07-11, 13:30–17:30 (America/Chicago), Classroom 103
We love Python but maybe not enough to commit to an entire coding language. What if we could understand the fundamentals and begin working with real-time data in a single session? Actionable python scripts and understanding the frameworks might be enough to be a springboard for larger exploration projects.
Recent advances in geospatial analysis and the availability of digital maps have revealed the importance of urban form and built infrastructure as fundamental to understanding the vulnerabilities and vitality of global and local cities.
Learning to write Python scripts (assuming low or no-level prior experience) we will discover morphometrics and what they reveal about the urban form of cities.
https://docs.google.com/document/d/1vnWhNyUBRpILb2MAHQfTmZQY3pCIaCmroV9ke49nQlE/edit?usp=sharing
Prerequisites –Familiarity with jupyter lab although we will be working in Nebari with a suite of dependencies and packages already available.
Python basics will be helpful
Google Earth Pro (free) -- optional
https://www.google.com/earth/versions
Reference article for interest:
Methodological foundation of a numerical taxonomy of urban form
fleischmann-et-al-2021-methodological-foundation-of-a-numerical-taxonomy-of-urban-form.pdf
Dr Bonny McClain is a geospatial analyst & self described human geographer and social anthropologist. Dr McClain applies advanced data analytics, including data engineering and geo-enrichment, to poverty, race, and gender discussions. Her research targets judgments about structural determinants, racial equity, and elements of intersectionality to illuminate the confluence of metrics contributing to poverty. Moving beyond ZIP codes to explore apportioned socioeconomic data based on underlying population data leads to discovering novel variables based on location to build more context to complex data questions.
Recent Talks:
Data Day Texas, Geospatial Keynote 2023
Open Source Solutions for Environmental Racism|Open Source Science Data Repositories Workshop| NASA, Langley Research Center|September 2022
Keynote Speaker | GIS DAY | Los Angeles County 2023
GIS Keynote Data Day Texas 2023
Formulating geospatial data questions to answer big problems | GeoPython 2022
SciPy 2022-2023 Diversity Committee Chair 2022
NC HIMSS Annual Conference: Closing Keynote: Location Intelligence: How Does Our Infrastructure Influence Change in Our Built Healthcare Environment?
SciPy Diversity Luncheon Keynote – July 2020--bias in algorithms