@@ -136,13 +136,25 @@ and then install the prerequisites in requirement.txt
## How to use Shire
### Necessary manual preparations
### Gui version
#### Necessary manual preparations
keys_to_include-file:
- format: csv-file
- list of feature names to be included as features in the mapping processing
- feature names have to match feature names provided in the data_summary-file
data_summary-file:
- format: csv-file
- table with the columns providing information on path where the dataset is stored, feature name, list of no data values, boolen parameter whether the dataset is categorical
- no column headers should be included
- all fields have to be provided
#### Running Shire
Shire can be intuitively started by running shire.py which launches the gui. The gui queries important user-defined parameters and data-specific information in order to then automatically create training and prediction datasets and/or create the susceptibility map using existing input datasets.
The initial window (see Fig. 1) see covers the basic information on the resulting map:
The initial window (see Fig. 1) covers the basic information on the resulting map:
Fig.1: GUI for defining the general settings for the mapping project
- _What do you want to do?_: Here it can be defined what should be done in this run. The options can either be ticked individually or in various combinations. _Training dataset_ and _prediction dataset_ launch the training and prediction dataset generation, _Map generation_ launches the susceptibilty map generation using already existing input datasets
