Geospatial analysis using python

krishna lodha (~krishna70)


Since almost all industries are more or less connected to Location and mapping, it is important to spread awareness and literate developers to understand different aspects of the GIS (Geographic Information System) industry. The first part of this series focuses on different GIS Data types and how to read them, This includes understanding different data formats such as Shapefiles, GeoJSON, WKT, CSV, TIFF, GeoTIFF, etc.. Users can actually read such files on their computers and be familiar with them. The second part of this series focuses on geospatial analysis with python. Users will first practice working with some core GIS functionalities using GDAL and OGR on the terminal (and later in python). After this, users will be familiarised with the most widely used geospatial python libraries such as pandas, geopandas, fiona, shapely, matplotlib, PySAL, rasterio.

Complete Series is divided into the following sub-topics :

  1. Introduction and Installation of all Geospatial libraries in computer and in python environment
  2. Working with GDAL and OGR capabilities
  3. Spatial Operations and Relationships
  4. Vector data analysis and visualization
  5. Raster Data analysis and visualization
  6. Working with Interactive Map in a python notebook

Access more detailed information at :


  1. Basic knowledge of Python

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Speaker Info:

Hello, world! I'm Krishna, I am a Full-stack GIS Developer who works with Open-source technologies as well as Enterprise Technologies. [HTML_REMOVED] Most part of my day goes into thinking how can I make more complex GIS applications using nothing but a cup of coffee and Open-source technologies [HTML_REMOVED]Other time I enjoy writing GIS articles, have a look at them here [HTML_REMOVED] Read more about me at [HTML_REMOVED] LinkedIn :

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Section: Others
Type: Workshop
Target Audience: Beginner
Last Updated: