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Cedge Learn offers a wide range of specialized courses in network security, geographic information systems, agile methodologies and many other emerging technologies.
This learning pathway introduces the fundamental concepts and techniques of data visualization in GIS, aligned with the USGIS Ebk 3 standards for beginner level learners. You will gain a practical understanding of how to effectively communicate spatial information through maps, charts, and other visual representations. These modules will cover essential data visualization principles, common visualization methods, and the use of GIS software to create compelling and informative visualizations. You will develop the skills to select appropriate visualization techniques, design effective visual representations, and interpret and analyze visualized data for informed decision-making.
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This module provides an overview of data visualization principles, including the purpose, goals, and elements of effective visualization. It covers the role of data visualization in GIS and explores the different types of visualizations used to communicate spatial information.
This module introduces various map types commonly used in GIS, such as thematic maps, reference maps, and choropleth maps. It explores the concepts of map symbology and how to effectively represent data using different symbols, colors, and patterns.
This module explores the use of charts and graphs to visualize spatial data effectively. It covers common chart types, such as bar charts, pie charts, line graphs, and scatterplots, and demonstrates how to use them to represent spatial trends and relationships.
This module focuses on techniques for exploring and analyzing spatial data through visualization. It covers data aggregation, spatial filtering, and data classification methods to identify patterns, trends, and relationships within datasets.
This module introduces the concept of interactive data visualization in GIS, where users can interact with maps, charts, and other visual representations to explore data in a dynamic way. It explores techniques such as map zooming, panning, and filtering to enhance data exploration.
This mofulr introduces various GIS software and tools used for data visualization. It covers the functionalities of popular GIS platforms such as ArcGIS, QGIS, and Google Earth, emphasizing their capabilities for creating and sharing visualizations.
This module emphasizes the importance of clear communication and best practices for creating effective data visualizations. It covers principles such as visual clarity, color selection, labeling, and map design to ensure visualizations are easily understood and interpreted.
This topic guides students on creating and sharing their visualizations. It covers exporting visualizations in various formats, including images, maps, and web-based applications. It also explores options for sharing and distributing visualizations to a wider audience.
