155ISDP Introduction to Spatial Data Processing
Basic Information
- 2 hours lectures per week
- 2 hours exercises per week
- 6 credits
- finished with an exam / project
- summer semester
Anotation
Introduction into geospatial data processing. Various workflow automation techniques (interactive tools, Python programming language, and Structured Query Language). Demonstration of various processing environments (desktop applications, database environments, cloud-based computing).
Lectures
Lecturers: Ing. Martin Landa, Ph.D., Ing. Ondřej Pešek, Ing. Linda Kladivová
- (22.2.) Introduction into GIS, open geospatial datasets
- (01.3.) Geospatial data and web services
- (08.3.) Data processing automation
- (15.3.) Introduction into Python data processing
- (22.3.) Geospatial Python libraries (open source)
- (29.3.) Geospatial Python libraries (Esri)
(05.4.) No tuition- (12.4.) Space-time geospatial data processing
- (19.4.) Cloud-based geospatial data processing
- (26.4.) Introduction into databases, SQL
- (03.5.) Geospatial data in SQL
(10.5.) No tuition- (17.5.) Geospatial data processing in SQL