Introduction to Spatial Vector Data in Open Source Python
Welcome to Week 13!
Welcome to Week 13 of the Earth Analytics Bootcamp course! This week, you will write Python code in Jupyter Notebook to work with vector data in using open source Python software.
Learning Objectives
After completing the lessons for Week 13, you will be able to:
- Open and plot vector data using geopandas in Python
- Crop and manipulate vector data using geopandas
Homework & Readings
Click here to view the GitHub Repo with the assignment template.</i> {: .btn .btn–info .btn–x-large}
Earth Data Science Textbook Readings
Please read the following chapters of the Intermediate to Earth Data Science online textbook to support completing this week’s assignment:
Example Homework Plots
Below are example versions of the plots you will create for your homework.
Downloading from https://ndownloader.figshare.com/files/12459464
Extracted output to /root/earth-analytics/data/spatial-vector-lidar/.
Challenge 1a: Open And Clip Your Vector Data
Challenge 2: Figure 2 - Roads in Del Norte, Modoc & Siskiyou Counties
Downloading from https://ndownloader.figshare.com/files/25515986
Extracted output to /root/earth-analytics/data/earthpy-downloads/ne_10m_admin_0_countries
/opt/conda/envs/EDS/lib/python3.8/site-packages/pandas/core/reshape/merge.py:643: UserWarning: merging between different levels can give an unintended result (1 levels on the left,2 on the right)
warnings.warn(msg, UserWarning)
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