D G Rossiter's Publications & Computer Programs

"Here are a few of the unpleasant'st words/ That ever blotted paper! "
-- Shakespeare; The Merchant of Venice, 3:2 (Bassanio)

To Top Refereed journals

ORCID ID: 0000-0003-4558-1286
Scopus Author ID: 7006373083
Thompson-Reuters ResearcherID (publons): D-3842-2009
Google Scholar profile: SnXBvz8AAAAJt

As first author

  1. Rossiter, D. G. 2018. Past, present & future of information technology in pedometrics. Geoderma, 324, 131-137. doi: 10.1016/j.geoderma.2018.03.00
  2. Rossiter, D. G., & Bouma, J, 2018. A new look at soil phenoforms – Definition, identification, mapping. Geoderma, 314, 113–121. doi: 10.1016/j.geoderma.2017.11.002
  3. Rossiter, D. G., Zeng, R., & Zhang, G.-L. 2017. Accounting for taxonomic distance in accuracy assessment of soil class predictions. Geoderma, 292, 118–127. doi: 10.1016/j.geoderma.2017.01.012
  4. Rossiter, David G.; Liu, Jing; Carlisle, Steve; Zhu, A-Xing. 2015 Can citizen science assist digital soil mapping? Geoderma, 259-260: 71-80. doi: 10.1016/j.geoderma.2015.05.006
  5.   Rossiter, DG 2007 Classification of Urban and Industrial Soils in the World Reference Base for Soil Resources Journal of Soils and Sediments 7: 96-100. doi: 10.1065/jss2007.02.208
  6. Rossiter, DG 2004 Digital soil resource inventories: status and prospects Soil Use & Management 20 (3) 296-301. doi:10.1111/j.1475-2743.2004.tb00372.x

    Updated in 2015; see below.

  7. Rossiter, DG & Riha, S.J. 1999 Modeling plant competition with the GAPS object-oriented dynamic simulation model. Agronomy Journal 91 (5): 773-783. doi:10.2134/agronj1999.915773x
  8. Rossiter, DG 1996 A theoretical framework for land evaluation (with Discussion) Geoderma 72: 165-202. doi:10.1016/0016-7061(96)00031-6
  9. Rossiter, DG 1995 Economic land evaluation: why and how. Soil Use & Management, 11: 132-140. doi:10.1111/j.1475-2743.1995.tb00511.x
  10. Rossiter, DG & Rodríguez, M. F. 1994 Construcción de modelos digitales de terreno para la evaluación de tierras. Venesuelos 2 (1): 37-44.
  11. Rossiter, DG 1990 ALES: a framework for land evaluation using a microcomputer. Soil Use & Management, 6 (1): doi:10.1111/j.1475-2743.1990.tb00790.x

    Reprint PDF (1,146 Kb) Notice: "This material has been published in Soil Use & Management 6(1): 7-20, the only accredited archive of the content that has been certified and accepted after peer review. Copyright and all rights therein are retained by the British Society of Soil Science (BSSS). This material may not be copied or reposted without explicit permission of the copyright owner."

