Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Machine Learning Uganda Borehole Failure


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 30.7 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: 3705
Downloads: 203
+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°

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

Comments

There are currently no comments

New Comment

required