Introduction to GIS and GeoComputation

Topic:

The integration of GIS and GeoComputation has led to the development of new tools and methods for spatial analysis and modeling. GIS creates and manages spatial datasets, while GeoComputation processes and analyzes them using statistical and machine learning techniques. This combination provides powerful tools and methods for spatial data analysis, modeling, and visualization. This workshop will focus on open-source GIS libraries and tools such as GDAL, GeoPandas, PySAL, and GeoDa that are commonly used in this field.

Objectives:

• Open source tools for exploratory spatial data analysis,
• Common GIS operations and scripts for raster and vector processing,
• Introduction to PySAL

Install Anaconda/Miniconda/Condaforge or Jupyterlab desktop application https://github.com/jupyterlab/jupyterlab-desktop.

You may use either of the following installers.

• Debian, Ubuntu Linux Installer
• macOS Intel Installer, macOS Apple silicon Installer
• Windows Installer

Setup environment

conda env create --file=environments.yml

To activate the environment

conda activate Geocomputation

dataset: Data.zip