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GEOSTAT software

Software iconList of FOSS software used in this course and installation instructions. Follow these instructions to prepare and customize the software before the beginning of the course.

Literature used

GBIF dataThis course covers various topics described in detail in some of these books / lecture notes. See also: CRAN Task View: Analysis of Spatial Data.

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Hamm, N. A. S., P. M. Atkinson, and E. J. Milton, "Evaluating the effect of positional uncertainty in field measurements on the atmospheric correction of remotely sensed imagery", geoENV IV - Geostatistics for Environmental Applications, London, Kluwer Academic Publishers, pp. 91-102, 2004.
Hamm, N. A. S., "Understanding spatial uncertainty in empirical remote sensing models", School of Geography, vol. PhD, Southampton, UK, University of Southampton, 03/2007.
Hamm, N. A. S., P. M. Atkinson, and E. J. Milton, "Resolving the support when combining remotely sensed and field data: the case of the atmospheric correction of airborne remotely sensed imagery using the emiprical line method", Fifth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences (Accuracy 2002), Melbourne, Australia, 07/2002.
Hamm, N. A. S., P. M. Atkinson, and E. J. Milton, "On dealing with autocorrelated residuals from regression models for GIS and remote sensing", International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences (Accuracy 2006), Lisbon, Portugal, 07/2006.
He, K. S., D. Rocchini, M. Neteler, and H. Nagendra, "Benefits of hyperspectral remote sensing for tracking plant invasions", Diversity and Distributions, vol. 17, no. 3: Blackwell Publishing Ltd, pp. 381–392, 2011. Abstract
Hengl, T., M. Nikolić, and R. A. MacMillan, "Mapping efficiency and information content", International Journal of Applied Earth Observation and Geoinformation, vol. 18, pp. in press, 2012.
Hengl, T., and N. Toomanian, "Maps are not what they seem: representing uncertainty in soil-property maps", Proceedings of the 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences (Accuracy 2006), Lisbon, Portugal, Instituto Geográphico Português, pp. 805-813, 2006.
Hengl, T., A Practical Guide to Geostatistical Mapping, , 2nd, Amsterdam, University of Amsterdam, pp. 291, 2009.
Hengl, T., G.  B.  M. Heuvelink, and A. Stein, Comparison of kriging with external drift and regression-kriging. Technical report, , Enschede, International Institute for Geo-information Science and Earth Observation (ITC), pp. 18, 2003.
Hengl, T., "Finding the right pixel size", Computers & Geosciences, vol. 32, no. 9, pp. 1283-1298, 2006.
Hengl, T., D.  J.  J. Walvoort, A. Brown, and D.  G. Rossiter, "A double continuous approach to visualisation and analysis of categorical maps", International Journal of Geographical Information Science, vol. 18, no. 2, pp. 183-202, 2004.
Heuvelink, G. B. M., "Analysing uncertainty propagation in GIS: why is it not that simple?", Uncertainty in Remote Sensing and GIS, Chichester, Wiley, pp. 155-165, 2002.
Hirth, K., G. Luna, and P. van Rossum, Methodology: Building the Basin of Mexico GIS Database, , Univerity Park, Pennsylvania State University, Submitted.
Hofierka, J., H. Mitasova, and M. Neteler, "Geomorphometry in GRASS GIS", Developments in Soil Science, vol. 33: Elsevier, pp. 387–410, 2009. Abstract
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