Supplementary materials for the publication
Schott, M.; Grinberger, A. Y.; Lautenbach, S. & Zipf, A. (2021) The Impact of Community Happenings in OpenStreetMap – Establishing a Framework for Online Community Member Activity Analyses In: ISPRS Int. J. Geo-Inf. 10, no. 3: 164. https://doi.org/10.3390/ijgi10030164
and the Masters Thesis
Schott, M. (2019) Unter the Spell of Cummunity Happenings - Analysing the Effects of Mapping Events on OpenStreetMap Contributors (available from the author)
- Happenings.gpkg
- Central information collected on the Happenings
- ParameterRegions.gpkg
- The combined dataset for the remoteness analyses.
- Mapper Data
- The mapper data potentially contains personal information. It is therefore available on request from the authors only.
For the orignial Processing all this data was combined in a SQLITE-Database. This database also contains the raw data for each mapper. As this may contain personal information it is only available on request from the author.
The directory contains the different scripts used to calculate the analysed metrics divided by tool used.
A GRASS GIS Bash-Script that states all steps taken to preprocess the Physical Location datasets
A Maven project holding a package for the CFM user extraction and another package for the mapper metric calculation. The metric calculation package is subdivided by the respective Influence Group and a helper package. The Main-Classes indicate the entry point for the code providing script run on the OSHDB.
Holds five scripts that were used to calculate certain user metrics after the data was collected using the Java-code.
Holds the five scripts used to evaluate the above mentioned SQLite database using statistical tests. There are separate scripts for analyses during events, for newcomers and for advanced mappers.
Holds a SQL script describing how the home region was elected.
It contains the complete set of statistical results in .html format. They form the 1:1 result of the R-scripts described above using R-Knitr.
The boxplots created during this evaluation can be found in the subfolder ResultFigures. Please note that this includes boxplots for analyses dimensions that were statisitcally insignificant.