> For the complete documentation index, see [llms.txt](https://docs.landscale.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.landscale.org/assessment-guidelines/step-c/visualize-and-interpret-results.md). # Visualize and interpret results Following data collection and processing, the next step is to develop meaningful visualizations and provide clear interpretation of results. This enables end users to better understand the significance of the LandScale assessment findings. ### Upload visual elements Visualizations translate raw data into accessible insights, revealing trends, patterns, and key messages that may not be obvious from numerical data alone. Well-crafted visuals support effective communication of complex information to a broad audience, regardless of technical expertise. The assessment team may upload a range of visual elements, such as: * Charts and graphs. * Infographics. * Maps. These visuals will appear alongside the respective results once they are validated as a part of Step C. {% hint style="info" %} **Recommended visualization types** Visualization types should be selected based on the nature of the data and the insights to be conveyed: * **Bar charts:** Compare quantities across categories or groups. * **Line graphs:** Illustrate trends or changes over time. * **Pie charts:** Display proportions or percentages within a whole. * **Heat maps:** Visualize data density or spatial concentration. * **Scatter plots:** Show relationships between variables. * **Histograms:** Present the distribution of data. * **Infographics:** Integrate multiple visuals into a cohesive narrative. * **Geographic maps:** Display data with spatial or location-based components. The selected format should effectively represent the data and emphasize key messages. {% endhint %} ### Summarize insights and interpretations Summarizing results is essential to support understanding—particularly for audiences unfamiliar with the landscape context. Summaries should be concise, accessible, and technically accurate. Key elements to consider include: * **Key trends:** What notable patterns or changes were observed in the data? * **Comparative findings:** How do results vary across metrics or areas? * **Performance indicators:** What do the results reveal about progress or challenges? * **Stakeholder relevance:** Why might these results matter to different stakeholder groups? A thoughtful combination of visualizations and clear interpretation increases the value, clarity, and usability of the LandScale assessment.

Example of insights and interpretations derived from a result.

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