As thesis supervisor

  1. Dai, L., Palombo, C., van Gils, H.; Rossiter, D. G.; Tognetti, R.; Luo, G. 2017. Pinus mugo krummholz dynamics during concomitant change in pastoralism and climate in the central Apennines. Mountain Research and Development, 37, 75--86. doi: 10.1659/MRD-JOURNAL-D-14-00104.1 Open access.
  2. Cambule, A.H.; Rossiter, D.G.; Stoorvogel, J.J.; Smaling, E.M.A. 2015. Rescue and renewal of legacy soil resource inventories: A case study of the Limpopo National Park, Mozambique. CATENA, 125, 169-182. doi: 10.1016/j.catena.2014.10.019
  3. Cambule, A.H.; Rossiter, D.G.; Stoorvogel, J.J.; Smaling, E.M.A. 2014. Soil organic carbon stocks in the Limpopo National Park, Mozambique: Amount, spatial distribution and uncertainty. Geoderma, 213, 46-56. doi: j.geoderma.2013.07.015
  4. Chinembiri, T. S., Bronsveld, M. C., Rossiter, D. G.; Dube, T. 2013. The precision of C stock estimation in the Ludhikola watershed using model-based and design-based approaches. Natural Resources Research, 22(4), 279-309. doi: 10.1007/s11053-013-9216-6
  5. Cambule, A.H.; Rossiter, D.G.; Stoorvogel, J.J. 2013. A methodology for digital soil mapping in poorly-accessible areas. Geoderma, 191, 341-353. doi: 10.1016/j.geoderma.2012.08.020
  6. Rathod, P. H.; Rossiter, D. G.; Noomen, M. F.; van der Meer, F. D. 2013. Proximal spectral sensing to monitor phytoremediation of metal-contaminated soils. International Journal of Phytoremediation, 15(5), 405-426. doi: 10.1080/15226514.2012.702805
  7. Cambule, A.H.; Rossiter, D.G.; Stoorvogel, J.J.; Smaling, E.M.A. 2012. Building a near infrared spectral library for soil organic carbon estimation in the Limpopo National Park, Mozambique. Geoderma, 183-4, 41-48. doi: 10.1016/j.geoderma.2012.03.011
  8. Bacic, Ivan Luis Zilli; Rossiter, David G.; Mannaerts, Christiaan Mathias. 2008. Applicability of a distributed watershed pollution model in a data-poor environment in Santa Catarina state, Brazil. Revista Brasileira de Ciência do Solo, 32(4), 1699-1712. doi:10.1590/S0100-06832008000400035
  9. 刘茜 (Liu Qian); Rossiter, David G. 2008. 基于高光谱数据和MODIS影像的鄱阳湖悬浮泥沙浓度估算 (Estimation on Suspended Sedimentation Concentration of Poyang Lake Using MODIS and Hyperspectral Data) 遥感技术与应用 (Remote Sensing Technology and Application) 23(1), 7-11
  10. Yemefack, M; Rossiter, DG; Yetten, V.G. 2006. Empirical modelling of soil dynamics along a chronosequence of shifting cultivation systems in southern Cameroon. Geoderma, 133, 380-397. doi: 10.1016/j.geoderma.2005.08.003
  11. Bacic, I.L.Z.; Rossiter, DG & Bregt, A.K. 2006. Using spatial information for improving collective understanding of shared environmental problems at watershed level. Landscape and Urban Planning, 77, 54-66. doi: 10.1016/j.landurbplan.2005.01.005
  12. Yemefack, M; Yetten, V.G.; Rossiter, DG. 2006. Developing a minimum data set for characterizing soil dynamics in shifting cultivation systems. Soil & Tillage Research, 86,84-98. doi: 10.1016/j.still.2005.02.017
  13. Bacic, I.L.Z.; Bregt, A.K.& Rossiter, DG. 2006. A participatory approach for integrating risk assessment into rural decision making: a case study in Santa Catarina, Brazil. Agricultural Systems, 87(2), 229-244. doi: 10.1016/j.agsy.2005.01.008
  14. Yemefack, M.; Rossiter, DG & Njomgang, R. 2005. Multi-scale characterization of soil variability within an agricultural landscape mosaic system in southern Cameroon. Geoderma 125(1/2), 117-143. doi: 10.1016/j.geoderma.2004.07.007
  15. Hengl, T.; Walvoort, D.J.J.; Brown, A. & Rossiter, DG 2004 A double continuous approach to visualisation and analysis of fuzzy maps. International Journal of Geographic Information Science 18(1/2), 183-202. doi:10.1080/13658810310001620924
  16. Hengl T., Rossiter D.G., & Stein A. 2003 Soil sampling strategies for spatial prediction by correlation with auxiliary maps Australian Journal of Soil Research 41(8), 1403-1422.

    Abstract from the Journal's website; full text for subscription or per-copy purchase.
    Reprint PDF (2,611 Kb) Notice: Posted on author's personal web site in accordance with guidelines from the Australian Journal of Soil Research

  17. Hengl, T. & Rossiter, DG 2003 Supervised landform classification to enhance and replace photo-interpretation in semi-detailed soil survey. Soil Science Society of America Journal, 67(6), 1810-1822. doi:10.2136/sssaj2003.1810
  18. Bacic, I.L.Z., Rossiter, DG & Bregt, A.K. 2003. The use of land evaluation information by land use planners and decision-makers: a case study in Santa Catarina, Brazil. Soil Use & Management 19(1): 12-18. doi:10.1111/j.1475-2743.2003.tb00274.x.

