https://github.com/napo/geospatial_bigdive
the python notebooks used for the lesson "Spatial is Special: geo techologies and data" for BigDive
https://github.com/napo/geospatial_bigdive
geopands lesson python-notebooks
Last synced: 5 months ago
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the python notebooks used for the lesson "Spatial is Special: geo techologies and data" for BigDive
- Host: GitHub
- URL: https://github.com/napo/geospatial_bigdive
- Owner: napo
- License: mit
- Created: 2019-06-19T15:37:40.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-03-29T10:07:15.000Z (almost 5 years ago)
- Last Synced: 2024-11-04T11:40:42.544Z (about 1 year ago)
- Topics: geopands, lesson, python-notebooks
- Language: Jupyter Notebook
- Homepage:
- Size: 73.8 MB
- Stars: 3
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# geospatial bigdive
the python notebooks used for the lesson "Spatial is Special: geo techologies and data" for [BigDive](https://www.bigdive.eu/big-dive/)
## tutorials
The lesson is in 5 modules:
1. [GIS introduction with geopandas (vector data)](https://raw.githubusercontent.com/napo/geospatial_bigdive/master/01_GIS_introduction_with_geopandas_(vector_data)_bigdive.ipynb)
2. [Spatial relationships and operations](https://raw.githubusercontent.com/napo/geospatial_bigdive/master/02_Spatial_relationships_and_operations_bigdive.ipynb)
3. [Visualizing Geospatial Data](https://raw.githubusercontent.com/napo/geospatial_bigdive/master/03_Visualizing_Geospatial_Data_bigdive.ipynb)
4. [Geocoding](https://raw.githubusercontent.com/napo/geospatial_bigdive/master/04_Geocoding_bigdive.ipynb)
5. [Clustering](https://raw.githubusercontent.com/napo/geospatial_bigdive/master/05_Clustering_bigdive.ipynb)
note:
This tutorial is related only for vector data
## how to use with Colab
The scripts are created with [Colab](https://colab.research.google.com)
Look here how import
## introduction slides
look the [slides](https://github.com/napo/geospatial_bigdive/raw/master/docs/BigDive_geospatial_Introduction.pdf) for an introduction
## Readings
* [Automating GIS-processes 2019](https://automating-gis-processes.github.io/site/)