References
Council of Europe. 2015. "The Celebration of Linguistic Diversity: The Human Condition." European Day of Languages. Accessed 3/2/2016.
Greenberg, Joseph H. 1956. "The Measurement of Linguistic Diversity." Language, Vol. 32, No. 1 (Jan. - Mar., 1956), pp. 109-115. Accessed 3/2/2016.
Kennedy, Susan. 1989. "The small number problem and the accuracy of spatial databases." Chapter 16 in The Accuracy of Spatial Databases, Goodchild and Gopal, editors. New York: Taylor & Francis. Accessed 3/2/16.
Kimerling, A. Jon, Aileen R. Buckley, Phillip C. Muehrcke, and Juliana O. Muehrcke. Forthcoming. Map Use: Reading, Analysis, Interpretation , Eighth Edition. Redlands, CA: Esri Press.
UNESCO. 2009. "Investing in Cultural Diversity and Intercultural Dialogue." UNESCO World Report. Accessed 3/2/2016.
Ward, Rachel. 2015. "More than 100 languages are spoken in Edmonton, with non-English homes mostly in the north and south." Edmonton Journal, Entertainment section, August 2, 2015. Accessed 3/2/2016. .
Photo Attribution
Linguistic diversity | Linguistic diversity in Swiss Cottage - geograph.org.uk - 485784 by ceridwen. Licensed under CC BY-SA 2.0 via Wikimedia Commons |
Serbian food | Serbian Pavilion by profernity. Licensed under CC BY-SA 2.0 via Wikimedia Commons |
Mexican dancers | Heritage Festival Edmonton Mexico dancers. Licensed under Public Domain via Wikimedia Commons |
Data Attribution
Mother Tongue languages | Obtained from Business Analyst Online. Also available from ArcGIS Online. |
Edmonton Neighborhoods | Obtained from OpenData Edmonton, City of Edmonton - Neighborhood Boundaries. |
Summary of tools
This case study demonstrates a number of analytical methods that can be adapted to many different application areas, allowing you to answer a variety of questions.
| Method | Generic Question | Examples |
|---|---|---|
Hot Spot Analysis of feature attributes. | Where do high and low values cluster together? | Where are the statistically significant clusters of linguistic diversity, poverty, unemployment, wealth, beer drinkers, lead levels, or college graduates? |
Which features have the characteristics I'm interested in? | Which neighborhoods have suppressed data? Which districts have more than 50,000 people and median annual incomes larger than $50,000? Which hospitals have readmission rates larger than 10 percent? | |
How do the features in one dataset overlap spatially with the features in another? | Where do residential neighborhoods overlap with the flood plain? Which areas are claimed by both countries? Which forests fall within the proposed development areas? |
In addition, you used several geometry functions including Create Random Points, Create Thiessen Polygons, and Eliminate. You also used data manipulation and management tools including Add Field, Calculate Field, Join Field, and Merge.
Learn more
A number of resources are available to help you learn more about the analyses demonstrated in this case study:
- What is spatial analysis in ArcGIS?
- Spatial Statistics resources
- Learn more about hot spot analysis
- Spatial Data Mining I: Essentials of Cluster Analysis
- Spatial Data Mining II: A Deep Dive Into Space-Time Analysis
- Feature Overlay
- Combining Data
- Performing analysis with ArcGIS Online
The resources below include guidelines and best practices for building custom model and script tools: