548-0130/01 – Programming in GIS 2 (PGIS2)

Gurantor department	Department of Geoinformatics	Credits	5
Subject guarantor	doc. RNDr. Jan Caha, Ph.D.	Subject version guarantor	doc. RNDr. Jan Caha, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	2	Semester	summer
		Study language	Czech
Year of introduction	2021/2022	Year of cancellation
Intended for the faculties	HGF	Intended for study types	Bachelor

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
CAH0021	doc. RNDr. Jan Caha, Ph.D.
KUK064	Ing. Pavel Kukuliač, Ph.D.
RUZ02	Ing. Kateřina Růžičková, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Credit and Examination	2+2
Part-time	Credit and Examination	8+8

Subject aims expressed by acquired skills and competences

Students should be able to apply Python and spatial libraries for simple GIS tools development with open source products. Students should be able to select suitable components for special tasks and situations. Students should be able to estimate complexity of tool development in special tasks and situations.

Teaching methods

Lectures
Tutorials
Project work

Summary

The subject is extending Python knowledge and its application for GIS platforms. Student will learn, how to create his own GIS tool/plugin. Student also get better knowledge in object-oriented programming.

Compulsory literature:

REY, S, ARRIBAS-BEL, D., WOLF , L. J. Geographic Data Science with Python. Chapman and Hall/CRC; 1st edition (June 14, 2023). Online: https://geographicdata.science/book/intro.html GANDHI, U. Geospatial Analysis with Python. Spatial Thoughts (2020). Online: https://courses.spatialthoughts.com/python-foundation.html UNIVERSITY OF HELSINKY. Geopython - AutoGIS. 2016. Online: https://automating-gis-processes.github.io/2016/course-info.html GARRARD, CH. Geoprocessing with Python. Manning, 2016. 360 p. Online: https://www.manning.com/books/geoprocessing-with-python ISBN 9781617292149

Recommended literature:

Documentation of GDAL library. Online: https://gdal.org/ GeoPandas developers. Geopandas. Online: https://geopandas.org/index.html GANDHI, U. Python Scripting (PyQGIS). Online http://www.qgistutorials.com/en/index.html Python Software Foundation. The Python Tutorial. Online: https://docs.python.org/3/tutorial/ Tutorials Point. Pycharm - Introduction. Online: https://www.tutorialspoint.com/pycharm/pycharm_introduction.htm

Way of continuous check of knowledge in the course of semester

Students are asked about knowledge from areas that they should have already known from previous lectures. They also work on individual tasks. Student must pass writing exam.

E-learning

Other requirements

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Revision of Python basics 2. Extending of Python basics - exceptions 3. Creation of virtual environments with Python interpreters and additional libraries 4. Python and procedural programming 5. Python and object-oriented programming 6. Projects backup with GitHub 7. Automated processing in GIS 8. GDAL, Rasterio libraries 9. Fiona, Shapely libraries 10. Creating using interface with Qt Designer 11. GeoPandas - geodata management and spatial reference of geodata 12. GeoPandas and vector geodata processing 13. GeoPandas and raster geodata processing

Conditions for subject completion

Full-time form (validity from: 2021/2022 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Credit and Examination	Credit and Examination	100 (100)	51
Credit	Credit	33 (33)	17
Work at exercise	Laboratory work	7	4
Programming tasks at exercises	Written test	13	0
Project	Project	13	7
Examination	Examination	67 (67)	35	3
Written exam	Written test	67	35	3

Mandatory attendence participation: Active attendance at 70% of exercise.

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Conditions for subject completion and attendance at the exercises within ISP: Lessons in form of self-study. Student can arrange on-line consultations with lecturer. Attendance of seminars according to student’s possibilities. The attendance can be substituted with individual project, which should be hand in until end of the examination period of studied semester. Study materials and tasks for seminars are available in lms.vsb.cz system. The exam must take place personally.

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Occurrence in study plans

Academic year	Programme	Zaměření	Form	Study language	Tut. centre	Year	Type of duty
2024/2025	(B0532A330034) Geoinformatics	GIT	K	Czech	Ostrava	2	Compulsory	study plan
2024/2025	(B0532A330034) Geoinformatics	GIT	P	Czech	Ostrava	2	Compulsory	study plan
2023/2024	(B0532A330034) Geoinformatics	GIT	K	Czech	Ostrava	2	Compulsory	study plan
2023/2024	(B0532A330034) Geoinformatics	GIT	P	Czech	Ostrava	2	Compulsory	study plan
2022/2023	(B0532A330034) Geoinformatics	GIT	P	Czech	Ostrava	2	Compulsory	study plan
2022/2023	(B0532A330034) Geoinformatics	GIT	K	Czech	Ostrava	2	Compulsory	study plan
2021/2022	(B0532A330034) Geoinformatics	GIT	K	Czech	Ostrava	2	Compulsory	study plan
2021/2022	(B0532A330034) Geoinformatics	GIT	P	Czech	Ostrava	2	Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

2022/2023 Summer