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Book (stand-alone)Agro-informatics Platform
How to perform deviations from averages analysis
2025Also available in:
No results found.This guide introduces you to the process of performing deviations from averages analysis on the FAO Agro-informatics Platform. This type of analysis allows you to examine how data in a specific area diverge from long-term averages or baseline values, making it easier to detect anomalies, unusual patterns, or significant changes over time. By using this tool, you can explore whether a region is experiencing conditions above or below expected norms, for example in terms of agricultural production, land cover, or environmental indicators. Such insights are essential for identifying risks, assessing resilience, and supporting timely responses in areas affected by climate variability, resource stress, or policy shifts. Through this guide, you will learn how to add datasets, define or upload your area of interest, and generate charts that highlight deviations from average conditions. The results can be customized, visualized, and downloaded, providing a practical framework for research, monitoring, and decision-making. Whether your objective is to monitor agricultural stability, detect early signs of stress, or evaluate long-term changes against historical baselines, deviations from averages analysis offers a valuable perspective to support data-driven strategies. -
Book (stand-alone)Agro-informatics Platform
How to use the time function
2025Also available in:
No results found.This guide introduces the time function of the FAO Agro-informatics Platform. The time function allows you to explore how data points evolve over a selected period, making it possible to analyse temporal dynamics directly on the map. By enabling or disabling the time dimension, you can either view all available data points at once or focus on specific time intervals to better understand change over time. This feature is particularly useful for datasets that include point-based information – such as agricultural observations, climate-related records, or socioeconomic indicators – where understanding when events occur is as important as where they occur. With the time function, you can trace developments, identify trends, and assess variations across different timeframes. Using this functionality can support monitoring, research, and planning activities. For example, it can help identify seasonal cycles, detect anomalies, or evaluate the impact of interventions over time. The time function thus provides a dynamic and flexible way to connect spatial data with temporal insights, enhancing evidence-based decision-making. -
Book (stand-alone)Agro-informatics Platform
How to create and share a story
2025Also available in:
No results found.This guide introduces the story feature of the FAO Agro-informatics Platform, which allows you to create interactive narratives based on geospatial data. A story is a sequence of captured scenes from the platform – such as maps, datasets, and visualizations – combined to guide viewers through a specific theme, trend, or analysis. By creating a story, you can move beyond static maps and transform data into a visual journey that highlights key insights. You can compare different time periods, showcase geographic patterns, or illustrate the impact of certain changes with clarity and context. Each scene preserves the exact map view and data configuration, enabling you to structure your analysis as a step-by-step narrative. Stories are particularly useful for communication and collaboration. They allow researchers, policymakers, and practitioners to share findings with colleagues, stakeholders, or the public in a clear and engaging format. Instead of providing raw data, you can tell a story that explains why the data matter and what they reveal about agriculture, land, or socioeconomic dynamics. Through this guide, you will learn how to capture, edit, and share scenes to build your own story. This functionality supports evidence-based dialogue, capacity development, and advocacy by turning complex geospatial analysis into accessible narratives that inform action.
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