Geographical-Computing
Geospatial Python course
Course materials and resources for teaching Python programming for geospatial applications
Course materials for GISC 420 Geographical Computing
9 stars
3 watching
6 forks
Language: Jupyter Notebook
last commit: 4 months ago Related projects:
Repository | Description | Stars |
---|---|---|
| An educational resource offering a structured Python course focused on geospatial data analysis and processing using Jupyter Notebook. | 86 |
| Geospatial data tutorial using Python libraries for geographic data and computations | 148 |
| An introduction to using Python in geoscience applications | 462 |
| An online textbook providing core geospatial functionality in Python, covering topics such as data handling, remote sensing, and machine learning. | 174 |
| An interactive introduction to geospatial data analysis using Python and Jupyter Notebook | 339 |
| A comprehensive Python library for geospatial data science and analysis, providing tools for spatial statistics, graph construction, and exploratory data analysis. | 1,346 |
| An online learning platform providing interactive scientific computing tutorials and exercises for 4th-year UCL Geography students. | 28 |
| A collection of tools and extensions to the Google Earth Engine Python API for geospatial processing | 531 |
| Asynchronous Cogeotiff reader with support for multiple file systems and metadata access | 73 |
| A tutorial project teaching fundamental remote sensing and GIS methodologies using Python | 323 |
| A Python interface to process geospatial and geophysical data and create publication-quality maps | 776 |
| A collection of Jupyter notebooks providing example code for working with geospatial data using STAC and Dask. | 65 |
| An extension for Jupyter notebooks providing geospatial visualization and analysis capabilities | 1,084 |
| Teaches GIS desktop users to work with Python and Jupyter Notebooks for geoprocessing tasks | 8 |
| A toolset for geology-related calculations and plotting | 250 |