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The aim of the analysis was to decide if data quality of OpenStreetMap (OSM) was sufficient to perform an analysis of effects of the Jakarta 2013 flood on the road network and the accessibility of health sites. Analysis done in R.

Codebase for Property-based testing session using Python and Hypothesis

Codebase for TDD session using Python example

Code sharing point for data processing of OSM based multitags on Sentinel 2 patches.

Examples and Tutorials on how to use the core-project of the OSHDB. This will also hold the workshop-code. It was extracted from the core-project, where it was hosted before today.

Codebase in Java to practice Refactoring Techniques.

Methods for showing quality related information on a map

Demostration of pre-commit for the Scientific Python Meetup

Calculation of land use shares of green and blue land use classes of grid cells, summed up NDVI per grid cell, NDVI boxplots per land use class (ATKIS and OSM)