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ArcGIS Pro

Creating Heatmaps in ArcGIS Pro: A Step-by-Step Guide

Creating Heatmaps in ArcGIS Pro: A Step-by-Step Guide

Introduction to Heatmaps:

  • Heatmaps are visual tools that use color gradients to represent the density or intensity of attributes across geographical areas.
  • They are instrumental in identifying spatial patterns and trends.

Understand Kernel Density Estimation:

  • ArcGIS Pro employs kernel density estimation for heatmap creation.
  • This method calculates point density in an area using a kernel function.
  • Density values are then depicted on a color scale, with warmer colors showing high density and cooler ones indicating low density.

Preparing Your Data:

  • For this guide, consider a dataset, for instance, one that details crashes in a city over a year.
  • Ensure your dataset has relevant details like date, time, location coordinates, and other pertinent attributes.

Initiating the Heatmap Creation:

  • In ArcGIS Pro, select the dataset layer you wish to visualize.
  • Navigate to the ‘Feature Layer’ tab.
  • Choose the ‘Symbology’ option.
  • From the dropdown, select ‘Symbolize your layer by density’.
  • Click on the ‘Heatmap’ option.

Customizing the Heatmap:

  • Once the basic heatmap is generated, you can customize its appearance:
  • Color Scheme: Choose a color gradient that suits your data and presentation. This gradient will help in identifying areas of varying densities.
  • Dynamic Density Calculation: Opt for the ‘Dynamic’ method if you want the software to recalculate densities as you zoom in or out. This is useful for detailed inspections of specific areas.
  • Radius of Influence: Adjusting this parameter changes the continuity of the heatmap. A smaller radius might make the map less continuous, while a larger one smoothens it out.
  • Transparency: Increase the transparency level if you wish to view underlying base maps. This can help in identifying specific localities or features beneath the heatmap.

Interpreting the Heatmap:

  • Analyze the heatmap to identify potential patterns or anomalies.
  • For a more detailed analysis, consider overlaying additional GIS layers on the heatmap. This can provide added context and deeper insights.

Weighted Heatmaps for Enhanced Insights:

  • If your dataset has specific attributes that you believe should influence the heatmap’s intensity (e.g., number of casualties in a crash dataset), you can use them as weights.
  • Navigate to the ‘Weight Field’ and select the attribute you wish to use as a weight.
  • The software will recalculate densities based on this weight, giving more importance to points with higher attribute values.

Finalizing and Analyzing:

  • Once satisfied with your heatmap, you can save and share it.
  • Use the heatmap to derive insights, identify patterns, and make informed decisions based on the visualized data.

Frequently asked questions about heatmaps in ArcGIS Pro

  1. Basics and Understanding:
  • What is a heatmap and why is it useful?
    • A heatmap is a graphical representation of data where individual values are represented as colors. The varying shades or colors indicate the value or density of occurrences. It’s useful because it provides a visual summary of information, making it easier to identify patterns, trends, and outliers within large datasets.
  • How does kernel density estimation work in the context of heatmaps?
    • Kernel density estimation (KDE) is a method used to estimate the probability density function of a variable. In heatmaps, KDE calculates the density of points in a given area. Each point is “smoothed” using a mathematical function (the kernel), and the resulting values are used to generate the heatmap’s color gradient.
  1. Data Preparation:
  • What type of data is suitable for creating heatmaps?
    • Spatial data with point locations is ideal for heatmaps. This could be data on events, occurrences, or attributes associated with specific geographic coordinates.
  • How should I format or clean my data before importing it into ArcGIS Pro?
    • Ensure data is free from duplicates or errors. It should be in a format compatible with ArcGIS Pro, like shapefiles or geodatabases. Attributes should be clearly labeled, and any irrelevant data should be removed.
  1. Customization and Visualization:
  • How can I change the color scheme of my heatmap to better represent my data?
    • Within ArcGIS Pro, under the symbology settings of your heatmap layer, you can select from various predefined color ramps or create a custom one that best represents your data.
  • What does the ‘radius of influence’ mean, and how does adjusting it affect my heatmap?
    • The radius of influence determines how far out from each point the kernel function will have an effect. A larger radius results in a smoother heatmap, while a smaller radius produces a more localized and detailed heatmap.
  1. Interpretation and Analysis:
  • How do I read and interpret the color gradients on my heatmap?
    • The color gradient represents data values or densities. Typically, warmer colors (like red) indicate higher values or densities, while cooler colors (like blue) indicate lower values. The legend or color bar will provide specific value ranges for each color.
  • Can I use heatmaps to identify specific patterns or anomalies in my data?
    • Yes, heatmaps visually highlight areas of high and low density, making it easier to spot patterns, trends, or anomalies.
  1. Weighted Heatmaps:
  • What is a weighted heatmap, and when should I use it?
    • A weighted heatmap gives different points varying levels of importance based on an associated attribute. It’s useful when certain data points have more significance than others, like accidents with more casualties.
  • How do I select and apply weights to my heatmap in ArcGIS Pro?
    • In the heatmap symbology settings, there’s an option for ‘Weight’. Here, you can select the attribute you want to use as a weight, and the software will adjust the heatmap accordingly.
  1. Performance and Troubleshooting:
  • Why is my heatmap not displaying correctly or appearing blank?
    • This could be due to various reasons: the data might not be loaded correctly, the symbology settings might be inappropriate, or there might be software rendering issues. Check your data source, symbology settings, and consider restarting ArcGIS Pro.
  • Are there any limitations to the amount of data I can use to create a heatmap?
    • While ArcGIS Pro can handle large datasets, performance might be affected with extremely large datasets. It’s advisable to work with optimized and relevant data subsets when possible.
  1. Sharing and Exporting:
  • How can I share my heatmap with colleagues or stakeholders?
    • ArcGIS Pro allows you to share your heatmap as a web layer, package, or print it directly. You can also export it as an image or PDF for presentations or reports.
  • In which formats can I export my heatmap for use in presentations or reports?
    • Common formats include JPEG, PNG, TIFF, and PDF.
  1. Advanced Techniques:
  • Can I integrate time-based data to create a time-lapse heatmap?
    • Yes, ArcGIS Pro supports time-enabled layers, allowing you to create time-lapse visualizations, including heatmaps.
  • How can I combine multiple datasets or attributes in a single heatmap?
    • You can use the ‘Blend’ or ‘Overlay’ functions in ArcGIS Pro to combine multiple datasets. Alternatively, you can create a new attribute that combines the values of interest and base your heatmap on that.
  1. Updates and Support:
  • Are there any new features or updates related to heatmaps in the latest version of ArcGIS Pro?
    • ArcGIS Pro regularly releases updates with new features and improvements. It’s best to check the official release notes or the ArcGIS website for the latest information.
  • Where can I find tutorials or support if I encounter issues while creating heatmaps?
    • The ArcGIS website offers a range of tutorials, forums, and documentation. Additionally, there are many online communities, blogs, and courses dedicated to ArcGIS Pro techniques and troubleshooting.

About the Author
I'm Daniel O'Donohue, the voice and creator behind The MapScaping Podcast ( A podcast for the geospatial community ). With a professional background as a geospatial specialist, I've spent years harnessing the power of spatial to unravel the complexities of our world, one layer at a time.