Agriculture Analysis of 4 Crops using GIS - Lesson

 A new and improved agriculture spatial analysis lesson is on:" target="_blank" rel="nofollow">

In this activity, you will analyze soybeans, cotton, wheat, and corn grown in
the USA in a spatial context within a Geographic Information Systems (GIS)
environment, and consider some global connections.

This lesson and data can be used in secondary, university, and informal
educational settings.

I posted it last month but have just improved both the data and the questions.
Plus, I received some wonderful suggestions from Dr Phil Gersmehl which I incorporated.

ArcGIS 9.3, from ESRI.

(1) Agriculture data from the Agriculture Census of the USA, 2002.
(2) Climate data from the Natural Resources Conservation Service (NRCS) and the Spatial Climate Analysis Service at Oregon State University (OSU).
(3) Base layers (states, rivers, roads, lakes, from ESRI, Inc.

Content Involved
Agriculture, climate, physical geography, cultural geography, mathematics.

Skills Involved
Connecting everyday experiences to agriculture, changing map symbology, attribute queries, spatial queries, sorting and ranking, changing scales, analyzing spatial patterns.

The US Department of Agriculture has heard about your extensive skills in GIS and spatial analysis, and has hired you to investigate the patterns of 4 crops as part of its National Crop Assessment Program (NCAP). They would like you to produce a report with the results of investigating the following question: What are the cultural and physical geographic reasons for the spatial distribution, spatial patterns, and the amount of soybeans, cotton, wheat, and corn grown in the USA?

I hope it is useful!

Joseph Kerski
Joseph J. Kerski, Ph.D
Education Manager
Environmental Systems Research Institute, Inc.- ESRI
1 International Court
Broomfield CO 80021-3200 USA
V: 303-449-7779 x 8237
F: 303-449-8830
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