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Region Estimators

Authors: Gledson, Ann; Haines, Robert; Reani, Manuele; Lowe, Douglas; Jay, Caroline; Topping, David;
Abstract

region_estimators is a Python library to calculate regional estimations of scalar quantities, based on some known scalar quantities at specific locations. For example, estimating the NO2 (pollution) level of a postcode/zip region, based on site data nearby. The first version of the package is initialised with 2 estimation methods: Concentric Regions: look for actual data points in gradually wider rings, starting with sites within the region, and then working in rings outwards, until sites are found. If more than one site is found at the final stage, it takes the mean. Simple Distance measure: This is a very basic implementation... Find the nearest site to the region and use that value. If multiple (closest) sites exist with identical distances, take the mean.

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Keywords

python, estimations, Chemical Sciences not elsewhere classified, regional, Environmental Sciences not elsewhere classified, Biophysics, Genetics, Plant Biology, Computational Biology, concentric regions, Biological Sciences not elsewhere classified

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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