PyTrackDat — A pipeline for online data collection and management
PyTrackDat comprises two Python scripts that analyze and assist in converting
data and relevant metadata from
.csv files into an online database that can
facilitate data management, manipulation, and quality control. What each of
these scripts does is outlined in this
README.md file. Note that the care
that is taken to assemble
.csv files before using these scripts will help
ensure that the database generated is maximally useful.
The latest documentation is available on ReadTheDocs.
Enabling GIS mode
To enable experimental GIS support, add the following to the shell environment:
SPATIALITE_LIBRARY_PATH environment variable must also be configured to
point to the Spatialite library instance in some cases (if Django cannot find
Using Spatialite for GIS on macOS
To use Spatialite on macOS, it is suggested that
brew is used to install
SPATIALITE_LIBRARY_PATH on macOS should be the following:
python3 that ships with macOS does not have extension support
enabled, and thus cannot be used to build the PyTrackDat site.