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Book (stand-alone)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. -
Book (stand-alone)Agro-informatics Platform
Application programming interface: everything you need to know
2025Also available in:
No results found.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. -
Book (stand-alone)Agro-informatics Platform
Data and metadata publication workflow
2025Also available in:
No results found.This guide introduces the FAO Data Catalog and explains the workflows that support dataset management and publication within the Agro-informatics Platform. The Data Catalog is the backbone of the platform: it organizes, stores, and publishes datasets and their metadata, making them accessible to users across the globe. Built on the CKAN open-source system, the Data Catalog allows organizations, governments, research institutions, and other partners to share data in a structured and transparent way. By exploring this guide, you will learn what the Data Catalogue is, how datasets are structured, and how organizations and groups manage and publish their information. It walks you through the processes of user registration, dataset creation, metadata management, review, and publication, ensuring that data is reliable, discoverable, and easy to use.Understanding how the Data Catalog works is essential if you plan to publish datasets, manage organizational data, or collaborate with partners on the platform. It will also help you adopt best practices for dataset naming, metadata description, and organizational management, ensuring that your contributions are consistent and accessible to others. Acquiring the information in this guide will enable you to make the most of the Data Catalog – whether you are a data provider ensuring quality and accuracy, or a data user searching for relevant resources to support analysis, research, and decision-making in agriculture and rural development.
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