density_estimated: Create a map with density estimation
In dd-harp/population_comparison_bioko: Compares population estimates for Bioko Island, Equatorial Guinea
Description
Usage
Arguments
Details
Value
Description
Calculating urban fraction by pixel is strange when
you have 100 m pixels because urban fraciton is 1000
people in a square kilometer, which is 10 people in
a square 100 m, so it's more than one large household.
Usage
1
density_estimated(population, bioko_sf, bandwidth, urban_cutoff = 10)
Arguments
bioko_sf
Shapefile for bioko borders
bandwidth
A bandwidth to use for the kernel density estimator
You have to choose this number. Take a look at 'power_bandwidth'.
population_array
a Raster of population
cutoff
The minimum that determines
Details
Therefore, we use a kernel density estimator for these
grid resolutions.
Value
A fraction that are above that level
dd-harp/population_comparison_bioko documentation built on Feb. 28, 2021, 11:05 p.m.
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Description Usage Arguments Details Value
Description
Calculating urban fraction by pixel is strange when you have 100 m pixels because urban fraciton is 1000 people in a square kilometer, which is 10 people in a square 100 m, so it's more than one large household.
Usage
1 | density_estimated(population, bioko_sf, bandwidth, urban_cutoff = 10)
|
Arguments
bioko_sf |
Shapefile for bioko borders |
bandwidth |
A bandwidth to use for the kernel density estimator You have to choose this number. Take a look at 'power_bandwidth'. |
population_array |
a Raster of population |
cutoff |
The minimum that determines |
Details
Therefore, we use a kernel density estimator for these grid resolutions.
Value
A fraction that are above that level
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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