Abstract: The spatialization of precipitation data is crucial for studies on climatology, agriculture, and climate change, as well as for urban and environmental planning. Established spatial ...
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5 powerful pandas techniques every Python user should know
On a lot of DataFrame objects, the index will typically be an ascending list of numbers. If I have something with dates, I ...
Abstract: How to represent a seismic wavefield? Traditionally, while seismic wavefields are conceptualized continuously, acquisition geometries capture seismic data discretely using 2-D spatial ...
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