ArcGIS Pro allows the creation of charts using tabular data, whether the table is linked to a vector dataset (such as shapefiles) or stands alone. This functionality is particularly useful for analyzing trends and comparing variables over time or between categories.
For example, the file named “data_temp_rain.csv” located in the folder “13_2_chart” can be added by navigating to Map > Add Data > Data. This file contains three fields: date, temperature, and precipitation. Once added to the map, right-clicking the table in the “Contents” panel and selecting “Open” will display the table’s content.
Configuring a Bar Chart
To create a chart, right-click on the table and choose “Create Chart.” ArcGIS Pro provides several chart types including Bar Chart, Pie Chart, Line Chart, Histogram, Box Plot, Matrix Heat Chart, and QQ Plot. When creating a bar chart, select “Bar Chart” and configure the parameters in the properties panel.
In the “Category or Date” section, the “DateTime” field is selected. Since precipitation is a cumulative variable, the “Aggregation” method should be set to “Sum.” In the “Numeric field(s)” section, the variable “Rain” is chosen. Users are encouraged to explore the customization options, such as modifying the title, axis labels, and colors, to adapt the chart to their specific needs.
Creating a bar chart in ArcGIS Pro.
Creating Additional Chart Types
Different types of charts can also be created from the same table. For instance, a line chart can display the average daily temperature, offering a clear view of temperature fluctuations over time. Another example is a temperature calendar chart, which helps to identify the warmest and coldest hours of each day throughout the week.
Charts were generated using a date variable and a numeric variable.
These visualizations make temporal patterns more accessible and understandable, especially when the patterns are not immediately evident in spatial maps. Such charts are valuable for enhancing the communication of spatiotemporal data, particularly when presenting results to audiences who may not have technical backgrounds.