Geospatial Data Science with Python: GeoPandas

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Geospatial Data Science with Python: GeoPandas
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 4.04 GB | Duration: 8h 36m

Learn why the Geospatial Data Science tools are becoming so popular in the Geospatial sector.

What you'll learn

How to analyze geospatial data using the python data science ecosystem

Using Jupyter notebooks to provide complete documentation of your workflow and interactive code examples

The basics of the python data science ecosystem: NumPy, Matplotlib, Pandas, SciPy, Scikit-learn

Geospatial extensions to the Python data science ecosystem: Fiona, Shapely, GDAL, PySAL and most importantly GeoPandas

Perform common vector analysis tasks with GeoPandas


Basic understanding of GIS operations for data analysis (buffers, intersections, etc)

Basic understanding of Python (You can get what you need from my course Survey of Python for GIS analysis)


The combination of Jupyter Notebooks with Python and GeoPanda's allows you to analyze vector data quickly, repeatably, and with full documentation of every step along the way so your entire analysis can be repeated at the touch of a button in a notebook format that can be shared with colleagues.

If you ever get asked to explain your analysis, either for a scientific paper, to defend your results in a court, or simply to share what you've done with others so they can follow your steps than you will be glad that you conducted your analysis in Jupyter notebooks with GeoPanda's rather than in a traditional desktop GIS system.

If you ever get frustrated with limitations in desktop GIS software, some of which is still 32 bit, single core software that uses decades old technology under the hood then you will appreciate the performance that can be achieved with this approach.

Who this course is for:

GIS analysts who want to increase their understanding of data science

Data scientists who want to increase their understanding of geospatial analysis




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