As co-author

  1. Sheng, M., Liu, J., Zhu, A.-X., Rossiter, D. G., Liu, H., Liu, Z., & Zhu, L. (2019). Comparison of GLUE and DREAM for the estimation of cultivar parameters in the APSIM-maize model. Agricultural and Forest Meteorology, 278. doi: 10.1016/j.agrformet.2019.107659
  2. Sheng, M., Zhu, A.-X., Rossiter, D. G., & Liu, J. (2019). How Much Are Planting Dates for Maize Affected by the Climate Trend? Lessons for Scenario Analysis Using Land Surface Models. Agronomy, 9(6), 316. doi: 10.3390/agronomy9060316
  3. Frost, P. S. D., van Es, H. M., Rossiter, D. G., Hobbs, P. R., & Pingali, P. L. (2019). Soil health characterization in smallholder agricultural catchments in India. Applied Soil Ecology. doi: 10.1016/j.apsoil.2019.02.003
  4. Yemefack, M., Njomgang, R., & Rossiter, D. (2019). Quantified soil evolution under shifting agriculture in southern Cameroon. Frontiers in Environmental Science, 7. doi: 10.3389/fenvs.2019.00016
  5. Zeng, R., Rossiter, D. G., & Zhang, G. L. (2019). How compatible are numerical classifications based on whole-profile vis–NIR spectra and the Chinese Soil Taxonomy? European Journal of Soil Science. doi: 10.1111/ejss.12771
  6. Radović, A.; Schindler, S.; Rossiter, D.G.; Nikolić, T. (2018) Impact of biased sampling effort and spatial uncertainty of locations on models of plant invasion patterns in Croatia Biological Invasions, 20, 3527--3544 doi: 10.1007/s10530-018-1793-1
  7. Sheng, M., Liu, J., Zhu, A.-X., Rossiter, D. G., Zhu, L., & Peng, G. (2018). Evaluation of CLM-Crop for maize growth simulation over Northeast China. Ecological Modelling, 377, 26–34. doi: 10.1016/j.ecolmodel.2018.03.005
  8. Ju, B., Wu, K.-N., Zhang, G.-L., Rossiter, D. G., & Li, L. (2017). Characterization of some calcareous soils from Henan and their proposed classification in Chinese Soil Taxonomy. Pedosphere, 27(4): 758-768. doi:10.1016/S1002-0160(17)60302-3
  9. Zeng, R., Rossiter, D. G., Yang, F., Li, D.-C., Zhao, Y.-G., & Zhang, G.-L. (2017). How accurately can soil classes be allocated based on spectrally predicted physio-chemical properties? Geoderma, 303, 78–84. doi: 10.1016/j.geoderma.2017.05.011
  10. Yang, F., Huang, L. M., Rossiter, D. G., Yang, F., Yang, R. M., & Zhang, G. L. (2017). Evolution of loess-derived soil along a climatic toposequence in the Qilian Mountains, NE Tibetan Plateau. European Journal of Soil Science, 68(3), 270–280. doi: 10.1111/ejss.12425
  11. Lubczynski, M. W., Chavarro-Rincon, D. C., & Rossiter, D. G. (2017). Conductive sapwood area prediction from stem and canopy areas - allometric equations of Kalahari trees, Botswana. Ecohydrology, on-line 13-March-2017. doi: 10.1002/eco.1856
  12. Zuo, S., Yang, J., Huang, L., Rossiter, D. G., & Zhang, G. (2016). Assessment of plant-driven mineral weathering in an aggrading forested watershed in subtropical China. Pedosphere, 26(6), 817–828. doi: 10.1016/S1002-0160(15)60069-8
  13. Zeng, C. Y., Zhu, A.-X., Liu, F., Yang, L., Rossiter, D. G., Liu, J. Z., & Wang, D. S. (2017). The impact of rainfall magnitude on the performance of digital soil mapping over low-relief areas using a land surface dynamic feedback method. Ecological Indicators, 72, 297–309. doi: 10.1016/j.ecolind.2016.08.023
  14. Zeng, Can-Ying, Yang, Lin, Zhu, A-Xing, Rossiter, David G., Liu, Jing, Liu, Jun-Zhi, Qin, Cheng-Zhi, Wang, DeSheng. (2016). Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method. Geoderma, 281, 69–82. doi: 10.1016/j.geoderma.2016.06.033
  15. Zeng, R., Zhang, G.-L., Li, D.-C., Rossiter, D. G., and Zhao, Y.-G. (2016). How well can VNIR spectroscopy distinguish soil classes?. Biosystems Engineering, 52, 117-125; doi: 10.1016/j.biosystemseng.2016.04.019
  16. Huang, L.-M., Zhang, X.-H., Shao, M.-A., Rossiter, D., and Zhang, G.-L. (2016). Pedogenesis significantly decreases the stability of water-dispersible soil colloids in a humid tropical region. Geoderma, 274, 45–53. doi: 10.1016/j.geoderma.2016.04.005
  17. Wang, D.-C., Zhang, G.-L., Rossiter, D. G., and Zhang, J.-H. (2016). The prediction of soil texture from Visible–Near-Infrared spectra under varying moisture conditions. Soil Science Society of America Journal, Published: March 29, 2016; doi: 10.2136/sssaj2015.10.0379
  18. Mason, C. W., Stoof, C. R., Richards, B. K., Rossiter, D. G., and Steenhuis, T. S. (2016). Spring-thaw nitrous oxide emissions from reed canarygrass on wetness-prone marginal soil in New York State. Soil Science Society of America Journal. Published: February 19, 2016; doi: 10.2136/sssaj2015.05.0182
