GEOG 506 Spatial Statistics

GIS practitioners must be able to identify, describe, and present spatial data. Mathematical analysis is an essential skill set for data scientists. Coupling mathematical and spatial analysis will allow geographers to identify and highlight key facts and patterns relevant to human, environmental, and human-environmental interactions.

Course Requirements Checklist

After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.

Discussions (5)

Discussions are collaborative learning experiences. Therefore, the student is required to provide a thread in response to the provided prompt for each Discussion. Each thread must be 300 words and include at least 1 scholarly citation. In addition to the thread, the student is required to reply to 2 other classmate’s thread. Each reply must be 150 words.

Reflection Journal Assignments (2)

Reflection Journals give the student the opportunity to critically review the concepts learned throughout the course, and their application towards the final project.

Regression Analysis for Spatial Problems Assignment

The student will complete a lab assignment on regression analysis, creating a final report including factors involved and value of the analysis, while including scatterplot, T-Test, residuals, Z-scores, significance, and R-Squared models/data.

Scholarship Critique Assignment

The student will be providing a review that evaluates the content and context of a selected article, providing careful analysis of the work in a short, critical essay.

Final Project Assignments (5)

The student will complete a multi-module Final Project.

Pick a Study Area

The student will identify the parameters of their final project (state, observation locations, etc).

Geostatistical Models

The student will complete multiple exercises to assist in preparing their project surface, and beginning their analysis.

Kriging

The student will complete multiple exercises to assist in mapping, comparing models, and applying the kriging technique.

Create a Map

The student will create a map, using ArcGIS, that demonstrates how geostatistics can be used to predict data values in areas where measurements have not been taken.

Cartographic Report

The student will develop a series of maps showcasing the application of geostatistics in predicting data values in regions lacking direct measurements. The student will incorporate diverse subjects such as snowfall, rainfall, wind speed, and temperature. The student will ensure the inclusion of multiple areas to illustrate these predictions effectively. The final output should be professionally executed, accurate, and thoroughly cited.

Quizzes (12)

The student will complete 12 quizzes regarding the information from the Triola text.