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How does arcgis merge multiple attribute fields into one?
Hello, open ArcMap and load data.

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In the table of contents, right-click the point feature to open the attribute table.

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View the field properties of centroid x and centroid y.

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Click on the upper left corner to add a field and create a new field "Center of Mass".

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Right-click the center of mass and select Field Calculator.

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[centroid y]&; [centroid _X]

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Click OK to complete the calculation. Suppose a road network file, merge all the line segments with the same road name into one.

Simple method: arctoolbox Tool-Data Management Tool-Cartographic Synthesis-Fusion, with the road network file as the input element, set the output element class, check the road name in the fusion field, check Create Multi-part Element, uncheck Cancel Line Segmentation and confirm. Merge line segments with the same road name.

The complicated method is to load files in arcmap, open the attribute table, start editing, select by attributes, or sort the road names, select the same road names, start editing, and select merging in the editor, one by one, which is very troublesome. Advantages of ARCGIS: comprehensive and powerful GIS functions, 10 has been launched. Since then, ArcGIS has supported cloud GIS and time GIS, which is really "a mess". At the same time, it is really good to pursue GIS-RS integration. In terms of development, ArcObjects 10 has brought some new functions and better experiences, such as add-ins, graphic trackers, basemap layers and so on. In 3D, the progress of ArcGIS is obvious. It not only improves the data display performance, but also strengthens the ability to create and manage 3D data, enriches and perfects the analysis functions in many 3D environments, and tries to make users feel a 3D GIS that can display and pay attention to powerful analysis functions.

ArcGIS, disadvantages: expensive.

MapGIS, advantages: excellent local GIS, rapid progress and strong innovation ability. Compared with MapGIS 7, the highest version of MapGIS k9 greatly improves the speed of browsing and querying massive data, and can also meet the requirements of users' long-term concurrent access. It can trace the past or predict the future according to the existing data to meet the needs of historical tracing and evolution, cadastral change, environmental change and reference only.