Machine Learning Uganda Borehole Failure
| Authors: | |
|---|---|
| Owners: | Shay StrongChristina J NortonNicoleta Cristea |
| Type: | 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. (Metadata update) |
| Published date: | Mar 29, 2019 at 7:14 p.m. |
| DOI: | 10.4211/hs.cf0e4c7d6a41457ebcea2ffc397b712d |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 4501 |
| Downloads: | 211 |
| +1 Votes: | 1 other +1 this |
| Comments: | No comments (yet) |
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?
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Uganda
Longitude
32.5208°
Latitude
1.0953°
Leaflet Map data © OpenStreetMap contributors
Content
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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/
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