raster: Geographic Data Analysis and Modeling

SoilGrids250m: Global gridded soil information based on machine learning

Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M., Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169748 · Cited by 4,733

Global effects of land use on local terrestrial biodiversity

Newbold, T., Hudson, L. N., Hill, S. L. L., Contu, S., Lysenko, I., Senior, R. A., Börger, L., Bennett, D. J., Choimes, A., Collen, B., et al. (2015) · Nature · doi:10.1038/nature14324 · Cited by 4,352

Physiological plasticity increases resilience of ectothermic animals to climate change

Seebacher, F., White, C. R., & Franklin, C. E. (2015) · Nature Climate Change · doi:10.1038/nclimate2457 · Cited by 998

Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics

Fourcade, Y., Besnard, A. G., & Secondi, J. (2018) · Global Ecology and Biogeography · doi:10.1111/geb.12684 · Cited by 500

Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models

Varela, S., Anderson, R. P., García‐Valdés, R., & Fernández‐González, F. (2014) · Ecography · doi:10.1111/j.1600-0587.2013.00441.x · Cited by 433

Mapping human pressures on biodiversity across the planet uncovers anthropogenic threat complexes

Bowler, D. E., Bjorkman, A. D., Dornelas, M., Myers‐Smith, I. H., Navarro, L. M., Niamir, A., Supp, S. R., Waldock, C., Winter, M., Vellend, M., et al. (2020) · People and Nature · doi:10.1002/pan3.10071 · Cited by 287

Widespread winners and narrow-ranged losers: Land use homogenizes biodiversity in local assemblages worldwide

Newbold, T., Hudson, L. N., Contu, S., Hill, S. L. L., Beck, J., Liu, Y., Meyer, C., Phillips, H. R. P., Scharlemann, J. P. W., & Purvis, A. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2006841 · Cited by 287

ResistanceGA: An R package for the optimization of resistance surfaces using genetic algorithms

Peterman, W. E. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12984 · Cited by 280

Amazonian tree species threatened by deforestation and climate change

Gomes, V. H. F., Vieira, I. C. G., Salomão, R. P., & ter Steege, H. (2019) · Nature Climate Change · doi:10.1038/s41558-019-0500-2 · Cited by 209

Mapping the burden of cholera in sub-Saharan Africa and implications for control: an analysis of data across geographical scales

Lessler, J., Moore, S. M., Luquero, F. J., McKay, H. S., Grais, R., Henkens, M., Mengel, M., Dunoyer, J., M'bangombe, M., Lee, E. C., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)33050-7 · Cited by 192

Open digital mapping as a cost-effective method for mapping peat thickness and assessing the carbon stock of tropical peatlands

Rudiyanto, Minasny, B., Setiawan, B. I., Saptomo, S. K., & McBratney, A. B. (2018) · Geoderma · doi:10.1016/j.geoderma.2017.10.018 · Cited by 143

Quantifying understory vegetation density using small-footprint airborne lidar

Campbell, M. J., Dennison, P. E., Hudak, A. T., Parham, L. M., & Butler, B. W. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.06.023 · Cited by 126

Nearest neighbour distance matching Leave‐One‐Out Cross‐Validation for map validation

Milà, C., Mateu, J., Pebesma, E., & Meyer, H. (2022) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13851 · Cited by 119

Location-level processes drive the establishment of alien bird populations worldwide

Redding, D. W., Pigot, A. L., Dyer, E. E., Şekercioğlu, Ç. H., Kark, S., & Blackburn, T. M. (2019) · Nature · doi:10.1038/s41586-019-1292-2 · Cited by 99

Susceptibility of European freshwater fish to climate change: Species profiling based on life‐history and environmental characteristics

Jarić, I., Lennox, R. J., Kalinkat, G., Cvijanović, G., & Radinger, J. (2019) · Global Change Biology · doi:10.1111/gcb.14518 · Cited by 79

