FALL 2001

Journal articles reviewed by class members

GEOSTATISTICS

Math 574/ Geography 574

Agnew, M.D. and Plutikof, J.P., (2000), GIS based construction of baseline climatologies for the Mediterranean using terrain variables. Climate Research 14, 115-127

.Sanderson, E.W., Zhang, M., Ustin, S.L. and Rejmankova, E., (1998), Geostatistical scaling of canopy water content in a California salt marsh. Landscape Ecology 13, 79-92

Oudemans, P., Hughes, M. and Gimenez, D., (2000), Spatial detection and quantification of Phytophthora root rot effects in cranberry yield. in Proceedings of the Second International Conference on Geospatial Information in Agriculture and Forestry, ERIM International Conferences, Ann Arbor, MI

Pelletier, D. and Parma, A., (1994), Spatial distribution of Pacific Halibut (Hippoglossus stenolepis): an application of geostatistics to longtime survey data. Canadian J. of Fisheries and Aquatic Science 51, 1506-1518

Hosang, J. and Dettwiler, K., (1991), Evaluation of a water equivalent of snow cover map in a small catchment area using a geostatistical approach. Hydrological Processes 5, 283-290

Bosch, D.D. and West, L.T., (1998), Hydraulic conductivity for two sandy soils. Soil Science Society of America J. 62, 90-98

Bland, W., (1996), Uncertainty of daily insolation estimates from a Mesoscale pyranometer network. Notes and Correspondence, American Meteorological Society, 255-261

Bergstorm, D.W., Monral, C.M. and Jacques, E. St, (2001), Spatial dependence of soil organic carbon mas and its relationship to soil series and topography. Canadian J. Soil Science 81, 53-62

Hamaan, A, Koshy, M.P., Namkoong, G and Ying, C.C., (2000), Genotype x environment interactions in Almus rubra: developing seed zones and seed-transfer guidelines with spatial statistics and GIS. Forest Ecology and Management 136, 107-119

Kleinschmidt, I, (2001) Use of Generalized linear mixed models in the spatial analysis of small-area malaria incidence rates in KwaZulu Natal, South Africa. American J. Epidemiology 153, 1213-1221

Clifton, P. and Neuman, S., (1982), Effects of kriging and inverse modeling on conditional simulation of the Avra Valley aquifer in Southern Arizona. Water Resources Research 18, 1215-1234

Tain-Shing Ma, Sophocleous, M. and Yun-Sheng Yu, (1999), Geostatistics applications in ground water modeling in south-central Kansas. J. Hydrological Engineering 57-64

Bardossy, A. and Lehmann, W., (1998), Spatial distribution of soil moisture in a small catchment: Part I Geostatistical analysis. J. Hydrology 201, 1-15

Yamamoto, J.K., (2000), An alternative measure of the reliability of ordinary kriging estimates.Math. Geology 32, 489-509

Ella, V.B., Melvin, S.W. and Kanmar, R.S., (2001), Spatial analysis of NO3-N concentrations in glacial till. Transactions of the American Society of Agricultural Engineers 44, 317-327

Kuang, K-W and Lee, D-Y, (1998), Simple indicator based kriging for estimating the probability of incorrectly delineating hazardous areas in a contaminated site. Environmental Science and Technology 32, 2487-2493

2.Magowe, Magowe and Carr, James R., (1998) Relationship between linaments and groundwater occurrence in Western Botswana. Groundwater 37, 282-296

Van der Meer, F, (1996), Classification of remotely-sensed imagery using indicator kriging approach to the problem of calcite-dolomite mineral mapping. International J. Remote Sensing 17, 1233-1249

Bardossy, A. and Lehmann, W., (1998), Spatial distribution of soil moisture in a small catchment. Part I: Geostatistical analysis. J. Hydrology 206, 1-15

Castrignano, A. Goovaerts, P, Lulli, L. and Bragato, G., (2000) A geostatistical approach to estimate the probability of occurrence of tuber melanosporum in relation to some soil properties. Geoderma 98, 95-113

Seo, D.J., (1998) Real time estimation of rainfall fields using rain gage data under fractional coverage conditions. J. Hydrology 208, 25-36

Carr, James R. and Bailey, Raymond E., (1986) An indicator kriging model for the investigation of seismic hazard. Math. Geology 18, 409-428

