Pitney Bowes Mapinfo Pro v16.0 Build 26 (x64) | 836 MB
MapInfo Professional is a full-featured computer mapping and GIS analysis utility that provides a rich set of tools and advanced options for processing geography and topology data and creating detailed, yet intelligible graphical representations, maps and reports.
With a pretty simple layout and comprehesive menus, MapInfo Professional enables you to easily access all the options from its main GUI. Its main purpose is increasing the efficiency of infrastructure using and optimizing the process of taking decisions.
Its importing capabilities allows you to process data gathered from spreadsheet applications, databases and CSV files, as well as raster and grid images. Additionally, it supports ODBC and FDO connections, as well as files imported from other CAD software. The built-in catalog browser grants you access to geospatial data downloaded from online resources, while the application allows WMS or WFS table extraction.
The generous toolbox you have at hand includes multiple CAD tools that you can work with, including various drawing instruments (basic geometrical shapes, text boxes, lines and so on).
It allows you to manage layers for each loaded table from the designated section, organize and manipulate objects, symbols, regions, points and lines, edit data content, assign labels or generate map legends or scale bars. Also, it can highlight important territories, areas or points, as well as run SQL queries for loaded databases and generate statistics reports.
You can handle data records directly in map view, in a graph or in table view. The latter option should pose no problem to those who worked with spreadsheet programs, while the graph mode is used for visually displaying statistical connections.
MapInfo Professional can handle thematic and prism maps and features advanced zooming and map scaling options. Its enhanced rendering capabilities help you create high-quality GIS imagery, graphs and plans, ready for presentations or publishing.
With its help, you can transform complex data sets with geographical components into graphical representations, much more comprehensible and accesible to an audience.
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