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- After lesson 1 you should be able to:
search for information about the available GIS packages in Python understand how geometric objects are represented in Python using Shapely create geometric objects based on coordinate values (optionally) install Python packages on your own computer using conda
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- After lesson 2 you should be able to:
Read and write spatial data from/to common file formats Conduct simple analysis on spatial and non-spatial data Manage coordinate reference systems and re-project data
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- After lesson 3 you should be able to:
Do geocoding, i.e. converting addresses into Points (and vice versa) Conduct Point in Polygon queries Read data from KML file Make spatial and table joins between layers Find the nearest neighbour from Point -objects
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- After lesson 4 you should be able to:
Reclassify data based on different criteria (custom or common classifiers) Do overlay analysis & select data e.g. based on boundaries of another layer Aggregate data & merge geometric objects together, based on common id Simplify geometries
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- After lesson 5 you should be able to:
Create a static map with background basemap using Geopandas & contextily Create a simple interactive map using either Bokeh or Folium (or both) Share your maps (static / interactive) on the internet using GitHub pages
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- After lesson 6 you should be able to:
Retrieve and save data from OpenStreetMap using Python Extract simple street network properties and statistics Do simple route optimization using shortest path algorithm in osmnx / networkx
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Optional self-study |
- After going through the optional materials you should be able to:
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