Speaker
Edzer Pebesma
(University of Münster)
Description
Areal units (polygons or pixels) are often used to summarize and distribute spatial data. In many spatial data science studies, datasets with different areal units need to be combined, and to do so first have to be transformed into a common set of areal units. This involves upscaling (going to a coarser resolution) or downscaling (going to a finer spatial resolution), or a combination. This presentation will explain the problem, review purely geometrical approaches (area-weighted interpolation, dasymetric mapping) and geostatistical approaches (area-to-area kriging), and discuss implementations in R.
Additional Material or Paper
https://github.com/edzer/UseR2026
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| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | spatial data, spatial aggregation, upscaling, downscaling, change of support |
|---|---|
| Virtual Option | This submission is for onsite presentation only |
| Material License | CC-BY 4.0 |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |
| Interested in serving as reviewer? | edzer.pebesma@uni-muenster.de |
Author
Edzer Pebesma
(University of Münster)