Going Places with
Spatial Analysis

Next offering: 2018 (dates TBD)

Gain a deeper understanding of spatial data analysis.

This course is for people who know something about data analysis and want to learn how the special capabilities of spatial data analysis provides deeper understanding. You'll get free access to the full analytical capabilities of ArcGIS Online, Esri's cloud-based GIS platform. Previous experience with GIS software is helpful but not necessary.


Understand why location really matters in a wide range of business and policy decisions

Understand some of the distinguishing characteristics that make spatial data special

Learn how to identify and describe uses of several spatial analysis techniques

Gain hands-on experience with authentic spatial analysis workflows in a cloud-based mapping environment


Hands-on exercises, short video lectures, quizzes, case studies, and discussion

Six week course, one–two hours of study per week

Certificate of completion and awards


Section 1

Going Places with Spatial Analysis

Consider the special characteristics and value of spatial data and analysis, and then get started with ArcGIS Online.

Section 2

Understanding and Comparing Places

Watch brief lectures about fundamental topics like queries, scale of analysis, descriptive statistics, and projection. Query a layer and sum attributes to make a map showing the best locations for new mixed-use development.

Section 3

Determining How Places Are Related

Learn about vector overlay, the modifiable areal unit problem, and normalizing data for choropleth mapping. Use ArcGIS Online to analyze watersheds for water quality monitoring, and summarize the number of streetlights in a city’s maintenance assessment district.

Section 4

Finding the Best Locations and Paths

Discuss topology, site suitability, cost paths, and other key concepts. Find suitable sites for a grocery distribution center and preferable areas for cougar habitat using ArcGIS Online.

Section 5

Detecting and Quantifying Patterns

Lecture topics include density surfaces, spatial autocorrelation, and spatiotemporal analysis. Use density and hot spot analyses to visualize patterns of personal and property crimes.

Section 6

Making Predictions

Learn about spatial interaction, regression, surface analysis, and interpolation. Use ArcGIS Online to interpolate sample points and make a map showing areas at risk of long-term poor air quality.