Geostatistics and spatial modeling. Lecture notes / Геостатистика и пространственное моделирование. Лекционные заметки

An introduction to the description, analysis, and modeling of geospatial data and of the resulting uncertainty in the models. Theory and its correct application will be integrated with the use of various software tools (including GIS) and appropriate examples to emphasize the crossdisciplinary applicability of geostatistical analysis and modeling.

Prerequisites are an introductory applied statistics course, familiarity with the Windows operating environment, and basic spreadsheet-based data manipulation. Knowledge of ArcView or other GIS software is strongly encouraged. All software will be on a Windows/Intel platform.

Readings will be assigned to stimulate in-class discussion, and all students will research, present, and lead a class discussion on published articles of their choosing that focus on concepts and applications of geostatistical analysis and modeling.