Session 26 - (4/24)

Icebreaker question

• Do you practice any superstitions (everyday magic) or if not are there any that you think are especially interesting?
  • Touching wood, triscadecaphobia, fortune telling, spilling salt, not stepping on cracks, tapping pipette tip 3 times, wouldn't walk under a ladder

Learning objectives

In this session we will learn about geospatial data analysis with python. By the end of this session you will be more familiar with the following topics:

• Raster and Vector data formats
• Coordinate reference systems
• Geospatial analysis with geopandas

In class exercises

• Intro to Geospatial Analysis Tutorial

Assignments

• Assignment is to keep working on your project, and to prepare for the project presentation

Further readings and geospatial resources

• Read the Datacarpentries Introduction to Geospatial Concepts
• https://pangeo.io/ <- Lots of links to new/interesting geospatial libraries
• Geospatial Data Analysis with Python <- Course work from a recent geospatial class at UW

• https://pythongis.org/ <- Introduction to Python for Geographic Data Analysis coursework

• https://xyzservices.readthedocs.io/en/stable/introduction.html

• https://geopandas.org/en/stable/getting_started/introduction.html
• https://www.earthdatascience.org/courses/use-data-open-source-python/intro-vector-data-python/vector-data-processing/
• https://pythongis.org/part2/chapter-06/nb/01-geodataframe.html

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