  19. Yang, R-M., Rossiter, D.G., Liu, F., Lu, Y-Y., Yang, Fan., Yang, Fei., Zhao, Y-G., Li, D-C., and Zhang, G-L. (2015). Predictive mapping of topsoil organic Carbon in an Alpine environment aided by Landsat TM. PLoS ONE 10, e0139042; doiL 10.1371/journal.pone.0139042
  20. Liu, F., D.G. Rossiter, X.-D. Song, G.-L. Zhang, R.-M. Yang, Y.-G. Zhao, D.-C. Li, and B. Ju. (2016) A similarity-based method for three-dimensional prediction of soil organic matter concentration. Geoderma 263(1):254-263; doi:10.1016/j.geoderma.2015.05.013
  21. Rathod, P.H., C. Brackhage, F.D. Van der Meer, I. Müller, M.F. Noomen, D.G. Rossiter, and G.E. Dudel. (2015). Spectral changes in the leaves of barley plant due to phytoremediation of metals - results from a pot study. European Journal of Remote Sensing4 48:283–302; doi:10.5721/EuJRS20154816
  22. Chen, L.M; Zhang, G.L; Rossiter, D.G.; Cao., Z.H. (2015) Magnetic depletion and enhancement in the evolution of paddy and non-paddy soil chronosequences, European Journal of Soil Science 66(5) 886-897 doi:10.1111/ejss.12281.
  23. Worqlul, A. W., Collick, A. S., Rossiter, D. G., Langan, S., & Steenhuis, T. S. 2015. Assessment of surface water irrigation potential in the Ethiopian highlands: The Lake Tana Basin. CATENA, 129, 76–85. doi:10.1016/j.catena.2015.02.020
  24. Sarmento, E. C., E. Giasson, E. J. Weber, C. A. Flores, D. G. Rossiter, and H. Hasenack. 2014. Caracterização de mapas legados de solos: uso de indicadores em mapas com diferentes escalas no Rio Grande Do Sul. Revista Brasileira de Ciência do Solo 38: 1672-1680.
  25. Huang, L.-M., J.-L. Yang, A. Thompson, D.G. Rossiter, S.-M. Zuo, and G.-L. Zhang. 2015. Proton production from nitrogen transformation drives stream export of base cations in acid-sensitive forested watersheds. Ecological Indicators 48: 348–357; doi:10.1016/j.ecolind.2014.08.028
  26. Fan, X., D.G. Rossiter, C.J. van Westen, Q. Xu, and T. Görüm. 2014. Empirical prediction of coseismic landslide dam formation. Earth Surface Processes and Landforms 39 (14): 1913-1926; doi:10.1002/esp.3585
  27. Zhao, Ming-Song, Rossiter, David G.1, Li, De-Cheng, Zhao, Yu-Guo, Liu, Feng, & Zhang, Gan-Lin. 2014. Mapping soil organic matter in low-relief areas based on land surface diurnal temperature difference and a vegetation index. Ecological Indicators, 39, 120–133. doi:10.1016/j.ecolind.2013.12.015
  28. Huang, Lai-Ming; Zhang, Gan-Lin; Thompson, Aaron & Rossiter, David G., 2013. Pedogenic transformation of phosphorus during paddy soil development on calcareous and acid parent materials. Soil Science Society of America Journal, 77 (6), 2078-2088 doi: 10.2136/sssaj2013.01.0033
  29. Shafique, M., van der Meijde, M., & Rossiter, D. G., 2011. Geophysical and remote sensing - based approach to model regolith thickness in a data - sparse environment. CATENA, 87 (1), 11-19; doi: 10.1016/j.catena.2011.04.004
  30. Eliasson, A., Jones, R. J. A., Nachtergaele, F., Rossiter, D. G., Terres, J. M., Van Orshoven, J., et al., 2010. Common criteria for the redefinition of Intermediate Less Favoured Areas in the European Union. Environmental Science & Policy, 13: 766-777; doi: 10.1016/j.envsci.2010.08.003
  31. Choe, E., van der Meer, F., Rossiter, D., van der Salm, C., & Kim, K.-W., 2010. An Alternate Method for Fourier Transform Infrared (FTIR) Spectroscopic Determination of Soil Nitrate Using Derivative Analysis and Sample Treatments. Water, Air, & Soil Pollution, 206(1), 129-137; doi: 10.1007/s11270-009-0091-z
  32. Sekhar, L.K. Devkota, S. Rossiter, D.G. Jetten, V.G, 2009. Prediction of soil depth using environmental variables in an anthropogenic landscape, a case study in the Western Ghats of Kerala, India. CATENA, 79(1), 27-38; doi:10.1016/j.catena.2009.05.005
  33. van Gils, Hein; Batsukh, Orgil; Rossiter, David, Munthali, Wizaso & Liberatoscioli, Elena, 2008. Forecasting the pattern and pace of Fagus forest expansion in Majella National Park, Italy. Applied Vegetation Science, 11(4), 539-546; doi: 10.3170/2008-7-18568
  34. Hengl, Tomislav; Heuvelink, Gerard B.M. & Rossiter, David G. 2007. About regression-kriging: From equations to case studies. Computers & Geosciences 33 (10) 1301-1315; doi: 10.1016/j.cageo.2007.05.001
  35. van Laake, Patrick E. & Rossiter, DG 1998 An Integrated Framework for Land Evaluation with Soil Conservation Components in Costa Rica. Conservation Voices: Listening to the Land 1 (2) (April/May 1998): 26-30.
  36. Kaiser, H.M., Riha, S.J., Wilks, D.S., Rossiter, D. G., & Sampath, R. 1993. A farm-level analysis of economic and agronomic impacts of gradual climate warming. American Journal of Agricultural Economics 75: 387-398 doi: 10.2307/1242923

