Akpa, S., Odeh, I., Bishop, T., Hartemink, A., and Amapu, I.:
Total soil organic carbon and carbon sequestration potential in Nigeria,
Geoderma,
271, 202-215, https://doi.org/10.1016/j.geoderma.2016.02.021, 2016.
Arrouays, D., McBratney, A. B., Minasny, B., Hempel, J. W., Heuvelink, G. B. M., MacMillan, R. A., Hartemink, A. E., Lagacherie, P., and McKenzie, N. J.:
The GlobalSoilMap project specifications,
Glob. Basis Glob. Spat. Soil Inf. Syst.,
Taylor & Francis Group, London, 9–12, 2014.
Brus, D., Orton, T., Walvoort, D., Reijneveld, J., and Oenema, O.:
Disaggregation of soil testing data on organic matter by the summary statistics approach to area-to-point kriging,
Geoderma,
226–227, 151–159, https://doi.org/10.1016/j.geoderma.2014.02.011, 2014.
Cressie, N.:
Statistics for spatial data,
Wiley, Hoboken, NJ, 2011.
de Brogniez, D., Ballabio, C., Stevens, A., Jones, R., Montanarella, L., and van Wesemael, B.:
A map of the topsoil organic carbon content of Europe generated by a generalized additive model,
Eur. J. Soil Sci.,
66, 121–134, https://doi.org/10.1111/ejss.12193, 2014.
de Gruijter, J., McBratney, A., Minasny, B., Wheeler, I., Malone, B., and Stockmann, U.: Farm-scale soil carbon auditing,
Geoderma,
265, 120–130, https://doi.org/10.1016/j.geoderma.2015.11.010, 2016.
Draper, D.:
Assessment and Propagation of Model Uncertainty,
J. Roy. Stat. Soc. B Met.,
57, 45–70, https://doi.org/10.1111/j.2517-6161.1995.tb02015.x, 1995.
Gelfand, A.:
On the change of support problem for spatio-temporal data,
Biostatistics,
2, 31–45, https://doi.org/10.1093/biostatistics/2.1.31, 2001.
Goovaerts, P.:
Kriging and semivariogram deconvolution in the presence of irregular geographical units,
Math. Geosci.,
40, 101–128, 2008.
Goovaerts, P.:
A coherent geostatistical approach for combining choropleth map and field data in the spatial interpolation of soil properties,
Eur. J. Soil Sci.,
62, 371–380, 2011.
Gotway, C. A. and Young, L. J.:
Combining incompatible spatial data,
J. Am. Stat. Assoc.,
97, 632–648, 2002.
Gotway, C. A. and Young, L. J.:
A geostatistical approach to linking geographically aggregated data from different sources,
J. Comput. Graph. Stat.,
16, 115–135, 2007.
Grundy, M., Rossel, R. V, Searle, R., Wilson, P., Chen, C., and Gregory, L.:
Soil and landscape grid of Australia,
Soil Res.,
53, 835–844, 2015.
Grunwald, S.:
Multi-criteria characterization of recent digital soil mapping and modeling approaches,
Geoderma,
152, 195–207, 2009.
Kerry, R., Goovaerts, P., Rawlins, B. G., and Marchant, B. P.:
Disaggregation of legacy soil data using area to point kriging for mapping soil organic carbon at the regional scale,
Geoderma,
170, 347–358, 2012.
Kyriakidis, P. C.:
A geostatistical framework for area-to-point spatial interpolation,
Geogr. Anal.,
36, 259–289, 2004.
Lagacherie, P.: Digital Soil Mapping: A State of the Art, in: Digital Soil Mapping with Limited Data, edited by: Hartemink, A. E., McBratney, A., and de L. Mendonça-Santos, M., Springer Netherlands, Dordrecht, 3–14, 2008.
Lin, L. I.-K.: A Concordance Correlation Coefficient to Evaluate Reproducibility, Biometrics, 45, 255–268, 1989.
Liu, D. S. and Pu, R. L.:
Downscaling thermal infrared radiance for subpixel land surface temperature retrieval,
Sensors,
8, 2695–2706, 2008.
