{"repo":"JuliaDataCubes/PyramidScheme.jl","free":true,"listed":false,"github":"https://github.com/JuliaDataCubes/PyramidScheme.jl","clone":"git clone https://github.com/JuliaDataCubes/PyramidScheme.jl.git","description":"Building and using pyramids for large raster data","language":"Julia","stars":18,"topics":["data-analysis","data-visualization","geospatial","julia","visualization"],"license":"MIT","category":"analytics","readme_excerpt":"PyramidScheme PyramidScheme.jl is a package to easily and efficiently compute pyramids of a given datacube which might be larger than RAM. It uses DiskArrayEngine.jl as the computational backend. The pyramids can then be used to interactively explore the data. The long term aim of PyramidScheme.jl is to enable computing based on the layers of the pyramid to enable a more interactive exploration of computations based of pyramided datasets. PyramidScheme.jl in action Usage To compute the pyramids of a given data cube use the following steps: Preparing the Pyramid for zarr data If you want to prepare a pyramid which is saved inside of a Zarr dataset you can use the buildpyramids function. The buildpyramids function adds the Here we use the same example data as above, but we first save the data in a zarr file. Example above To reproduce the zooming example shown at the top of the README you can get the Above Ground Biomass here or try to load it from the cloud, but this might have some serious lag.","default_branch":null,"files":null,"tree":[],"storefront":"/r/JuliaDataCubes","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/JuliaDataCubes/PyramidScheme.jl/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}