References
- A
rmstrong M., 1988, Geostatistics. Two volumes, Kluwer, Academic Publishers, Amsterdam. - A
rmstrong M., 1998, Basic Linear Geostatistics, Springer-Verlag, Berlin-New York. - B
rzezicka J., Wiśniewski R., 2014, Wybrane postawy uczestników rynku wobec braków informacyjnych na rynku nieruchomości (Selected Attitude of Market Participants to the Shortcomings of Information on the Real Estate Market),Ekonomia XXI wieku (21st Century Economy), No. 2, pp. 106-121 (in Polish). - C
attle J. A., Mc Bratney A. B., Minasny B., 2002, Kriging Method Evaluation for Assessing the Spatial Distribution of Urban Soil Lead Contamination, Journal of Environmental Quality, No. 31(5), pp. 1576-1588. - C
iles J.P., Delfiner P., 1999, Geostatistics. Modeling Spatial Uncertainty, Wiley, New York. - C
lark I., 1979, Practical Geostatistics, Elsevier Applied Science Publishers, New York, London. - C
lark I., 2001, Practical Geostatistics 2000, USA Publishers, Ohio. - D
avid M., 1977, Geostatistical Ore Reverse Estimation, Elsevier Scientific Publishing Co, Amsterdam. - D
avid M., 1988, Handbook of Applied Advanced Geostatistical Ore Reverse Estimation. Developments in Geomathematics, Elsevier Science Publishers B.V., Amsterdam. - D
avis J.C., 1986, Statistics and Data Analysis in Geology, John Willwy & Sons, New York. - D
eutsch C.V., Journel A.G., 1992, GSLIB Geostatistical Software Library and User’s Guide, Oxford University Press, New York. - D
ucci D.,de Melo M. T. C., Preziosi E., Sellerino M., Parrone D., Ribeiro L., 2016, Combining Natural Background Levels (NBLs) Assessment with Indicator Kriging Analysis to Improve Groundwater Quality Data Interpretation and Management, Science of the Total Environment, pp. 569-584. - E
nglund E., Sparks A., 1991, Geostatistical Environmental Assessment Software, Version 1.2.1, EPA, Las Vegas. - H
engl T., 2007, A Practical Guide to Geostatistical Mapping of Environmental Variables, Office for Official Publication of the European Communities, Luxembourg. - H
ohn M.E., 1988, Geostatistics and Petroleum Geology, Van Nostrand Reinhold, New York. - I
saaks E.H., Srivastava R.M., 1989, Spatial Continuity Measures for Probabilistic and Deterministic Geostatistics, Mathematical Geology, No. 4, pp. 313-341. - J
ang C., Chen S., Cheng , Y., 2016, Spatial Estimation of the Thickness of Low Permeability Topsoil Materials by Using a Combined Ordinary-Indicator Kriging Approach with Multiple Thresholds, Engineering Geology, No. 207, pp. 56-65. - J
ournel A.G., Huijbregts C.J., 1978, Mining Geostatistics, Academic Press, New York, London. - K
okesz Z., Nieć M., 1992, Metody geostatystyczne w rozpoznawaniu i dokumentowaniu złóż oraz w ochronie środowiska (Geostatistical Methods in the Diagnosis and Documentation of Deposits and Environmental Protection), CPPGSMiE PAN, Kraków (in Polish). - K
rige D. G., 1951, A Statistical Approach to some Mine Valuations and Allied Problems at the Witwatersrand, Master's thesis of the University of Witwatersrand. - L
ajaunie C.A., 1984, A Geostatistical Approach to Air Pollution Modelling, in Verly G., et al. (eds.). Geostatistics for Natural Resources Characterization, Two Volumes, pp. 147-167. - M
agiera J., Foryciarz K., 2000, Analiza przestrzenna rozkładu metali ciężkich w glebach Nowej Huty (Analysis of the Spatial Distribution of Heavy Metals in Soils of Nowa Huta), Geoinformatica Polonica, No. 2, pp. 43-50 (in Polish). - M
atheron G., 1971, The Theory of Regionalized Variables and its Applications, Ecole Nationale Superieure des Mines de Paris, Paris. - N
amysłowska -Wilczyńska B., 2006, Geostatystyka, teoria i zastosowanie (Geostatistics, Theory and Application), Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław (in Polish). - P
ham T. D., 2014, Geostatistical Entropy for Texture Analysis: An Indicator Kriging Approach, International Journal of Intelligent Systems, No. 29(3), pp. 253-265. - R
enigier -Biłozor M., 2011, Analysis of Real Estate Markets with the Use of the Rough Set Theory, Studia i Materiały Towarzystwa Naukowego Nieruchomości, No. 19(3), pp. 107-118. - S
mith J. L., Halvorson J. J., Papendick R. I., 1993, Using Multiple-Variable Indicator Kriging for Evaluating Soil Quality, Soil Science Society of America Journal, No. 57, pp. 743-749. - S
tach A., 2009, Analiza struktury przestrzennej i czasoprzestrzennej maksymalnych opadów dobowych w Polsce w latach 1956-1980 (Analysis of the Spatial Structure of Space-Time and Maximum Daily Rainfall in Poland in the Years 1956-1980), Wydawnictwo naukowe UAM, Poznań (in Polish). - U
rbański J., 2008, GIS w badaniach przyrodniczych (GIS in Environmental Research), Wydawnictwo Uniwersytetu Gdańskiego, Gdańsk (in Polish). - W
iatr I., 1996, Metody geostatystyczne w monitorowaniu stanu degradacji środowiska naturalnego (Geostatistical Methods in Environmental Degradation Monitoring), Ekoinżynieria, No. 1, pp. 26-34 (in Polish). - V
erly G., David M., Journel A.G., 1984, Geostatistics for Natural Resources Characterization, Two Volumes, Reidel, Dordrecht. - Z
awadzki J., 2002, Badanie korelacji przestrzennych zawartości pierwiastków śladowych w glebach Warszawy i jej okolic (Correlation of Spatial Content of Trace Elements in Soils of Warsaw and its Surroundings), Ochrona Środowiska, No. 4(87), pp. 17-26 (in Polish). - Z
awadzki J., 2005, Wykorzystanie metod geostatystycznych w badaniach środowisk przyrodniczego (The Use of Geostatistical Methods in the Environmental Research, Prace Naukowe, Inżynieria Środowiska, No. 49, pp. 1-134 (in Polish). - Z
awadzki J., 2011, Metody geostatystyczne dla kierunków przyrodniczych i technicznych (Geostatistical Methoods for Natural Science and Engineering), Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa (in Polish). - Z
hang Y., Liu Y., Yang X., 2015, Parametric Sensitivity Analysis for Importance Measure on Failure Probability and its Efficient Kriging Solution, Mathematical Problems in Engineering, doi:10.1155/2015/685826.