Janet Franklin
Janet Franklin
Distinguished Professor Department of Botany and Plant Sciences University of California - Riverside
Verified email at ucr.edu - Homepage
Cited by
Cited by
Mapping species distributions: spatial inference and prediction
J Franklin
Cambridge University Press, 2010
Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients
J Franklin
Progress in physical geography 19 (4), 474-499, 1995
Predictive soil mapping: a review
P Scull, J Franklin, OA Chadwick, D McArthur
Progress in Physical geography 27 (2), 171-197, 2003
A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery
J Rogan, J Franklin, DA Roberts
Remote sensing of environment 80 (1), 143-156, 2002
Second-order neighborhood analysis of mapped point patterns
A Getis, J Franklin
Perspectives on Spatial Data Analysis, 93-100, 2010
Predicting the distribution of shrub species in southern California from climate and terrain‐derived variables
J Franklin
Journal of Vegetation Science 9 (5), 733-748, 1998
Moving beyond static species distribution models in support of conservation biogeography
J Franklin
Diversity and Distributions 16 (3), 321-330, 2010
Plant diversity patterns in neotropical dry forests and their conservation implications
K Banda, A Delgado-Salinas, KG Dexter, R Linares-Palomino, ...
Science 353 (6306), 1383-1387, 2016
Vegetation ecology
E Van der Maarel, J Franklin
John Wiley & Sons, 2012
Incorporating spatial dependence in predictive vegetation models
J Miller, J Franklin, R Aspinall
ecological modelling 202 (3-4), 225-242, 2007
Modeling plant species distributions under future climates: how fine scale do climate projections need to be?
J Franklin, FW Davis, M Ikegami, AD Syphard, LE Flint, AL Flint, L Hannah
Global change biology 19 (2), 473-483, 2013
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
Thematic Mapper analysis of coniferous forest structure and composition
J Franklin
International Journal of Remote Sensing 7 (10), 1287-1301, 1986
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
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
Global change and terrestrial plant community dynamics
J Franklin, JM Serra-Diaz, AD Syphard, HM Regan
Proceedings of the National Academy of Sciences 113 (14), 3725-3734, 2016
Species distribution models in conservation biogeography: developments and challenges
J Franklin
Diversity and Distributions 19 (10), 1217-1223, 2013
A neural network method for efficient vegetation mapping
GA Carpenter, S Gopal, S Macomber, S Martens, CE Woodcock, ...
Remote Sensing of Environment 70 (3), 326-338, 1999
The application of classification tree analysis to soil type prediction in a desert landscape
P Scull, J Franklin, OA Chadwick
Ecological modelling 181 (1), 1-15, 2005
Assessing the relationship between spectral vegetation indices and shrub cover in the Jornada Basin, New Mexico
J Duncan, D Stow, J Franklin, A Hope
International Journal of Remote Sensing 14 (18), 3395-3416, 1993
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