https://github.com/jbisits/rasterhistograms.jl
Empirical distribution fitting for Rasters.jl.
https://github.com/jbisits/rasterhistograms.jl
histogram julia raster
Last synced: about 1 year ago
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Empirical distribution fitting for Rasters.jl.
- Host: GitHub
- URL: https://github.com/jbisits/rasterhistograms.jl
- Owner: jbisits
- License: mit
- Created: 2023-09-02T10:29:55.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-10-28T01:01:58.000Z (over 2 years ago)
- Last Synced: 2025-02-10T13:37:38.861Z (over 1 year ago)
- Topics: histogram, julia, raster
- Language: Julia
- Homepage:
- Size: 33.7 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# RasterHistograms
[](https://jbisits.github.io/RasterHistograms.jl/stable/)
[](https://jbisits.github.io/RasterHistograms.jl/dev/)
[](https://github.com/jbisits/RasterHistograms.jl/actions/workflows/CI.yml?query=branch%3Amain)
[](https://codecov.io/gh/jbisits/RasterHistograms.jl)
[Rasters.jl](https://rafaqz.github.io/Rasters.jl/dev/) provides excellent methods for reading, analysing and plotting for geospatial data.
This package provides empirical distribution fitting for `Raster` data structures aiming to provide functionality similar to python's [xhistogram](https://xhistogram.readthedocs.io/en/latest/index.html) for [xarray](https://docs.xarray.dev/en/stable/) in Julia.
## Using the package
The package is installed using Julia's package manager
```julia
julia> ]
(@v1.9) pkg> add RasterHistograms
```
To start using the package you will also need to have [Rasters.jl](https://github.com/rafaqz/Rasters.jl) installed (in the same manner as above but replace `RasterHistograms` with `Rasters`).
To then use the packages type
```julia
julia> using Rasters, RasterHistograms
```
into the repl.