Week 8 - Maps, maps and more maps

We will start thinking about maps & map projection, both in bqplot and matplotlib and with geopandas+contextily. We’ll continue this week with building dashboards of mappable data.

Downloads

Data:

• The UFO Sitings Dataset (13Mb) - ufo-scrubbed-geocoded-time-standardized-00.csv
• State export data (8Kb) - total_export.csv
• Backup: Surgery Charges Dataset (37Mb) - market_map_data.csv
• Earthquake sensor data (59Mb) - data_tohoku_norm_transpose.csv
• Earthquake locations data (12Kb) - location.txt

Resources:

• State export utilities (Python library) - states_utils.py
• US State abbreviations (Python library) - us_state_abbrev.py

Optional reading list

1. VAD Ch. 8.1-8.3: Arrange Spatial Data
2. FDV, Ch. 15: Visualizing geospatial data
3. VAD, Ch. 13.4.2: Reduce Items and Attributes
4. Cartopy docs; ipyleaflet docs; Geopandas Docs

Materials

• Lecture 8: (view, source, present)
• Notebook: inClass_week08: (view, download)
• Notebook: prep_notebook_week08_part1: (view, download)
• Notebook: prep_notebook_week08_part2: (view, download)
• Python Script: states_utils: (download)
• Python Script: us_state_abbrev: (download)

Materials from Previous Courses

• Notebook: spring2019_prep_notebook_week07_part1: (view, download)
• Notebook: spring2019_prep_notebook_week07_part2: (view, download)
• Notebook: spring2019_prep_notebook_week07_part3: (view, download)