Course: Spatial Data Analysis with GIS (3103-451)

Persons:

• Prof. Dr. Thilo Streck (verantwortlich)

Type of Course:

lecture

In-Class Hours Per Week:

2

Contents:

This class provides an overview of Geographical Information Systems (GIS) and explains types and sources of spatial data and how data are handled by GIS. Special subjects include map projection, remote sensing, digital terrain analysis, and landcover mapping. Further, we present statistical and geostatistical methods to analyze spatial data (histograms, probability plots, variograms) and to produce maps (inverse distance methods, kriging, cokriging).

Literature:

Burrough, P.A. McDonnell, R.A. (1998). Principles of Geographical Information Systems. Oxford University Press, Oxford, UK.
Lillesand, T.M., Kiefer, R.W., Chipman, J.W. (2004). Remote sensing and image interpretation. Wiley, NY, USA.
Chang, K.-T. (2008). Introduction to geographic information systems. McGraw-Hill, Boston, MA, USA.
ESRI. 1997. Understanding GIS. Wiley. N.Y., USA.
Isaaks, H.I., Srivastava, R.M. (1989). Applied geostatistics. Oxford University Press, NY, USA.

Location:

Hohenheim

Module:

• 3103-450 Spatial Data Analysis with GIS (compulsory)

eLearning:

Course in ILIAS