To Top Other journals

  1. Rossiter, D. G. (2017). Maps and models are never valid, but they can be evaluated (with responses). Pedometron, 41, 19–28.

    Pedometron 41: 19-28 PDF (307 Kb) from the newsletter of the Pedometrics commission of the International Union of Soil Sciences

  2. Rossiter, DG. 2009 Report from the trenches: Preparing developing-country students for pedometrics, Pedometron 26: 14-16.

    Pedometron 26: 14-16 PDF (307 Kb) from the newsletter of the Pedometrics commission of the International Union of Soil Sciences

  3. Rossiter, DG. 2005 Digital soil mapping: Towards a multiple-use Soil Information System. Análisis Geográficos (Revista del Instituto Geográfico "Augusín Codazzi") 32(1): 7-15.
    (Paper originally presented at Semana de la Geomática; August 2005, Santa Fé de Bogotá, Colombia.)

    PaperPDF (36 Kb)

  4. Rossiter, DG 1998 Creating seamless digital maps from Survey of India topographic sheets GIS India 7 (3) , October 1998
  5. Rossiter, DG; Smith, S.H.; Cole, H.; Pfeiffer, R.P. 1977 Spindle streak virus costly on wheat crops Science in Agriculture, 24 (4), Summer 1977 (Pennsylvania Agricultural Experiment Station)

To Top Monographs

R applications

R Project Home Page

See also my distance education course Geostatistics & Open-source statistical computing; this has 22 tutorials all using R, along with the R code and datasets. Topics include Regression kriging using Generalized Least Squares, Areal Data and Spatial Autocorrelation, Point-pattern analysis, Spatio-temporal geostatistics, simulated spatial annealing, and many more.

  1. Rossiter, DG 2019. Applied geostatistics Tutorial: Regional mapping of climate variables from point samples Version 5.3, 09-July-2019. 190 pp. (first version 2014). Self-published online

    Compares many ways of modelling and predicting over a region from a set of point observations. Ordinary Least Squares trend; Generalized Least Squares trend; Regression Kriging with GLS trend; Kriging with External Drift; Regression Trees; Random Forests; Thin-plate splines; Ordinary Kriging; Thiessen polygons
    On-line version PDF (10.9 Mb); R code (75.2Kb)

  2. Rossiter, DG 2019. An introduction to (geo)statistics with R Version 1.3, 20-March-2019. 163 pp. (first version 2010) Self-published online. Also includes linear modelling, classification and regression trees, random forests, GAM as optional sections. This was supposed to be a short introduction but it has grown over the years. Uses the Meuse River (NL) soil pollution dataset as an example.

    On-line version PDF (5.7 Mb); R code (43.6Kb)

  3. Rossiter, DG 2018. Tutorial: Time series in R. Version 1.2, 07-April-2018. ii+137 pp. Self-published online.

    Tutorial PDF (1.2 Mb); Datasets (Zip, 24 Kb) R code (Zip, 11 Kb)

  4. Rossiter, DG 2018. Technical Note: Co-kriging with the gstat package of the R environment for statistical computing Version 3.0, 14-July-2018. 74 pp. (First version March 2005). Self-published online.

    Tutorial (805Kb) PDF; R code; R code for plotting functions

  5. Rossiter, DG 2017. Technical note: Processing the Harmonized World Soil Database in R Version 1.4, 10-Aug-2017, 35 pp. Self-published online. (first version 2012)

    On-line document PDF (2.2 Mb)
    R code (text, 24 Kb)
    HWSD attribute database in SQL format (ZIP archive, 1.9 Mb)
    HWSD raster map, database, documentation at IIASA (hyperlink)
    Versión en Español, por Ivan Lizarazo (Universidad Nacional de Colombia), incluye métodos para aceder directament a bases de datos formato MS-Access; el ejemplo es de Colombia.

  6. Rossiter, DG 2017. Tutorial: Using the R Environment for Statistical Computing: An example with the Mercer-Hall wheat yield dataset Version 3.1, 26-June-2014. iv+240 pp. Self-published online. (first version 2006)

    On-line version PDF (1.8 Mb); Dataset (CSV, 8 Kb) R code (Zip, 22 Kb)

  7. Rossiter, DG 2017. Tutorial: An example of data analysis using the R environment for statistical computing Version 1.4, 06-May-2017. 147 pp. Self-published online.

    This uses a small dataset of soil properties from Cameroon. Tutorial exercise PDF (1.1 Mb); Dataset (CSV, 12Kb); R code (ZIP, 10.5Kb

  8. Rossiter, DG; Loza, A. 2016. Technical Note: Analyzing land cover change with logistic regression in R. Version 2.4, 14-May-2016. 67 pp. (First version April 2004)

    On-line version PDF (385 Kb); Sample data set, CSV (33 Kb); R code from document (8 Kb) R functions (8 Kb)

  9. Rossiter, DG 2016. Technical note: Curve fitting with the R Project for Statistical Computing Version 1.1, 15-May-2016, i + 21 pp.

