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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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What you will learn
Introduction to Data Visualization
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.
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- Introduction to Data Visualization
- Types of Visualizations
- Principles of Effective Visualization
- Data Visualization in GIS
Map Types and Symbology
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.
- Map Types
- Map Projections
- Symbology and Data Representation
- Creating Thematic Maps
Charting Spatial Data
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.
- Introduction to Charts and Graphs
- Common Chart Types for Spatial Data
- Creating Charts and Graphs in GIS
- Interpreting Chart Data
Data Exploration and Analysis
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.
- Data Aggregation and Summarization
- Spatial Filtering and Selection
- Spatial Filtering and Selection
- Data Classification Methods
- Analyzing Visualized Data
Interactive Visualization
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.
- Interactive Mapping Concepts
- Map Zooming and Panning
- Interactive Filtering and Selection
- Creating Interactive Visualizations
Data Visualization Tools and Software
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.
- GIS Software for Data Visualization
- ArcGIS for Visualization
- QGIS for Visualization
- Google Earth for Visualization
Data Visualization Best Practices
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.
- Principles of Visual Clarity
- Color Selection and Contrast
- Labeling and Annotation
- Map Design Best Practices
Creating and Sharing Visualizations
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.
- Exporting Visualizations
- Sharing Visualizations Onlin
- Web Mapping Applications
- Creating Interactive Visualizations