Panoply for Mac

4.2.0 100% CLEAN Freeware    
2.0/5 22
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A versatile cross platform application that enables you to quickly plot images for the latitude-longitude data contained by netCDF datasets.

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Panoply is designed to help you view and process the data included in netCDF, HDF, GRIB, and other types of databases, in order to generate geo-gridded plots. Since the application deploys on the Java Runtime, Panoply can be used on multiple platforms.

Plot geo-gridded arrays via a well organized user interface

Once installed on your Mac, you can use the Panoply application to quickly open database files that have various extensions, such as .nc, .nc4, .grib, .hdf, .hdf4, or .hdf5. Since Panoply quickly integrates into your system, simply double clicking the respective files should do the trick.

Noteworthy is that Panoply also offers you the possibility to browse OpenDAP and THREDDS catalogs available online, and use them as datasets sources.

The Panoply user interface is organized into multiple tabs that help you browse between datasets and catalogues, to adjust the scale range, to customize labels, vectors, to overlay masks, and so on. All in all, finding your way around proves to be fairly intuitive.

Process datasets and visualize the geo-gridded arrays

The Panoply application can be used to plot and slice 1D and 2D arrays by using multi-dimensional variables expressed as latitude and longitude data. The utility can also combine two arrays and can project the analysis using more than 100 maps. What’s more, you get to overlay continent, or other types of masks on top of the generated arrays.

The geo-gridded representation, can be exported to image files (JPG, JPEG, TIFF, or PNG), to PDF documents, to PostScript files, to AVI or MOV animations, or to the KMZ file format.

To conclude, if you need to visualize the information contained by HDF, netCDF, and GRIB datasets, Panoply includes the necessary tools for plotting and slicing the included data, in order to provide and accurate graphic representation.
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Panoply was reviewed by
3.0/5
Last updated on May 1st, 2015

#raster images #latitude longitude #gridded data #raster #image #latitude #longitude

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