Published
Edited
Aug 31, 2020
2 stars
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//upload the file that was produced by the python Jupyter notebook and change the name here
json = {const file = await FileAttachment("step4_prediction_kabul_SW.geojson").json().then(function(d) {
for (let i = 0 ;i<d.features.length; i++) {
d.features[i].id = i+1;
}
return d;
});
return file;
}
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md`The graphic below shows the predicted areas in square meters. In the 'Grid Cells' Option, select the OSM Completeness layer to visualize the ratio of predicted to OSM buildings. Green areas show where the predicted areas and presence of OSM building footprints overlap.`
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Purpose-built for displays of data

Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
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