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Create great maps in Python 🐍 with openstreetmap 🌍

Home Page: https://cartes-viz.github.io/

License: MIT License

Python 100.00%
altair cartopy geopandas geospatial gis maps openstreetmap

cartes's Introduction

Xavier Olive | Homepage | Twitter | Mastodon | GitHub | ResearchGate | LinkedIn | Stack Overflow | Strava

GitHub metrics

I am a research scientist at ONERA, the French Aerospace Lab, passionate about aviation, maps and data.

My research interests include Data Science, Machine Learning and Decision Science applied to aviation, with a particular focus on optimisation, anomaly and pattern detection. Applications range from air traffic management, operations, predictive maintenance, safety analyses and risk assessment.

Although my main job revolves around academic research, writing proposals and research papers, I consider decent software engineering, sharing among peers and with the general public, and reproducibility of results key components of my activity.

Book

Programmation Python avancée

I am the author of the Python book (in French) Programmation Python avancée – Guide pour une pratique élégante et efficace (ISBN 978-2-10-081598-2), available from May 5th, 2021.

A second edition is planned for September 2024.

python

GitHub languages

I am also one of the main contributors of the (hatching) book A journey through aviation data.

python

Software libraries

I am the main developper of the traffic library suite designed for analysing air traffic trajectory data.

traffic
traffic.js
traffic-rs

It heavily relies on more libraries I contribute to:

cartes rs1090 pitot impunity pyModeS

Community and interests

GitHub stars

GitHub stargazers

Teaching materials

pyclass optim4ai constraints

The facile library is a Python binding to a research-oriented constraint satisfaction and optimisation solver originally written in OCaml. The library offers a comfortable syntax for teaching purposes. I wrote a basic blog post few years ago to explain the technical tour de force it has been to implement a binding between two such different languages.

facile

Scientific records

Available on my personal website

cartes's People

Contributors

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cartes's Issues

Geometry missing while overpass shows the geometry

Hi I am trying to do this query where I have some admin_level=6 parts and some level=7:

sh_area = Overpass.request(
    area={"name": "Schleswig-Holstein", "admin_level": 4},
    rel=dict(boundary="administrative", admin_level=dict(regex="[6-7]")),
)

However I run into the issue that for some reason the admin_level=6 areas dont have data in the geometry column while on overpass they do get rendered as expected. https://overpass-turbo.eu/s/1pU9

image

image

Any ideas why this happens and how I fix this issue?

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