Related items
Showing items related by metadata.
-
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
How to perform time-series analysis
2025Also available in:
No results found.This guide introduces you to the process of performing time-series analysis on the FAO Agro-informatics Platform. Time-series analysis allows you to track how data evolve over time within a defined area, helping you identify patterns, trends, and changes that may not be visible in a single snapshot. By comparing data across different years or periods, you can gain valuable insights into long-term developments and their implications for agriculture, land use, and natural resources. With this guide, you will learn how to add datasets, select areas of interest, and generate time-series charts that display variations in key indicators over time. The platform also enables you to compare multiple areas, view data in tabular format, and sort results to better understand the dynamics at play. Whether your aim is to monitor land-use changes, evaluate the effectiveness of agricultural policies, assess the impact of climate variability, or support planning for sustainable development, time-series analysis provides a robust framework for evidence-based decision-making. This guide will help you take your first steps in applying these tools effectively on the platform. -
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.
Users also downloaded
Showing related downloaded files
No results found.