Discover Spatial Basics

Overview

Through short lessons, practical examples, and hands-on decision-making activities, this course introduces the core ideas behind spatial thinking and Geographic Information Systems (GIS). You’ll learn how to recognize spatial patterns, understand how location adds meaning to data, and explain foundational spatial concepts clearly to non-GIS teammates. The course emphasizes why spatial thinking matters, not just what GIS tools do, helping you connect maps, data, and decisions in real-world contexts. As you work through guided scenarios and interactive labs, you’ll practice evaluating spatial problems, making informed choices, and reflecting on how GIS supports decision-making across industries such as urban planning, public health, environmental management, and business operations. You’ll also explore common GIS workflows, data types, and use cases at a conceptual level—no prior GIS experience required. By the end of the course, you’ll have a solid conceptual foundation in spatial thinking, increased confidence discussing GIS concepts with diverse stakeholders, and the ability to make and communicate basic, evidence-based GIS decisions in professional settings.

Syllabus

Why Maps Need a Reference System

In this lesson, you are introduced to the foundational idea that maps require a reference system to represent the Earth accurately. They will explore what coordinate reference systems are and why components such as datums and projections are necessary. Using familiar map examples, learners will build an understanding of how projecting a three-dimensional Earth onto a flat surface introduces distortion, setting the stage for clear explanations of common issues such as area distortion in Web Mercator maps.

How Spatial Data Is Represented

This lesson focuses on how geographic information is stored and represented digitally. Learners will examine the two primary spatial data structures, vector and raster, and understand how each models real-world features differently. Through practical comparisons, learners will develop the ability to distinguish between these data types and recognize how the choice of data structure affects mapping tasks such as visualizing population density.

Where GIS Is Used in the Real World

In this lesson, you explore how GIS is applied across a range of industries and problem domains. They will review real-world examples to see how spatial data supports decision-making in areas such as urban planning, environmental management, public health, and business. By the end of the lesson, learners will be able to identify common industry applications of GIS and recognize where spatial thinking adds value beyond traditional data analysis.