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Agro-informatics Platform

How to use shapefiles








Marini, F. 2025. Agro-informatics Platform   How to use shapefiles. Rome.


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    This guide introduces you to the process of performing land-cover analysis using the FAO Agro-informatics Platform. Land-cover analysis allows you to examine how different types of land use and land cover – such as forests, croplands, water bodies, and urban areas – are distributed within a specific geographic area. By visualizing and quantifying these patterns, you can better understand the environmental and agricultural context of a region. Through this guide, you will learn how to add relevant datasets, define areas of interest, and generate visual outputs such as pie charts and tables that summarize the composition of land cover in your selected area. The platform also enables you to download and further explore these results for use in research, planning, and decision-making. Whether your goal is to assess natural resources, support sustainable agricultural planning, monitor land-use change, or inform policy, this guide will provide you with a clear framework to get started. It is designed to give you a practical, step-by-step pathway to carry out your first land-cover analysis and explore the insights such analysis can bring.
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    This guide provides a clear and accessible overview of application programming interfaces (APIs) and their role within the FAO Agro-informatics Platform. APIs are the backbone of digital communication between applications, enabling the exchange of data and services across systems. Every time you retrieve, visualize, or integrate information on the platform, APIs are at work behind the scenes. By reading this guide, you will understand what an API is, how it functions, and why it is central to the design of the Agro-informatics Platform. You will also learn about the different types of APIs – such as REST and SOAP – and the standard protocols that ensure smooth integration of diverse datasets, including those from external sources. Acquiring this knowledge is especially useful for users who want to go beyond the surface of the platform: developers aiming to connect their own datasets, analysts integrating external services, or practitioners who simply want to understand how the platform brings together information from multiple sources. Ultimately, this guide will help you see how APIs make the Agro-informatics Platform more than a static tool – it is a dynamic hub for interoperable data, enabling stronger analysis, collaboration, and innovation.
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    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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