    On-line version PDF (262 Kb) R code (7 Kb)

  10. Rossiter, DG 2014. Introduction to the R Project for Statistical Computing for use at ITC 12-June-2014, v + 147 pp. (First version 2003; no longer maintained)

    On-line, version of 12-June-2014 PDF (3 Mb)

  11. Rossiter, DG 2013. Technical Note: Optimal partitioning of soil transects with R. Version 2.1 16-October-2013. 26pp. (First version November 2004) Self-published online.

    On-line version PDF (168 Kb); R code; Example data

  12. Rossiter, DG 2014. Technical Note: Statistical methods for accuracy assesment of classified thematic maps. Technical Report ITC, Enschede, NL. revised 28-April-2014. 43pp.

    On-line version PDF (185 Kb); R code: Compute kappa statistics; Compute weighted kappa statistics; Compute tau statistics

  13. Rossiter, DG 2012. Technical Note: Literate Data Analysis using the R environment for statistical computing and the knitr package 26-December-2012, 35 pp.

    On-line, version 1.0 PDF (360 Kb); explains the use of R, knitr, and LaTeX for reproducible and literate analysis.

  14. Rossiter, DG 2005. Technical Note: Fitting rational functions to time series in R. Technical Report ITC, Enschede, NL. Version 1, December 2005. 15 pp.

    On-line version PDF (221 Kb); Sample data set, CSV (29 Kb);

ITC lecture notes

  1. Rossiter, DG 2012. Research Concepts and Skills. Enschede (NL): UT/ITC; 3 volumes; last revision 11-April-2013 (First version June 2001)

    On-line version (15.6 Mb compressed)

    Lecture slides corresponding to the above, last update 11-Apr-2013 PDF (15 lectures, compressed 18.5 Mb)

  2. Rossiter, DG; Vargas Rojas, R 2006. Herramientas para realizar una investigación. ITC, Enschede, the Netherlands; CLAS, Cochabamba, Bolivia. 40pp. Septiembre 2006.

    This is a Spanish-language translation and adaptation of an early version of the previous.
    On-line version PDF (186 Kb)

  3. Rossiter, DG & Hengl, T. 2002. Technical note: Creating geometrically-correct photo-interpretations, photomosaics, and base maps for a project GIS Technical Report ITC Soil Science Division, Enschede, NL. 3rd Revised Version, 26-March-2002. 26pp. (First version December 2001)

    On-line versions

  4. Rossiter, DG 2000. Lecture Notes & Reference: Methodology for Soil Resource Inventories . ITC Lecture Notes SOL.SRI. Enschede, the Netherlands: ITC. 132pp. 2nd revised version, March-2000. (First version February 1998)

    On-line version PDF (392 Kb)

  5. Rossiter, DG; Vargas Rojas, R 2004. Metodologías para el levantamiento del recurso suelo . ITC, Enschede, the Netherlands; CLAS, Cochabamba, Bolivia. 145pp. Agosto 2004.

    This is a Spanish-language translation and adaptation of the previous.
    On-line version PDF (1.1 Mb)

Other monographs

  1. Husnjak, S; Rossiter, DG; Hengl, T; Milos, C. In press Soil inventory and soil classification in Croatia: historical review, current activities, and future directions. ISRIC Country Report

    Preprint PDF (317 Kb)

  2. Atkilt Girma; Rossiter, DG; Siderius, W; and Henneman, R. 2001. Soils of the Lake Naivasha area, Kenya: Summary of investigations by the Soil Science Division, ITC. Technical Report ITC Soil Science Division, Enschede, NL. July 2001. 25pp.

    On-line version PDF (718 Kb)

  3. Atkilt Girma and Rossiter, DG 2001. Soil investigations on the Sulmac farm, Naivasha, Kenya by the Soil Science Division, ITC. Technical Report ITC Soil Science Division, Enschede, NL. July 2001. 29pp.

    On-line version PDF (1,098 Kb)

  4. Rossiter, DG, & Van Wambeke, A. R. 1997. Automated Land Evaluation System (ALES) Version 4.65 User's Manual, February 1997 printing. Ithaca, NY: Cornell University, Department of Soil, Crop & Atmospheric Sciences. SCAS Teaching Series No. T93-2 Revision 6. 284pp.

    On-line version PDF (1,104 Kb)

  5. Rossiter, DG 1994. Lecture notes: land evaluation. August 1994. Ithaca, NY: Cornell University, Department of Soil, Crop & Atmospheric Sciences. SCAS Teaching Series No. T94-1. 230pp.
  6. Riha, Susan J., Rossiter, DG, and Simoens, Patrick. 1994. GAPS: General-purpose Atmosphere-Plant-Soil Simulator. Version 3.0 User s Manual. Ithaca, NY: Cornell University Department of Soil, Crop & Atmospheric Sciences. 195pp.

