Statistics for Spatial Data

Efficient Global Optimization of Expensive Black-Box Functions

Jones, D. R., Schonlau, M., & Welch, W. J. (1998) · Journal of Global Optimization · doi:10.1023/a:1008306431147 · Cited by 8,070 · see citing works

Methods to account for spatial autocorrelation in the analysis of species distributional data: a review.

F. Dormann, C., M. McPherson, J., B. Araújo, M., Bivand, R., Bolliger, J., Carl, G., G. Davies, R., Hirzel, A., Jetz, W., Daniel Kissling, W., et al. (2007) · Ecography · doi:10.1111/j.2007.0906-7590.05171.x · Cited by 3,433 · see citing works

Positive biodiversity-productivity relationship predominant in global forests

Liang, J., Crowther, T. W., Picard, N., Wiser, S., Zhou, M., Alberti, G., Schulze, E.-D., McGuire, A. D., Bozzato, F., Pretzsch, H., et al. (2016) · Science · doi:10.1126/science.aaf8957 · Cited by 1,490 · see citing works

Energy Harvesting Wireless Communications: A Review of Recent Advances

Ulukus, S., Yener, A., Erkip, E., Simeone, O., Zorzi, M., Grover, P., & Huang, K. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2391531 · Cited by 805 · see citing works

Functional biotic homogenization of bird communities in disturbed landscapes

Devictor, V., Julliard, R., Clavel, J., Jiguet, F., Lee, A., & Couvet, D. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00364.x · Cited by 463 · see citing works

Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods

DE LOS CAMPOS, G., GIANOLA, D., ROSA, G. J. M., WEIGEL, K. A., & CROSSA, J. (2010) · Genetics Research · doi:10.1017/s0016672310000285 · Cited by 361 · see citing works

Machine learning-based global maps of ecological variables and the challenge of assessing them

Meyer, H., & Pebesma, E. (2022) · Nature Communications · doi:10.1038/s41467-022-29838-9 · Cited by 310 · see citing works

A comparison of spatial interpolation methods to estimate continuous wind speed surfaces using irregularly distributed data from England and Wales

Luo, W., Taylor, M. C., & Parker, S. R. (2008) · International Journal of Climatology · doi:10.1002/joc.1583 · Cited by 273 · see citing works

Cross-boundary human impacts compromise the Serengeti-Mara ecosystem

Veldhuis, M. P., Ritchie, M. E., Ogutu, J. O., Morrison, T. A., Beale, C. M., Estes, A. B., Mwakilema, W., Ojwang, G. O., Parr, C. L., Probert, J., et al. (2019) · Science · doi:10.1126/science.aav0564 · Cited by 265 · see citing works

Grazers, browsers, and fire influence the extent and spatial pattern of tree cover in the Serengeti.

Holdo, R. M., Holt, R. D., & Fryxell, J. M. (2009) · Ecological Applications · doi:10.1890/07-1954.1 · Cited by 198 · see citing works

Bayesian Analysis of Agricultural Field Experiments

Besag, J., & Higdon, D. (1999) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00201 · Cited by 183 · see citing works

Modelling potential spawning habitat of sardine ( <i>Sardina pilchardus</i> ) and anchovy ( <i>Engraulis encrasicolus</i> ) in the Bay of Biscay

PLANQUE, B., BELLIER, E., & LAZURE, P. (2007) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2006.00411.x · Cited by 184 · see citing works

Geographic distribution of environmental factors influencing human skin coloration

Chaplin, G. (2004) · American Journal of Physical Anthropology · doi:10.1002/ajpa.10263 · Cited by 154 · see citing works

The Concordance Correlation Coefficient for Repeated Measures Estimated by Variance Components

Carrasco, J. L., King, T. S., & Chinchilli, V. M. (2009) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543400802527890 · Cited by 111 · see citing works

Rationalizing Three-Dimensional Activity Landscapes and the Influence of Molecular Representations on Landscape Topology and the Formation of Activity Cliffs

Peltason, L., Iyer, P., & Bajorath, J. (2010) · Journal of Chemical Information and Modeling · doi:10.1021/ci100091e · Cited by 85 · see citing works

Impact of climate change on ambient ozone level and mortality in southeastern United States

Chang, H. H., Zhou, J., & Fuentes, M. (2010) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph7072866 · Cited by 82 · see citing works

In-plane shape-deviation modeling and compensation for fused deposition modeling processes

Wang, A., Song, S., Huang, Q., & Tsung, F. (2017) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2016.2544941 · Cited by 79 · see citing works

Bayesian multi-task learning for decoding multi-subject neuroimaging data

Marquand, A. F., Brammer, M., Williams, S. C. R., & Doyle, O. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.008 · Cited by 59 · see citing works

The effect of landscape position on biomass crop yield

Thelemann, R., Johnson, G., Sheaffer, C., Banerjee, S., Cai, H., & Wyse, D. (2010) · Agronomy Journal · doi:10.2134/agronj2009.0058 · Cited by 56 · see citing works

Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: A dengue case study

Johnson, L. R., Gramacy, R. B., Cohen, J., Mordecai, E., Murdock, C., Rohr, J., Ryan, S. J., Stewart-Ibarra, A. M., & Weikel, D. (2018) · The Annals of Applied Statistics · doi:10.1214/17-aoas1090 · Cited by 42 · see citing works

Close-Point Spatial Tests and Their Application to Random Number Generators

L'Écuyer, P., Cordeau, J.-F., & Simard, R. (2000) · Operations Research · doi:10.1287/opre.48.2.308.12385 · Cited by 38 · see citing works

ABC methods for model choice in Gibbs random fields

Grelaud, A., Robert, C. P., & Marin, J.-M. (2009) · Comptes Rendus. Mathématique · doi:10.1016/j.crma.2008.12.009 · Cited by 20 · see citing works

A constrained least-squares approach to combine bottom-up and top-down CO2 flux estimates

Cooley, D., Breidt, F. J., Ogle, S. M., Schuh, A. E., & Lauvaux, T. (2013) · Environmental and Ecological Statistics · doi:10.1007/s10651-012-0211-6 · Cited by 8 · see citing works

Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data

Marquand, A. F., Williams, S. C. R., Doyle, O. M., & Rosa, M. J. (2014) · 2014 International Workshop on Pattern Recognition in Neuroimaging · doi:10.1109/prni.2014.6858533 · Cited by 4 · see citing works

Bayesian Spatio-Temporal Modeling and Hotspot Mapping of Malaria Risk in Ghana

Antwi, P., Muhua, G., & Nyarko, E. (2026) · doi:10.64898/2026.05.19.26353586 · Cited by 1 · see citing works