Identification

Title
Kenya Population 2019
Abstract
combination of remotely-sensed and geospatial data that contribute to the modeled dasymetric weights and then use the Random Forest model to generate a gridded prediction of population density at ~100 m spatial resolution
License
Not Specified
+ The original author did not specify a license.

Publication Date
Oct. 16, 2019, 1:07 a.m.
Type
Raster Data
Category
Population
Settlements, anthropology, archaeology, education, traditional beliefs, manners and customs, demographic data, recreational areas and activities, social impact assessments, crime and justice, census information. Economic activities, conditions and employment.
Regions
Global
Approved
Yes
Published
Yes
Featured
No
DOI
None
Attribution
None
Responsible

Name
ICPAC (ICPAC)
email
developer@icpac.net
Position
Geoportal Admin
Organization
ICPAC
Location
Nairobi KEN
Voice
None
Fax
None
Information

Identification Image
Spatial Extent
---
Projection System
EPSG:4326
Extension x0
33.909583213
Extension x1
41.887083181
Extension y0
-4.721249780000001
Extension y1
5.462083513
Features

Language
English
Supplemental Information
No information provided
Contact Points

Name
ICPAC (ICPAC)
email
developer@icpac.net
Position
Geoportal Admin
Organization
ICPAC
Location
Nairobi KEN
Voice
None
Fax
None

References

Link Online
/layers/kenya_pop_2019:geonode:kenya_pop_2019
Metadata Page
/layers/kenya_pop_2019:geonode:kenya_pop_2019/metadata_detail

PDF
Kenya Population 2019.pdf
Original Dataset
Kenya Population 2019.zip
JPEG
Kenya Population 2019.jpg
PNG
Kenya Population 2019.png
GeoTIFF
Kenya Population 2019.geotiff
Legend
Kenya Population 2019.png
Thumbnail
Kenya Population 2019.png

OGC WMS: geonode Service
Geoservice OGC:WMS
OGC WCS: geonode Service
Geoservice OGC:WCS
Metadata Author

Name
ICPAC (ICPAC)
email
developer@icpac.net
Position
Geoportal Admin
Organization
ICPAC
Location
Nairobi KEN
Voice
None
Fax
None