omkurz,github

low_cost_sensors

Data analysis scripts for the Bachelor course "Field Climatology with Low-Cost Sensors" at Humboldt-University Berlin

maps-of-berlin

creating interactive choropleth maps using demographic and residential data

The project explores a traffic network of Berlin, with a focus on the resilience of the network, specifically looking at how well the city is at redirecting traffic in a scenario where roads are closed off.

neue_fische

osm-berlin

Data wrangling on OpenStreetMap data of Berlin, Germany

pollution_correlation

IRONHACK Project Nr.1 work related on the public transportation and pollution

pollution_correlation_madrid_berlin_hongkong

Ironhack group project investigating correlations between pollutant density and public transportation

powerbi-desktop-samples

Power BI Desktop sample files for the monthly release. Here you can find the PBIX files used in the monthly release videos.

python-for-geospatial-data-analysis

This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.

rain-in-berlin

Analysis of heavy rain for Berlin, Germany.

scipy2018-geospatial-data

ski_jumping_data_center

st22-active-learn-trees

The Green Monitor website showcases the positive environmental impact of trees in Berlin and raises the users’ awareness about the trees surrounding them and encourages to make Berlin greener together. The application allows the user to gain more information about trees in their selected district of Berlin and to identify trees from uploaded pictures.

streamlit

Streamlit — The fastest way to build data apps in Python

tabpy

Execute Python code on the fly and display results in Tableau visualizations:

temperature

Autoregressive model for forecasting temperature developement based on data from Berlin weather station.

temperature_forecast

Time series analysis based on Berlin-Templehof area’s historical data of daily temperature, taking into account trend and seasonality issues. Produced a 3-day forecast with only 4% error