Malone, B. P., McBratney, A. B., Minasny, B., and Laslett, G. M.:
Mapping continuous depth functions of soil carbon storage and available water capacity,
Geoderma,
154, 138–152, 2009.
Malone, B. P., McBratney, A. B., and Minasny, B.:
Spatial scaling for digital soil mapping,
Soil Sci. Soc. Am. J.,
77, 890–902, 2013.
Malone, B. P., Styc, Q., Minasny, B., and McBratney, A. B.:
Digital soil mapping of soil carbon at the farm scale: A spatial downscaling approach in consideration of measured and uncertain data,
Geoderma,
290, 91–99, 2017.
McBratney, A. B., Santos, M. L. M., and Minasny, B.:
On digital soil mapping,
Geoderma,
117, 3–52, 2003.
Minty, B., Franklin, R., Milligan, P., Richardson, M., and Wilford, J.:
The radiometric map of Australia,
Explor. Geophys.,
40, 325–333, 2009.
Mulder, V. L., Lacoste, M., Richer-de-Forges, A. C., and Arrouays, D.:
GlobalSoilMap France: High-resolution spatial modelling the soils of France up to two meter depth,
Sci. Total Environ.,
573, 1352–1369, 2016.
Nagle, N. N., Sweeney, S. H., and Kyriakidis, P. C.:
A Geostatistical Linear Regression Model for Small Area Data,
Geogr. Anal.,
43, 38–60, 2011.
Odgers, N. P., Sun, W., McBratney, A. B., Minasny, B., and Clifford, D.:
Disaggregating and harmonising soil map units through resampled classification trees,
Geoderma,
214, 91–100, 2014.
Pardo-Igúzquiza, E. and Atkinson, P. M.:
Modelling the semivariograms and cross-semivariograms required in downscaling cokriging by numerical convolution–deconvolution,
Comput. Geosci.,
33, 1273–1284, https://doi.org/10.1016/j.cageo.2007.05.004, 2007.
Reid, A., Ramos, F., and Sukkarieh, S.: Bayesian Fusion for Multi-Modal Aerial Images, in: Proceedings of robotics: science and systems, Berlin, Germany, Cambridge, MA: MIT Press, 1–8, 2013.
Román Dobarco, M., Orton, T. G., Arrouays, D., Lemercier, B., Paroissien, J.-B., Walter, C., and Saby, N. P. A.:
Prediction of soil texture using descriptive statistics and area-to-point kriging in Region Centre (France),
Geoderma Regional,
7, 279–292, 2016.
Roudier, P., Malone, B. P., Hedley, C. B., Minasny, B., and McBratney, A. B.:
Comparison of regression methods for spatial downscaling of soil organic carbon stocks maps,
Comput. Electron. Agr.,
142, 91–100, https://doi.org/10.1016/j.compag.2017.08.021, 2017.
Somarathna, P. D. S. N., Malone, B. P., and Minasny, B.:
Mapping soil organic carbon content over New South Wales, Australia using local regression kriging,
Geoderma Regional Journal,
7, 38–48, https://doi.org/10.1016/j.geodrs.2015.12.002, 2016.
Truong, P. N., Heuvelink, G. B. M., and Pebesma, E.:
Bayesian area-to-point kriging using expert knowledge as informative priors,
Int. J. Appl. Earth Obs.,
30, 128–138, https://doi.org/10.1016/j.jag.2014.01.019, 2014.
Wang, Q., Shi, W., Atkinson, P. M., and Zhao, Y.:
Downscaling MODIS images with area-to-point regression kriging,
Remote Sens. Environ.,
166, 191–204, https://doi.org/10.1016/j.rse.2015.06.003, 2015.
Wikle, C. K.: Low-rank representations for spatial processes, in: Handbook of spatial statistics, edited by: Gelfand, A. E., Diggle, P. J., Fuentes, M., and Guttorp, P., 114–125, CRC Press, Chapman & Hall/CRC, Boca Raton, 2010.
