Python for Geographic Information System (GIS) Training Course
A geographic information system (GIS) is a sophisticated framework designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is sometimes used interchangeably with geographic information science (GIScience), referring to the academic field that studies these systems. This domain falls within the broader academic discipline of geoinformatics.
The integration of Python into GIS has significantly expanded over the past two decades, especially with the release of Python 2.0 in 2000, which introduced numerous programming enhancements that made the language more accessible and versatile. Since then, Python has been widely adopted not only in commercial GIS products like those from Esri but also in open-source platforms such as QGIS and GRASS. Today, Python is the most prevalent programming language among GIS users and developers.
This program focuses on utilizing Python and its advanced libraries, including geopandas, pysal, bokeh, and osmnx, to develop your own GIS features. The curriculum also includes introductory modules on the ArcGIS API and the QGIS toolbox.
This course is available as onsite live training in Uzbekistan or online live training.Course Outline
Introduction to GIS
Installation and Required Packages
Introduction to Shapely for Geometric Objects
Intro to Pandas and GeoPandas
Managing maps and Projections
Geocoding and ArcGIS API
Geocoding Point in Polygons with GeoPandas
Spatial join
Data Classification; pysal map classifier
Overlay Analysis
Aggregating spatial data
Geometries simplifications
Visualization with Bokeh
Static and Interactive Maps
Using GIS Applications
ArcGIS API usage and processing toolbox
Python in QGIS; Processing toolbox & graphical modeller
Creating own processing toolbox;
Network Analysis and OpenStreetMap
Downloading and working with OpenStreetMap data; Osmnx
Network analysis in Python; Networkx; Osmnx;
Conclusion
Requirements
A prior experience with Python for Machine Learning and with the libraries like pandas, matplotlib is highly recommended.
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Testimonials (2)
I'm looking forward to having a training again with Any, he was really good, I'm just a GIS guy, but Any made everything clear to me, he explained complex processes in layman's terms. Keep it up, thank you.
Lwazi Qhingana - South African National Roads Agency (SANRAL) SOC Ltd
Course - Python for Geographic Information System (GIS)
I really enjoyed the training. I found all modules to be applicable to problems that I am trying to solve at work. The integration of the training with jupyter notebooks was really impressive.
Mark Firmin - Environment and Climate Change Canada
Course - Python for Geographic Information System (GIS)
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