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Agro-informatics Platform
How to use shapefiles
2025Also available in:
No results found.This guide explains how to display and analyse an ESRI shapefile on the FAO Agro-informatics Platform. Shapefiles are widely used in geographic information systems (GIS) to represent boundaries, regions, or other spatial features. By uploading a shapefile, you can bring your own geographic data into the platform and combine it with existing datasets for tailored analysis. Once displayed, your shapefile can be used to explore land cover, agricultural resources, or other thematic datasets available on the platform. This functionality allows you to visualize custom administrative units, project areas, or research zones, and to perform analysis – such as land-cover composition or statistical summaries – directly within your chosen boundaries. Using shapefiles in this way is particularly valuable for researchers, policymakers, and practitioners who need to analyse data for non-standard geographic areas, compare regions not included in default datasets, or integrate local knowledge into larger geospatial studies. It supports more precise, localized insights that can inform decision-making, monitoring, and planning. -
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. -
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.
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