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Machine Learning Uganda Borehole Failure


Authors: Shay Strong
Owners:
Resource type: Composite Resource
Storage: The size of this resource is 39.8 MB
Created: Mar 27, 2019 at 11:15 p.m.
Last updated: Mar 29, 2019 at 7:14 p.m.
DOI: 10.4211/hs.cf0e4c7d6a41457ebcea2ffc397b712d
Citation: See how to cite this resource
Sharing Status: Published
Views: 248
Downloads: 49
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Abstract

Do water borehole failures, in Uganda, correlate with geographic details, population, or political reasons? Is there a trend based on which orgnization oversaw the installation or raised the capital? Can we create an ML model to determine if correlations exist?

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Uganda
Longitude
32.5208°
Latitude
1.0953°

Content

How to Cite

Strong, S. (2019). Machine Learning Uganda Borehole Failure, HydroShare, https://doi.org/10.4211/hs.cf0e4c7d6a41457ebcea2ffc397b712d

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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