, domácí úkoly a další z předmětu KSG / EGISG - GIS in Human Geography, Přírodovědecká fakulta, Ostravská univerzita v Ostravě (OU).

Materiál	Typ	Datum	Počet stažení

Obsah

Lectures:1. Geodata and statistical data sources in Czechia, statistical data in GIS2. Database Fundamentals (Relational Basics, Queries, Joins), Coordinate Systems and Projections. Geodatabases. Handling Relationships.3. Introduction to SQL4. Methods of thematic mapping and data classification5. Composition of thematic maps6. Understanding interpolation methods, selected analytical tools7. Spatial statistics in ArcGISSeminars:1. Basics in ArcGIS - repetition of common workflows2. Sources of statistical data, data formats, data structure and data management in GIS, data modification for GIS, naming restrictions, data join and relate.3. Advanced work with data in ArcGIS - managing data in file geodatabase, attribute and spatial selection, work with calculator in attribute table, SQL queries.4. Possibilities of thematic mapping in ArcGIS, available data classification methods and its use.5. Thematic mapping 1 - demography6. Thematic mapping 2 - population economic aktivity7. Thematic mapping 3 - housing, tourism, elections8. Thematic mapping 4 - landuse, agriculture9. Tools for interpolation, analytical tools10. Overview of the possibilities of spatial statistics in ArcGIS. Analysis of spatial patterns - Average Nearest Neighbor, Spatial Autocorrelation (Morans I)11. Mapping clusters - Hot Spot Analysis (Getis-Ord Gi*)12. Mapping clusters - LISA (Cluster and Outlier Analysis - Anselin Local Morans I)13. Presentation of tasks, discussion

Získané způsobilosti

Students will learn how to implement statistical data into GIS, carry above them calculations; data correctly classify, analyze, visualize and interpret with focus on selected topic of human geography. Students become familiar with the most common methods of spatial statistics and their application to examples of socio-economic differentiation. Students will be able in GIS independently analyze data, apply the selected methods and create map outputs. Teaching methods:- Monologic - Demonstration- Supported computer teaching

Literatura

http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.htmlMitchell, Andy. The ESRI guide to GIS analysis. Volume 1, Geographic patterns and relationships. Redlands : ESRI Press, 1999. ISBN 1-879102-06-4.Mitchell, Andy. The ESRI guide to GIS analysis. Volume 2, Spatial measurements and statistics. Redlands : ESRI Press, 2005. ISBN 978-1-58948-116-9.SLOCUM, Terry A, Robert B MCMASTER a Fritz C KESSLER. Thematic cartography and geographic visualization. Upper Saddle River: Pearson Education, 2005. ISBN 0-13-035123-7.

Požadavky

1. Participation in the seminars (min. 80%)2. Preparation and submission of all 6 tasks, where you must fulfill minimal evaluation points. Points for tasks 1-5 are: min. 8 pts, max 16 pts. For task 6 the min. is 11 pts, max. 20 pts. For passing it is necessary to collect at least 51 points, max. point gain is 100 points.

Garant

Mgr. Luděk Krtička

Vyučující

Mgr. Luděk KrtičkaMgr. Luděk Krtička