SYLLABUS FOR GEO4164 (Geostatistics)
Dr. Zhiyong Hu zhu@uwf.edu
Phone: 474-3494
Lecture: Tu, Th 9:00 – 10:00 Location: 13/221
GIS Lab (13/216)
Office hour: Tu, Th 11:10-12:10
Office: 13/217 –
Lab: 10:00 -11:10 Location:
COURSE DESCRIPTION
This course introduces the techniques and concepts of statistics in human and physical
geography. Unlike the elemental statistics course (STA 2023) you have taken that glosses over
the conceptual foundations and focus solely on method, the course explains not only how to
apply quantitative tools but also why and how they work. Students gain important skills for
utilizing both conventional and spatial statistics in their own research, as well as for critically
evaluating the work of others. Emphasis is on spatial statistics, including displaying and
interpreting spatial data, descriptive statistics for spatial data, geographic sampling, correlation
and regression, spatial regression, geographically weighted regression, point pattern analysis,
spatial autocorrelation, and local indicators of spatial association.
COURSE OBJECTIVE
After students complete the course, they are expected to be able to
- explore spatial data using various visualization methods;
- interpret the distribution of spatial data;
- describe various central and dispersion tendency of spatial data;
- generate a sample of data for field data collection over the geographic space for various
geographical and environmental applications;
- analyze spatial patterns;
- map clusters;
- Measure geographic distributions;
- Model spatial relationship.
PREREQUISITES
STA 2023 (Elements of Statistics)
REQUIRED TEXT BOOK
James E. Burt, Gerald M. Barber, David L. Rigby, 2009. Elementary Statistics for Geographers,
3rd edition. New York: The Guilford Press.
Do not be scared by the thickness of the book. Again, this course focuses on spatial statistics. The basics
of inferential statistics in Part II of the book you have learned in STA 2023 won’t be covered repeatedly
in this class. Unless the book is used in a year-long course, the instructor will have to be very selective
with regard to what he assigns. Do not complain about having to skip around so much. Ultimately you
will appreciate the book that covers more than what is taught in the course. Later, when confronted with
an unfamiliar method in readings or on a research project, you can return to the book whose notational
quirks have already been mastered, and can understand the new technique in context with what was
presented in the course.
SUPPLEMENTARY MATERIAL AND COURSE WORK SUBMISSION
Supplementary material (ESRI Spatial Statistics Demo, Dr’s Hu research publications) can be accessed
from the UWF e-learning system. Please also submit your course work to the system.
LAB CONTENTS
Describe and interpret spatial data
Central feature
Linear directional mean
Average nearest neighbor
High-low clustering (Getis-Ord general G)
Spatial autocorrelation (Moran’s I)
Cluster and outlier analysis (Anselin local Moran’s I)
Hot spot analysis (Getis-Ord GI*)
Ordinary least squares regression
Correlation analysis
Geographically weighted regression
GRADING Policy
Components: Lab and Exam 90%; attendance 10%.
Grading scale (UWF Scale):
A (4.0) = >93% A- (3.7) = 90-93 B+ (3.3) = 87-90 B (3.0) = 83-87 B- (2.7) = 80-83
C+ (2.3) =77-80 C (2.0) = 73-77 C- (1.7) = 70-73 D+ (1.3) = 67-70 D (1.0) = 60-67
F (0.0) = <60%
SCHEDULE
Week 1
Statistics and Geography
Displaying and Interpreting Data
Chapter 1
Chapter 2
3-33
39-92
Lecture: Describing data with statistics
Chapter 3
95-147
Statistical relationship
Chapter 4
156-194
Chapter 6
254-289
Week 2
Week 3
Week 4
Geographic Sampling
Weeks 5
Point Pattern Analysis
Week 6
Spatial Autocorrelation (1)
Week 7
Spatial Autocorrelation (2)
Week 8
Tuesday: Exam Review
Thursday: Final exam.
Chapter 14
Chapter 14
Chapter 14
SPATIAL DATASETS FOR GIS LAB EXERCISES
To be supplied with each exercise with a web link. The datasets are mainly from Dr Hu’s research project
on environmental health.
DATASETS FOR ELEMENTARY STATISTICS FOR GEOGRAPHERS, 3RD ED
Chapter 2
lakeveg.html (excel format lakeveg.xls)
dodata.html (excel format dodata.xls)
income.html (excel format income.xls)
teachrwage.html (excel format teachrwage.xls)
dow.html (excel format dow.xls)
earthqk.html (excel format earthqk.xls)
vote2000.html (excel format vote2000.xls)
nzdeaths.html (excel format nzdeaths.xls
Chapter 3
cavendish.html (excel format cavendish.xls)
dodata.html (excel format dodata.xls)
traffic.html (excel format traffic.xls
Chapter 4
convergence.html (excel format convergence.xls)
co2.html (excel format co2.xls)
iris.html (excel format iris.xls)
smoking.html (excel format smoking.xls)
temperature.html (excel format temperature.xls)
warming.html (excel format warming.xls)
dow.html (excel format dow.xls
Chapter 12
bass.html (excel format bass.xls
Chapter 14
caprecip.html (excel format caprecip.xls)
ncincome.html (excel format ncincome.xls)
earthqk.html (excel format earthqk.xls)
ncvoters.html (excel format ncvoters.xls)
patents.html (excel format patents.xls)
statebincon.html (excel format statebincon.xls)
stateinverse.html (excel format stateinverse.xls
SUPPLEMENTARY DATASETS, NOT CITED IN THE BOOK
June2007Temperature.xls
June 2007 daily mean shelter height air temperature (oF) for Madison, WI. Source:
Milwaukee Office of the National Weather Service.
MississippiDischarge.xls
Mean discharge of the Mississippi River by month for the period 1879-1988
measured at Keokuk, Iowa. The column labeled "Annual" is mean monthly discharge
for the water year. Each water year begins in October of the preceding year. Data
values are cubic feet per second. Source: United States Geological Survey.
GATemperature.xls
Georgia statewide average temperature (degrees F) by month for the period 18951996. Source: Georgia State Climatology Office.
GAPrecip.xls
Georgia statewide average precipitation (inches) by month for the period 1895-1996.
Source: Georgia State Climatology Office.
KSTemperature.xls
Climatic mean monthly temperature for 139 weather stations in Kansas.
Temperatures are in 10ths of a degree C. For example, a value of 100 equals 10
degrees C. For every station the entire length of record was used to define the mean
value, thus the record length varies by station. Elevation data have not been
verified. Source: data are courtesy of David Legates and Cort Willmott, University of
Delaware.
KSPrecip.xls
Climatic mean monthly precipitation (mm) for 139 weather stations in Kansas.
Precipitation values have been corrected for gage bias. For every station the entire
length of record was used to define the mean value, thus the record length varies by
station. Elevation data have not been verified. Source: data are courtesy of David
Legates and Cort Willmott, University of Delaware.
USTornadoFrequency.xls
United States monthly and annual total tornado frequency for the period 1950-1999.
Source: University of Nebraska-Lincoln High Plains Regional Climate Center.
USTornadoDeaths.xls
United States monthly and annual total deaths by tornado for the period 1950-1999.
Source: University of Nebraska-Lincoln High Plains Regional Climate Center.
SPECIAL TECHNOLOGY UTILIZED BY STUDENTS
High
EXPECTATIONS FOR ACADEMIC CONDUCT/PLAGIARISM POLICY
http://uwf.edu/StudentAffairs/division/publications/ClassDisrup.pdf
http://uwf.edu/StudentAffairs/division/publications/PlagBroch.pdf .