A Practical Guide to Geostatistical Mapping

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Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images
Optimization of space-time sampling designs under the universal kriging model
Methods and data sources for spatial prediction of rainfall
Mapping population change index in Southern Serbia (1961–2027) as a function of environmental factors

(6) | A (9) | B (3) | C (5) | D (6) | F (29) | G (12) | H (3) | I (8) | K (1) | L (9) | M (9) | N (1) | O (6) | P (5) | R (6) | S (16) | T (8) | U (3) | V (1) | { (308)

Title	Author	Last update
R Graphics	T.Hengl	Monday, November 30, 2009 - 17:59
R scripts	T.Hengl	Tuesday, December 8, 2009 - 14:20
Rainfall measurements for Italy for 2010-01-23	T.Hengl	Monday, February 7, 2011 - 15:13
Regression-kriging	T.Hengl	Wednesday, February 17, 2010 - 13:35
Regression-kriging using 5 points	T.Hengl	Tuesday, December 8, 2009 - 14:57
RK predictions exported as polygons	T.Hengl	Tuesday, December 8, 2009 - 17:54

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Figure: Mean daily temperatures for four arbitrary dates predicted using spatio-temporal regression-kriging.

Testimonials

"From a period in which geographic information systems, and later geocomputation and geographical information science, have been agenda setters, there seems to be interest in trying things out, in expressing ideas in code, and in encouraging others to apply the coded functions in teaching and applied research settings."

— Roger Bivand, Norwegian School of Economics and Business Administration

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