Urban AI Rat


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About urbanism, complex networks and data sources

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one more!


To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

- Minimum PhD degree in Computational Geography, Spatial Data Science, Climate Modelling or Related Discipline.

- Strong geospatial programming skills in Python or similar languages, Google Earth Engine (GEE), with experience in geospatial libraries (e.g. Geopandas, GDAL) and visualisation libraries (Matplotlib, Seaborn, etc.).

- Familiarity with AI/ML techniques such as Neural Network and Deep Learning to disaster risk analysis / flood modelling / land subsidence modelling.

- Familiarity with predictive and scenario modelling for geospatial data applied to flood risk and vulnerability modelling.
Proficiency in writing and verbally communicating in English.

https://www.kcl.ac.uk/jobs/099826-post-doctoral-research-associate








Подложки от carto теперь подгружаются только с vpn


Not sure what the difference is, but just one more:

https://www.beansroute.ai


So, gis startup, huh?

https://www.beans.ai


https://www.sciencedirect.com/science/article/abs/pii/S037015731830022X

нашел базу

фуллы сам знаешь где найти)


твой пов когда не угадал с рынком


твой пов когда угадал с рынком










🥶 хорошо что ударения и запятые я расставляю по настроению


Forward from: @scihubot
simini2012.pdf
4.4Mb
Simini, F., González, M. C., Maritan, A., & Barabási, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484(7392), 96–100. doi:10.1038/nature10856

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