Conservation or Co-evolution? Intermediate Levels of Aboriginal Burning and Hunting Have Positive Effects on Kangaroo Populations in Western Australia

Codding, B. F., Bliege Bird, R., Kauhanen, P. G., & Bird, D. W. (2014) · Human Ecology · doi:10.1007/s10745-014-9682-4 · Cited by 75

Using step‐selection functions to model landscape connectivity for African elephants: accounting for variability across individuals and seasons

Osipova, L., Okello, M. M., Njumbi, S. J., Ngene, S., Western, D., Hayward, M. W., & Balkenhol, N. (2019) · Animal Conservation · doi:10.1111/acv.12432 · Cited by 71

Mapping artificial lightscapes for ecological studies

Bennie, J., Davies, T. W., Inger, R., & Gaston, K. J. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12182 · Cited by 71

Hyperspectral imagery for disaggregation of land surface temperature with selected regression algorithms over different land use land cover scenes

Ghosh, A., & Joshi, P. K. (2014) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2014.07.003 · Cited by 69

Substrate and climate determine terrestrial litter decomposition

Wu, Q., Ni, X., Sun, X., Chen, Z., Hong, S., Berg, B., Zheng, M., Chen, J., Zhu, J., Ai, L., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2420664122 · Cited by 67

Gendered movement ecology and landscape use in Hadza hunter-gatherers

Wood, B. M., Harris, J. A., Raichlen, D. A., Pontzer, H., Sayre, K., Sancilio, A., Berbesque, C., Crittenden, A. N., Mabulla, A., McElreath, R., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-020-01002-7 · Cited by 57

Probabilistic modelling for incorporating uncertainty in least cost path results: a postdictive roman road case study

Lewis, J. (2021) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-021-09522-w · Cited by 53

Variation in wild pea (Pisum sativum subsp.elatius) seed dormancy and its relationship to the environment and seed coat traits

Hradilová, I., Duchoslav, M., Brus, J., Pechanec, V., Hýbl, M., Kopecký, P., Smržová, L., Štefelová, N., Vaclávek, T., Bariotakis, M., et al. (2019) · PeerJ · doi:10.7717/peerj.6263 · Cited by 52

Circulation of Dirofilaria repens and Dirofilaria immitis in Moldova

Șuleșco, T., von Thien, H., Toderaș, L., Toderaș, I., Lühken, R., & Tannich, E. (2016) · Parasites & Vectors · doi:10.1186/s13071-016-1916-4 · Cited by 40

The role of accessibility for land use and land cover change in the Brazilian Amazon

Schielein, J., Ponzoni Frey, G., Miranda, J., Souza, R. A. D., Boerner, J., & Henderson, J. (2021) · Applied Geography · doi:10.1016/j.apgeog.2021.102419 · Cited by 25

Using transcriptomics to examine the physiological status of wild-caught walleye (Sander vitreus)

Jeffrey, J. D., Thorstensen, M. J., Enders, E. C., Treberg, J. R., & Jeffries, K. M. (2023) · FACETS · doi:10.1139/facets-2022-0177 · Cited by 22

Regional paleoclimates and local consequences: Integrating GIS analysis of diachronic settlement patterns and process-based agroecosystem modeling of potential agricultural productivity in Provence (France)

Contreras, D. A., Hiriart, E., Bondeau, A., Kirman, A., Guiot, J., Bernard, L., Suarez, R., & Van Der Leeuw, S. (2018) · PLOS ONE · doi:10.1371/journal.pone.0207622 · Cited by 16

Spatial ecology of the stone marten in an Alpine area: combining camera-trapping and genetic surveys

Balestrieri, A., Mosini, A., Fonda, F., Piana, M., Tirozzi, P., Ruiz-González, A., Capelli, E., Vergara, M., Chueca, L. J., Chiatante, G., et al. (2021) · Mammal Research · doi:10.1007/s13364-021-00564-9 · Cited by 11