Advanced Methods for Geographers

- upgrading the knowledge and skills of multivariate statistical methods in geography: principal components and factor analysis, discriminant analysis, their exploratory and predictive use,
- the purpose and characteristics of machine learning / data mining in geography, the relationship between statistics and machine learning, an overview of machine learning algorithms and tools for their implementation,
- basics of the decision tree method: regression and classification trees, selected partitioning methods, binary and multidirectional node partitioning, substitution of predictor variables, measures of predictive accuracy, different approaches to evaluating model predictions, possible approaches to improving the results of the decision tree method,
- use of Python scripts in performing GIS-based tasks: online resources of Python scripts, guided (group) and independent learning and training for using scripts in performing geoinformation tasks,
- written project work (with independently performed examples on the use of multivariate statistical methods, decision trees and own Python script), documentation and research database, presentation in the seminar.

• Fotheringham, A. S., Brunsdon, C., Charlton, M., 2002. Quantitative geography. Perspectives on spatial data analysis. London itd., Sage Publications, 270 str. (izbrana poglavja) COBISS.SI-ID – 19162722
• Johnston, R. J., 1991. Multivariate statistical analysis in geography. London, New York, Longman, 280 str. (izbrana poglavja) https://archive.org/details/multivarstaanalgeojohns0035/page/n7/mode/2up
• Limb, M., 2001. Qualitative methodologies for geographers. London, Arnold, 303 str. (izbrana poglavja) COBISS.SI-ID – 16872034
• Robinson, G., 1998. Methods and Techniques in Human Geography. Chichester, John Wiley & Sons, 556 str. (izbrana poglavja) COBISS.SI-ID – 5014370
• Witten, I. H., Frank, E., Hall, M. A. 2011. Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, 664 str. (izbrana poglavja) https://search-ebscohost-com.nukweb.nuk.uni-lj.si/login.aspx?direct=tru…
• Zandbergen, P. A., 2020. Python Scripting for ArcGIS. ESRI Press, 398 str. Izbrana literatura za posamezne obravnavane teme. COBISS.SI-ID – 47324675
• Izbrana dela iz sodobne literature s področja večvariantne statistike, strojnega učenja in uporabe Python skriptov (po izboru študenta glede na tematiko projekta).

Other current literature available in the e-classroom.