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Codebase for TDD session using Python example

Postgis db

Code collection for analyses run in the context of http://k1z.blog.uni-heidelberg.de/tag/osm-basics/

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.

An analysis using the ohsome API: http://k1z.blog.uni-heidelberg.de/2020/11/23/exploring-localness-of-osm-data-an-analysis-using-the-oshdb-and-ohsome-api/

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)

Comparison of OSM and ATKIS land use classes, intersections and symmetrical differences, possible grouping

Express Server

Frontend

Methods for showing quality related information on a map

Random Forest classification over Sentinel-2 data using training labels from OSM landcover database