701-1776-00L  Geographic Data Processing with Python and ArcGIS

SemesterAutumn Semester 2020
LecturersA. Baltensweiler
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 15.



Courses

NumberTitleHoursLecturers
701-1776-00 UGeographic Data Processing with Python and ArcGIS
3-day block course 9.9.-11.9.20 , 9-17
30s hrs
09.09.09:15-17:00NO D 39 »
10.09.09:15-17:00NO D 39 »
11.09.09:15-17:00NO D 39 »
A. Baltensweiler

Catalogue data

AbstractThe 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.
Learning objectiveThe 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.
ContentThe 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.
Lecture notesLecture notes, exercises and worked out solutions to them will be provided.
LiteratureLutz 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.
Prerequisites / NoticeBasic knowledge of ArcGIS is assumed.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits1 credit
ExaminersA. Baltensweiler
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places15 at the most
Waiting listuntil 25.09.2020

Offered in

ProgrammeSectionType
Doctoral Department of Environmental SciencesForest and Landscape ManagementWInformation
Environmental Sciences MasterMethods and ToolsWInformation