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ArcGIS is a family of client, server and online geographic information system (GIS) software developed and maintained by Esri. ArcGIS was first released in 1982 as ARC/INFO, a command line-based GIS. ARC/INFO was later merged into ArcGIS Desktop, which was eventually superseded by ArcGIS Pro in 2015. [8]
ArcMap is the former main component of Esri's ArcGIS suite of geospatial processing programs. Used primarily to view, edit, create, and analyze geospatial data. ArcMap allows the user to explore data within a data set, symbolize features accordingly, and create maps.
Furthermore, it currently is only available for use with ArcGIS version 10.4 (Current version is 10.6). As part of a major effort to modernize Hazus, a number of updates are in progress. In late 2014, an update was released to bring Hazus up to compatibility with ArcGIS 10.2.2 and Windows 8.
ArcGIS Pro is desktop GIS software developed by Esri, which replaces their ArcMap software generation. [1] The product was announced as part of Esri's ArcGIS 10.3 release, [ 2 ] ArcGIS Pro is notable in having a 64 bit architecture, combined 2-D, 3-D support, ArcGIS Online integration and Python 3 support.
ArcGIS Server is the core server geographic information system (GIS) software made by Esri. ArcGIS Server is used for creating and managing GIS Web services, applications, and data. ArcGIS Server is typically deployed on-premises within the organization’s service-oriented architecture (SOA) or off-premises in a cloud computing environment. [2]
A GIS software program is a computer program to support the use of a geographic information system, providing the ability to create, store, manage, query, analyze, and visualize geographic data, that is, data representing phenomena for which location is important.
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This is a comparison of notable GIS software. To be included on this list, the software must have a linked existing article. The selection of GIS software is a non-trivial task typically undertaken at project commencement. The use of appropriate selection criteria and methodology can be critical to a project's success, with considerations including outlay costs, ease of use, data and system ...