ArcGIS Alternatives for Linux
QGIS, formerly Quantum GIS, is a user friendly open source Geographic Information System (GIS) licensed under the GNU General Public License that runs on Linux, Unix, Mac OSX, and Windows and supports numerous vector, raster, and database formats and functionalities.
- - QGIS is the most popular Windows, Android, Mac & Linux alternative to ArcGIS.
- - QGIS is the most popular Open Source & free alternative to ArcGIS.
Comments about QGIS as a Alternative to ArcGIS
QGIS runs on multiple platforms, has a strong community and is becoming more and more mature. You can do almost everything using QGIS and it integrates very well with GRASS and SAGA for additional power.0
powerfull, stable, userfriendly, beautiful rendering and free.0
The GUI is pretty simple and intuitive and it runs decent on windows (at least as fast as ArcMap), but on GNU/Linux it flies. And since the license is GPL you can use it for different purposes (from educational to research or commercial) without worrying for a sue.0
yes. because for linux this is the only option available.-1
u can do everything in qgis what u can do in ArcGIS but also in QGIS u have full acces to the source code and all is free0
R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider.
R (programming language) Features
Comments about R (programming language) as a Alternative to ArcGIS
Even though this programming language is not specific to spatial data, the vast collection of R packages available for importing, processing, analysing, converting and visualising spatial makes it an excellent alternative that can create fully reproducible processes. Searching "R Spatial" online will bring up a wealth of books, tutorials and resources.0
GRASS GIS (Geographic Resources Analysis Support System) is an open source, free software (FOSS) Geographical Information System (GIS) with raster, topological, vector, image processing, and visualization functionality.
Opinions about GRASS GIS as a Alternative to ArcGIS
PostGIS adds support for geographic objects to the PostgreSQL object-relational database. In effect, PostGIS "spatially enables" the PostgreSQL server, allowing it to be used as a backend spatial database for geographic information systems (GIS), much like ESRIs SDE...
Comments about PostGIS as a Alternative to ArcGIS
While PostGIS can collect GIS data, its primary functionality is that of a database and doesn't provide most of the feature set that ArcGIS has.4
SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a...
SAGA GIS Features
gvSIG is a Geographic Information System (GIS), that is, a desktop application designed for capturing, storing, handling, analyzing and deploying any kind of referenced geographic information in order to solve complex management and planning problems.
MapServer is an Open Source platform for publishing spatial data and interactive mapping applications to the web. Originally developed in the mid-1990’s at the University of Minnesota, MapServer is released under an MIT-style license, and runs on all major platforms (Windows...
bSmart GIS is a web-based GIS application software. It contains over 350 features and tools that can be used for Geo-spatial data management as well as analysis, image processing. For Electricity, Water, Gas, Telecom and Renewable Energy.
Comments about BsmartGIS as a Alternative to ArcGIS
For Electicity, Water and Gas utilities it is more suitable alternative, as it is easy to use and tailor made to the needs of the utilities.0
Beautiful, User Friendly online mapping software that scales to big data.
The MapLarge API enables user-driven, low latency, interactive visual exploration and analysis of very large geospatial and non-geospatial data collections to recognize patterns and identify anomalies. Use.