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hackathonLet's hack on this together!Let's hack on this together!workflowA story that enables a new workflowA story that enables a new workflow
Description
A common pattern for geospatial practitioners is to check results at each step of an analysis using QGIS:
- Change the analysis
- Write out a data file
- Copy the dataset from cloud environment, e.g. JupyterHub (unless working locally)
- Open QGIS
- Create a new project
- Add a basemap
- Add data from (2) to QGIS project
- Check the data
- Repeat from 1
This should be achievable with JGIS instead with significantly fewer steps. Our first iteration might look like:
- Change the analysis
- Write out the data
- Pass the data to JGIS with one line of code, e.g.
from jupytergis_lab import geo_debug; geo_debug("my_data.tif") - Check the data in JGIS (e.g. in a sidecar/tab/split view panel)
- Repeat from 1
We could do even better eventually, making this process (close to?) frictionless:
- Change the analysis
- Pass the data to JGIS with one line of code, e.g.
from jupytergis_lab import geo_debug; geo_debug(my_geodataframe)(ormy_data_array, or ...) - Check the data in JGIS (e.g. in a sidecar/tab/split view panel)
- Repeat from 1
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hackathonLet's hack on this together!Let's hack on this together!workflowA story that enables a new workflowA story that enables a new workflow