    On-line version PDF (1.7 Mb)

  7. Rossiter, DG 1993. Evaluación Automatizada de Tierras: Notas de conferencia. Maracay: Universidad Central de Venezuela, Facultad de Agronomía. 38 pp.
  8. Rossiter, DG 1992. Introducción a los Sistemas de Información Geográfica: Notas de conferencia. Maracay: Universidad Central de Venezuela, Facultad de Agronomía. 49 pp.
  9. Rossiter, DG 1991. Modern computer programming techniques for environmental simulation modelling. Ithaca, NY: Cornell University Department of Soil, Crop & Atmospheric Sciences. SCAS Teaching Series No. T91-1. 24pp.
  10. Forbes, TR, Rossiter, DG, and Van Wambeke, AR. 1982. Guidelines for evaluating the adequacy of soil resources inventories. SMSS Technical Monograph No. 4. Soil Management Support Service, USDA/Soil Conservation Service, Washington, DC. 50pp.

    Somewhat outdated but often cited; the approach is stil valid. It is difficult to find in hard copy so here's a scanned copy.

    On-line version PDF (9.64 Mb)

To Top Book Chapters

  1. Rossiter, D. G., Hewitt, A. E., & Dominati, E. J. (2018). Pedometric valuation of the soil resource. In Pedometrics (pp. 521–546). Springer DOI: 10.1007/978-3-319-63439-5_17
  2.   Rossiter, D G. 2016. Digital soil resource inventories: Status and prospects in 2015. DOI: 10.1007/978-981-10-0415-5_22. In: Digital Soil Mapping across paradigms, scales and boundaries. G.-L.Zhang et al. (Eds.), Springer. ISBN: 978-981-10-0414-8 (Print) 978-981-10-0415-5 (Online). doi:10.1007/978-981-10-0415-5_22

    Preprint from Proceedings 6th Global Workshop on Digital Soil Mapping, Nanjing, 11-14 November 2014. G.-L.Zhang, X.-D. Song et al. (Eds.) PDF (226 Kb)

  3. Rossiter, D G. 2016. Knowledge is power: where geopedologic insights are necessary for predictive digital soil mapping. In: Geopedology. J. A. Zinck, G. Metternicht, G. Bocco, & H. F. D. Valleet al. (Eds.).Springer International Publishing. ISBN 978-3-319-19158-4 978-3-319-19159-1. doi:10.1007/978-3-319-19159-1_13
  4. Rossiter, D G. 2012. A pedometric approach to valuing the soil resource. In: Digital soil assessments and beyond. B. Minasny, B. P. Malone, & A. B. McBratney (Eds.). CRC Press. ISBN 978-0-415-62155-7 (print) 978-0-203-10610-5 (e-book). Chapter 5, pp. 25-30.

    e-book at CRC   Preprint PDF (968 Kb)

  5. Rossiter, D G. 2008. Digital Soil Mapping as a Component of Data Renewal for Areas with Sparse Soil Data Infrastructures. In: Digital Soil Mapping with Limited Data. A.E. Hartemink, A.B. McBratney, M. de L. Mendonça-Santos (editors). Springer. ISBN 978-1-4020-8591-8 (Print) 978-1-4020-8592-5 (Online). pp. 69-80.

    On-line at Springer

  6. Krol, B, Rossiter, D and W Siderius. 2006. Ontology-based multi-source data integration for digital soil mapping. In: Digital Soil Mapping: An Introductory Perspective. P. Lagacherie, A.B. McBratney and M. Voltz (editors). Developments in Soil Science 31, Elsevier. ISBN 0-444-52958-6. pp. 121-135.
  7. Rossiter, DG 2003 Biophysical models in land evaluation. Article 1.5.27 in Theme 1.5 Land Use and Land Cover, Verheye, W.H. (ed.), in Encyclopedia of Life Support Systems (EOLSS), developed under the auspices of the UNESCO. Oxford: EOLSS Publishers. [http://www.eolss.net].

    Preprint PDF (236 Kb)

  8. Hoogenboom, Gerrit; León Pérez, Carlos; Rossiter, David; & van Laake, Patrick. 1999. Biophysical agricultural assessment and management models for developing countries. in: Quantifying sustainable development: the future of tropical economies, Hall, Charles S., van Laake, P., Leclerc, G. (editors), Academic Press, New York, ISBN 0-12-318860-1.

To Top Book Reviews

  1. Rossiter, David G.. 2013. Research resource review: "Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology" by Yongwan Chun and Daniel A. Griffith; SAGE (2013). Progress in Physical Geography 37(6) 859–860
  2. Rossiter, DG. 2011. Book review: "Manual of methods for soil and land evaluation" edited by E.A.C. Costantini et al (2009). Soil Science Society of America Journal 75(3)
  3. Rossiter, DG. 2009. Book review: "Guidelines for surveying soil and land resources (2nd ed.)" edited by McKenzie, Grundy, Webster, & Ringrose-Voase. (2008) Geoderma 148(3-4) p. 49
  4. Rossiter, DG. 2009. Book review: "Land evaluation: towards a revised framework: Land and water discussion paper 6" by the FAO. (2007) Geoderma 148(3-4) pp. 48-49
  5. Rossiter, DG 1994. Book review: "Multiobjective Decision Support for Environmental Management" by Ron Janssen, Kluwer Academic Publishers. Journal of Environmental Quality.

