Struggling to choose between gvSIG Desktop and Global Mapper? Both products offer unique advantages, making it a tough decision.
gvSIG Desktop is a Education & Reference solution with tags like opensource, gis, geospatial, mapping.
It boasts features such as Viewing and editing vector and raster data, Advanced geoprocessing and analysis tools, 3D visualization and analysis, Geospatial database connection and management, Layout creation and printing, Scripting and automation and pros including Free and open source, Cross-platform compatibility, Supports many data formats and databases, Powerful analysis and geoprocessing tools, Active user and developer community.
On the other hand, Global Mapper is a Office & Productivity product tagged with geospatial, mapping, data-visualization.
Its standout features include View, edit and convert geospatial data, Support for a wide range of raster and vector formats, Terrain analysis and 3D visualization, Georeferencing and coordinate system transformations, Advanced digitizing and editing tools, Spatial analysis and modeling, Network analysis tools, Scripting and automation capabilities, and it shines with pros like Very versatile and supports many data formats, User-friendly and easy to use interface, Powerful analysis and data processing capabilities, Good value for money compared to other GIS software.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
gvSIG Desktop is an open source geographic information system (GIS) software for working with geospatial data. It offers tools for viewing, editing, analyzing, and publishing geospatial information.
Global Mapper is a versatile GIS (Geographic Information System) software application used for viewing, editing, analyzing, and converting geospatial data. It supports a wide range of raster and vector data formats allowing easy integration of spatial data.