|
Title
|
|
Applied Spatial Statistics
|
|
Date / Time / Room
|
Sponsor
|
Type
|
08/11/2002
8:15 AM -
4:15 PM
Room: H-New York Suite
|
ASA, Section on Statistics & the Environment*
|
Other
|
|
Organizer:
|
n/a
|
|
Chair:
|
n/a
|
|
CE Presenter
|
- Alaska Dept. of Fish and Game
- Alaska Dept. of Fish and Game
|
Description
This course gives an introduction to spatial statistics. The course is divided into 3 parts covering 1) geostatistics, 2) models for lattice data, and 3) point processes. I give an introduction to each of the three areas. I begin with exploratory data analysis for spatial data. Then, I introduce the basic concepts that are used in spatial statistics. We build on familiar concepts from linear models by introducing basic spatial concepts, including dependent data, autocorrelation, and stationarity. I give many examples of prediction of new values (interpolation) and estimation of parameters in the linear model, including spatial regression and ANOVA, and sampling applications. Significant new implementations of software in all of these areas have occurred in recent years, including SAS, S-PLUS, Win BUGS, and ARINFO/ARCVIEW. The goal of this course is to make it easier for statisticians to get started in spatial statistics by integrating the theory of each subject area with examples using live software demonstrations. This will enhance understanding the theory and provide tools to start using spatial statistics.
|
|
