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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

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A GIS-based interactive map enabling data-driven decision-making in Nigeria's food supply chain.

Divinefavour Odion¹, Kanaha Shoji², Roberta Evangelista³

¹Constructor University Bremen, Campus Ring 1, 28759 Bremen, Germany.

|February 27, 2023

Summary

This study developed an interactive web Geographic Information System (GIS) tool to visualize open-source agricultural data in Nigeria. The tool enhances decision-making for reducing food loss by making crucial fresh produce supply chain information accessible.

Keywords:

Cooling solution Data visualization Fresh produce Google Earth Engine Postharvest supply chain Smallholders Visualizing the potential for sustainable cooling solutions across Nigeria via an interactive web-GIS tool

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Area of Science:

Agricultural Science
Geographic Information Science
Data Science

Background:

Open-source data on fresh food supply chains can inform decision-making for food loss reduction.
Nigeria possesses agricultural and climate data, but accessibility is limited.
Effective visualization tools are needed to leverage existing open-source data.

Purpose of the Study:

To develop an interactive web Geographic Information System (GIS) tool.
To collate and visualize open-source datasets on Nigeria's agricultural sector, focusing on fresh produce supply chains.
To provide actionable insights for stakeholders to drive food loss reduction.

Main Methods:

Acquired and processed diverse open-source data (tabular, vector, raster) into map layers.
Utilized open-source GIS applications and web platforms for data transformation.
Integrated processed data layers onto an interactive web map using the Google Earth Engine platform.

Main Results:

A consolidated interactive web map visualizing key agricultural and supply chain data for Nigeria.
Included datasets cover crop production, market prices, weather, infrastructure, and food security indicators.
The developed methodology is adaptable for creating similar tools in other countries.

Conclusions:

The interactive GIS tool enhances the accessibility and utility of open-source data for fresh produce supply chains in Nigeria.
Improved data accessibility supports informed decision-making to mitigate food loss.
The methodology offers a replicable framework for data visualization in agricultural sectors globally.