Training Courses - Geostatistical Analysis of Space-Time Data
If you are interested in attending this course please contact us
Focus:
Environmental sciences, natural resources, soil science, climatology, geology, geophysics, agronomy and related disciplines.
Upon course completion, you will have
- The software you need to undertake geostatistical analyses, including geostatistical freeware and TerraSeer's STIS software. All training participants will receive a student license of TerraSeer's STIS software to use during the class and take with you upon course conclusion.
- A workbook to review and recreate the course exercises at your own pace.
- A practical understanding about how to systematically carry out geostatistical analysis, using the latest in spatial analytical tools.
This is the first in a set of two courses that teach the basics of geostatistical theory and provide an overview of more advanced techniques (learn more about the second course). The course is aimed at professionals and researchers dealing with the description and interpolation of spatial data, as well as spatial risk assessment. Particularly relevant applications are the study of pollutant concentration, soil and climatic data. Only basic knowledge of probability and statistics is assumed.
The first section introduces the concepts of correlogram, semivariogram, the random function model, modeling experimental semivariograms and shows how the value of a property can be predicted at unsampled locations using least-squares interpolation techniques known as kriging.