abstract: This article reviews the range of delivery platforms that have been developed for the PySAL open source Python library for spatial analysis. This includes traditional desktop software (with a graphical user interface, command line or embedded in a computational notebook), open spatial analytics middleware, and web, cloud and distributed open geospatial analytics for decision support. A common thread throughout the discussion is the emphasis on openness, interoperability, and provenance management in a scientific workflow. The code base of the PySAL library provides the common computing framework underlying all delivery mechanisms
This paper reflects on a number of trends towards a more open and reproducible approach to geographi...
All over the world, organizations are increasingly considering the adoption of open source software ...
Over the past decade, open source software has become widely accepted across governments, industries...
This article reviews the range of delivery platforms that have been developed for the PySAL open sou...
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a...
All over the world, organizations are increasingly considering the adoption of open source software...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
International audienceAfter decades of an overwhelming GIS methodological approach to geographical d...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
The landscape of open-access geospatial data is vastly growing with an abundance of open source soft...
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a...
This paper reflects on a number of trends towards a more open and reproducible approach to geographi...
Geocomputation, with its necessary focus on software development and methods innovation, has enjoyed...
This paper reflects on a number of trends towards a more open and reproducible approach to geographi...
All over the world, organizations are increasingly considering the adoption of open source software ...
Over the past decade, open source software has become widely accepted across governments, industries...
This article reviews the range of delivery platforms that have been developed for the PySAL open sou...
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a...
All over the world, organizations are increasingly considering the adoption of open source software...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
International audienceAfter decades of an overwhelming GIS methodological approach to geographical d...
Geospatial data is getting bigger and such large and complex datasets are becoming more and more dif...
The landscape of open-access geospatial data is vastly growing with an abundance of open source soft...
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a...
This paper reflects on a number of trends towards a more open and reproducible approach to geographi...
Geocomputation, with its necessary focus on software development and methods innovation, has enjoyed...
This paper reflects on a number of trends towards a more open and reproducible approach to geographi...
All over the world, organizations are increasingly considering the adoption of open source software ...
Over the past decade, open source software has become widely accepted across governments, industries...