The course communicates the basics of the programming language Python and gives a general introduction into the geoprocessing framework of ArcGIS. In addition various Python libraries (numyp, Scipy, GDAL, statsmodels, pandas, Jupyter Notebook) will be introduced which increase the functional range of the geoprocessing framework substantially.
Lernziel
The students learn the basics of geographic data processing based on the programming language Python and ArcGIS (arcpy). They get the ability to implement their own processing sequences and models for geoprocessing. The students are able to integrate open source libraries in their Python scripts and know how the libraries are applied to spatial datasets.
Inhalt
The course communicates a deepened understanding of the geoprocessing frameworks arcpy and covers basic language concepts of Python such as datatypes, control structures and functions. In addition the application of popular Python libraries in combination with spatial datasets will be shown.
Skript
Lecture notes, exercises and worked out solutions to them will be provided.
Literatur
Lutz M. (2013): Learning Python, 5th Edition, O'Reilly Media De Smith M., Goodchild, M.F., Longley, P. A. (2018): Geospatial Analysis, 6th Edition, Troubador Publishing Ltd. Zandbergen P. A. (2014): Python Scripting for ArcGIS. Esri Press. Allen, D. A. (2014): GIS Tutorial for Python Scripting. ESRI Press.
Voraussetzungen / Besonderes
Basic knowledge of ArcGIS is assumed.
Leistungskontrolle
Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs