| Mapping species distributions: spatial inference and prediction J Franklin, JA Miller Cambridge University Press, 2009 | 3742 | 2009 |
| Incorporating spatial dependence in predictive vegetation models J Miller, J Franklin, R Aspinall Ecological modelling 202 (3-4), 225-242, 2007 | 379 | 2007 |
| Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence J Miller, J Franklin Ecological Modelling 157 (2-3), 227-247, 2002 | 356 | 2002 |
| Species distribution modeling J Miller Geography Compass 4 (6), 490-509, 2010 | 350 | 2010 |
| Mapping land-cover modifications over large areas: A comparison of machine learning algorithms J Rogan, J Franklin, D Stow, J Miller, C Woodcock, D Roberts Remote Sensing of Environment 112 (5), 2272-2283, 2008 | 348 | 2008 |
| Land-cover change monitoring with classification trees using Landsat TM and ancillary data J Rogan, J Miller, D Stow, J Franklin, L Levien, C Fischer Photogrammetric Engineering & Remote Sensing 69 (7), 793-804, 2003 | 310 | 2003 |
| Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic B Ghimire, J Rogan, J Miller Remote Sensing Letters 1 (1), 45-54, 2010 | 294 | 2010 |
| Species distribution models: Spatial autocorrelation and non-stationarity JA Miller Progress in Physical Geography 36 (5), 681-692, 2012 | 143 | 2012 |
| Double-blind comparison of cetirizine and placebo in the treatment of seasonal rhinitis. CJ Falliers, ML Brandon, E Buchman, JT Connell, R Dockhorn, PT Leese, ... Annals of allergy 66 (3), 257-262, 1991 | 126 | 1991 |
| Towards an integrated science of movement: converging research on animal movement ecology and human mobility science HJ Miller, S Dodge, J Miller, G Bohrer International Journal of Geographical Information Science 33 (5), 855-876, 2019 | 107 | 2019 |
| Analysis of movement data S Dodge, R Weibel, SC Ahearn, M Buchin, JA Miller International Journal of Geographical Information Science 30 (5), 825-834, 2016 | 101 | 2016 |
| Integrating GIS and remotely sensed data for mapping forest disturbance and change J Rogan, J Miller, MA Wulder, SE Franklin Understanding forest disturbance and spatial pattern: Remote sensing and GIS …, 2006 | 85 | 2006 |
| Mapping paleo-fire boundaries from binary point data: comparing interpolation methods A Hessl, J Miller, J Kernan, D Keenum, D McKenzie The Professional Geographer 59 (1), 87-104, 2007 | 79 | 2007 |
| Virtual species distribution models: using simulated data to evaluate aspects of model performance JA Miller Progress in Physical Geography 38 (1), 117-128, 2014 | 76 | 2014 |
| Incorporating movement in species distribution models JA Miller, P Holloway Progress in Physical Geography 39 (6), 837-849, 2015 | 68 | 2015 |
| Using a novel model approach to assess the distribution and conservation status of the endangered Baird's tapir CJ Schank, MV Cove, MJ Kelly, E Mendoza, G O'Farrill, R Reyna‐Hurtado, ... Diversity and Distributions 23 (12), 1459-1471, 2017 | 67 | 2017 |
| Incorporating spatial dependence in predictive vegetation models: residual interpolation methods J Miller The Professional Geographer 57 (2), 169-184, 2005 | 67 | 2005 |
| Using GIS and remote sensing for ecological mapping and monitoring J Miller, J Rogan Integration of GIS and remote sensing 3, 233, 2007 | 54 | 2007 |
| Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? P Holloway, JA Miller, S Gillings International Journal of Geographical Information Science 30 (10), 2050-2074, 2016 | 51 | 2016 |
| Spatial nonstationarity and the scale of species–environment relationships in the Mojave Desert, California, USA JA Miller, RQ Hanham International Journal of Geographical Information Science 25 (3), 423-438, 2011 | 51 | 2011 |
Janet Franklin, Campanile Foundation...San Diego State University在 sdsu.edu 的电子邮件经过验证