Wang, G., Gertner, G., Parysow, P. and Anderson, A.B., (2000) Spatial predication and uncertainty analysis of topographic factors for the revised universal soil loss equation (RUSLE). J. Soil and Water Conservation 55, 374-384

Van Groenigen, J.W., Stein, A. and Zurrbier, R., (1997), Optimization of environmental sampling using interactive GIS. Soil Technology 10, 83-97

Juang, K.-W. and Lee, D.-Y., (1998) Simple indicator kriging for estimating the probability of incorrectly delineating hazardous areas in a contaminated site.Environmental Science & Technology 32, 2487-2493

Lloyd, C.D. and Atkinson, Peter, (1999) Designing optimal sampling configurations with ordinary and indicator kriging. Geocomputation 99

Barabas, N., Goovaerts, P. and Adriaens, P., (2001) Geostatistical assessment and validation of uncertainty for three-dimensional dioxin data from sediments in an estuarine river. Environmental Science & Technology 35, 3294-3301

Ahmed, S. and de Marsily, G., (1993), Cokriged estimation of aquifer transmissivity as an indirect solution of the inverse problem. A practical approach. Water Resources Research 29, 521-530

de Bruin, S., (2000), Predicting the areal extent of land-cover types using classified imagery and geostatistics.Remote Sensing of the Environment 74, 387-396

Desbarats, A.J. and Bachu, S.,(1994) Geostatistical analysis of aquifer homeogeneity from the core scale to the basin scale: a case study. Water Resources Research 30, 673-684

Ishida, T. and Kawashima, S., (1993), Use of cokriging to estimate surface air temperature from elevation. Theoretical and Applied Climatology 47, 147-157

Danielsson, A., Carman, R., Rahm, L. and Algars. J. (1998) Spatial estimation of nutrient distributions in the Gulf of Riga sediments using cokriging. Estuarine, Coastal and Shelf Science 46, 713-722

Zhang, R., Shouse, P. and Yates, S., (1999), Estimates of soil nitrate distributions using cokriging with pseudo-cross variograms. J. Environmental Quality 28, 424-428

3.Estrada-Pena, A, (1999), Geostatistics as predictive tools to estimate Ixodes ricinus(Acari:Ixodidae) habitat suitability in the western Palearctic from AVHRR satellite imagery, Experimental & Applied Acarology 23, 337-349

Balk, B. and Elder, Kelly, (2000) Combining binary decision tree and geostatistical methods to estimate snow distribution in a mountain watershed. Water Resources Research 36, 13-26

Oliver, M., Webster, R., Lajaunie, C., Muir., K.R., Parkes, S.E., Cameron, A.H., Stevens, M.C.G. and Mann, J.R., (1998), Binomial cokriging for estimating and mapping the risk of childhood cancer. IMA J. Mathematics Applied in Medicine and Biology 279-297

Addink, E.A. and Stein, A., (1999), A comparison of conventional and geostatistical methods to replace clouded pixels in NOAA-AVHRR images. I. Journal of Remote Sensing 20, 961-977

Carlos, S., Aminzadeh, F., Diaz B., M. and Porras M., J, (2001), Using geostatistical techniques for mapping a reservoir in Eastern Venezuela. in Proceedings of the 7th International Congress of the Brazilian Geophysical Society

Ishida, T. and Ando, H. (1999), Use of disjunctive cokriging to estimate soil organic matter from Landsat Thematic Mapper Image. I. Journal of Remote Sensing 20, 1549-1565

Parks, K.P. and Bentley, L.R., (1996), Enhancing data worth of EM survey in site assessment by cokriging. Groundwater 34, 597-604

Maliha, S.N., Toorman, A., Wierenga, P., Gutjahr, A. and Cunningham, G.L., (1992) Estimation of vegetative cover in an arid rangeland based on soil moisture using cokriging. Soil Science 154, 25- 35

Carroll, S. and Cressie, N., (1997), spatial modeling of snow water equivalent using covariances estimated from spatial and geomorphic attributes. J. Hydrology 190, 42-59

Daviau, J.-L, Adamowski, K. and Patry, G.G., (2000) Regional flood frequency analysis using GIS, L-moment and geostatistical methods. Hydrological Processes 14 , 2731-2753

Lloyd, C.D. and Atkinson, P.M., (1999), Designing optimal sampling configurations with ordinary and indicator kriging. In theProceedings of IV International Conference on Geocomputation, Mary Washington College, 25-28 July 1999, Geocomputation CD-rom, Manchester