## Upcoming Events
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https://www.meetup.com/data-umbrella
Christy Heaton: Geospatial Data and Maps with Python
## Key Links
- Transcript: https://github.com/data-umbrella/event-transcripts/blob/main/2022/46-christy-python-geomapping.md
- Meetup Event: https://www.meetup.com/data-umbrella/events/283995347/
- Video: https://youtu.be/EXHG-bLGT0Y
- GitHub repo: https://github.com/christyheaton/Data_Umbrella_Geospatial_Data
- Slides: https://docs.google.com/presentation/d/1YlG_CNO5y4ZaUekzqYQxyUQ8M4L1eTCOJ6uqg94exZE/edit#slide=id.p
- Jupyter Notebook: https://github.com/christyheaton/Data_Umbrella_Geospatial_Data/blob/master/Notebook/Intro.ipynb
## Agenda
00:00:00 -- Data Umbrella Introduction by Reshama --
00:04:01 Reshama introduces the talk
00:05:05 -- Christy begins presentation--
00:06:18 Maps and layers
00:07:30 Projections and Coordinate Systems
00:09:24 Mapping Software
00:10:47 Python mapping libraries
00:12:47 Demo time: Geopandas
00:37:23 Demo time: Spatial Analysis
00:53:15 Mapping limitations
00:53:52 -- Q & A --
## Event
Maps are powerful tools that we use every day, and Python is well-equipped to handle geospatial data, perform geospatial analysis, and create insightful maps. In this talk, we'll go over some common Python mapping libraries, considerations when working with geospatial data, and use cases.
## Speaker
Christy Heaton is a GIS/Data Analyst at Floyd|Snider, an environmental consulting firm in Seattle, Washington. She has been a mapping professional and Python advocate for over 10 years with experience working in the public and private sectors and education. As a co-organizer of PyLadies Seattle, she strives to assist her local Python community and support underrepresented groups in technology.
LinkedIn: https://www.linkedin.com/in/christyheaton/
Twitter: https://twitter.com/christytoes
GitHub: https://github.com/christyheaton