Complete Guide: Installing hyantesite on Ubuntu 20.10 (Groovy Gorilla) 2024

1. Install "hyantesite" package

Learn how to install hyantesite on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                hyantesite
            
                    
    
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2. Uninstall "hyantesite" package

In this section, we are going to explain the necessary steps to uninstall hyantesite on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                hyantesite
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the hyantesite package on Ubuntu 20.10 (Groovy Gorilla)

Package: hyantesite
Architecture: amd64
Version: 1.3.0-2ubuntu1
Priority: extra
Section: universe/math
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 49
Depends: libc6 (>= 2.4), libhyantes0 (= 1.3.0-2ubuntu1)
Filename: pool/universe/h/hyantesite/hyantesite_1.3.0-2ubuntu1_amd64.deb
Size: 13112
MD5sum: ec85b64ac6c1dfd02e124d1f05b64581
SHA1: aa337b1efc6e75ecab7cd1e568138932c0cf38a9
SHA256: 13a9fa45240871f99d4bc8a86385a3d3e1ba0f7439961b46d217996fef95d5d4
SHA512: 8ad4bb89f109a24e292daa03ac0def2a33481a99f0305c08ebf666ceae9a93a173b847f31560c6deb330b3a31d1f28c0af32fdabb6a9052322b17a7255c45450
Homepage: http://hyantes.gforge.inria.fr
Description-en: geomatic tool to compute neighbourhood population potential
Client to perform actions provided by libhyantes.
hyantes aims to develop new methods for the cartographic representation of
human distributions (population density, population increase, etc.) with
various smoothing functions and opportunities for time-scale animations
of maps.
It provides a smoothing method related to multiscalar neighbourhood
density estimation.
Description-md5: ce68ce5bb8cb0ee639a8c01e0cff7f61