Some Geospatial expectations

Inspiration

I first heard about Great Expectations when I was maybe 15 years old. (I'm talking about the Charles Dickens novel, of course)

Seriously though, I first heard about Great Expectations from this lecture from Full Stack Deep Learning. which mentioned it alongside different data quality and ML monitoring tools. Never thought I'd one day contribute to it though!

What it does

Here lie the pull request links:

• ExpectColumnAverageLatLonPairwiseDistanceToBeLessThan
• ExpectColumnValuesToBePolygonAreaBetween
• ExpectColumnValuesToBeLatLonInTimezone
• ExpectColumnValuesGeometryToBeOfType
• ExpectColumnValuesToBeNonemptyGeometries
• ExpectColumnValuesReverseGeocodedLatLonToContain
• ExpectColumnValuesToBeValidGeojson
• ExpectColumnValuesLatLonToBeLandOrOcean
• Added prescriptive renderers to 6 geospatial expectations

Built With

• python