To Top Datasets

  1. Cambule, A. H. (Armindo); Rossiter, D. G. (David) 2013. Limpopo National Park (Mozambique) Soil Organic Carbon study. University of Twente. Dataset. doi: 10.4121/uuid:6cb98f84-f0de-47d4-8a2c-d6aaeaf5db08

To Top Conferences

Note: Does not include conference papers that then were published in journals or as book chapters.

  1. Rossiter, DG. 2004 Classification of urban & industrial soils in the World Reference Base for Soil Resources. EUROSOIL 2004: 2nd European Soil Science Conference; 04-12 September 2004, Freiburg im Bresgau (D)

    Presentation slides PDF (2Mb)

  2. Hennemann, G.R. and Rossiter, DG. 2004. Training needs for the next generation of soil surveyors. International Conference on Innovative Techniques in Soil Survey; 22-26 March 2004, Cha-Am, Thailand.

    Paper PDF (517 Kb)
    Spanish translation by Ronald Vargas PDF (210 Kb)

  3. Rossiter, DG and Burghardt, Wolfgang. 2003. Classification of urban & industrial soils in the World Reference Base for Soil Resources. SUITMA 2003: 2nd International Conference of the Working Group "Soils of Urban, Industrial, Traffic and Mining Areas" (SUITMA) of the International Union of Soil Science (IUSS); 09-11 July 2003, Nancy (F)

    Abstract PDF (95 Kb)

    Working document for comments PDF (125 Kb)

  4. Rossiter, DG 2002. On-line soil resource inventories: status and prospects. Proceedings of the 17th World Congress of Soil Science, August 2002, Bangkok, Thailand.

    Paper from Proceedings CD-ROM PDF (178 Kb). Note: This was re-worked into a journal article.

To Top Videos

  1. Digital soil resource inventories stutus and prospects

    Lecture from the IRSIC Spring School 2015.

To Top Half baked

  1. Rossiter, DG. (unpublished, PREPRINT of 31-August-2001) Assessing the thematic accuracy of area-class soil maps, with links to download R and MATLAB functions for computing measures on confusion (error) matrices
    Note: the material in this reprint dealing with the statistics of accuracy assessment have been refined and formated as a a technical note.

To Top Computer Programs

  1. GAPS (substantial enhancements and revision, V2 1991): A general-purpose simulation of the atmosphere-soil-crop system. Interactive (including run-time graphics) and batch versions. Object-oriented crop model framework written in Turbo Pascal 5.5, 6, 7 and 9 (Delphi).

    November 1996: Conversion to a Microsoft Windows program, using Borland's Delphi 2.0 Developer for Windows 95 and the ChartFX 3.0 OCX from SoftwareFX. Implementation of inter-species plant competition, as an object hierarchy.

  2. ALES (V1 1988, V2 1989, V3 1991, V4 1993, V4.5 1994, V4.6 1995) - Automated Land Evaluation System: A framework for land evaluation computer systems; a shell within which land evaluators can build their own expert systems to perform land evaluation. Includes an interface to the IDRISI GIS and xBase files, including PC-Arc/Info and ArcView maps. Written in ISO Standard M (a.k.a. MUMPS). with DataTree (later purchased by Intersystems) extensions for MS-DOS.
  3. New York State College of Veterinary Medicine, Information Systems: subsystems for data entry, record keeping, report generation, and query processing for Histopathology (1978), Pharmacy (1980), Radiology (1981), Necropsy (1981); electronic mail system and user access control (1983). Written in ISO Standard M (see link under ALES, above).

To Top Peer Reviews

Peer reviewing is one of the most important activities for the collective scientific enterprise. Unfortunately reviewers usually get no time for this activity and no credit from their employer in performance reviews. Something has to change in this system. I try to do my fair share and do the ones I accept thoroughly. Obviously, I can't list the manuscripts (confidentiality), only the journal and number of reviews.

I am an Associate Editor of European Journal of Soil Science

I am on the editorial board of CATENA, and Geoderma.

Most of my peer reviews (as well as publications) are collected at publons

To Top Non-scientific

  1. Lee, Hardy Campbell. 2008 (2nd ed.; first ed. 1977) A History of Railroads in Tompkins County. Revised and enlarged by Winton Rossiter, maps by David Rossiter. Ithaca, NY: The History Center in Tompkins County

Author: DG Rossiter URL: http://www.css.cornell.edu/faculty/dgr2/pubs/list.html
E-Mail: dgr2 (at) cornell.edu Last modified: Fri Sep 20 10:22:27 CEST 2019

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