Shawn W. Laffan

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 6

Top Topics

Cellular Automata Model

Virtual Laboratory

Top Venues

Int. J. Geogr. Inf. Sci.

Environ. Model. Softw.

Publications

Daming Wang, Shawn W. Laffan, Jing Zhang, Surong Zhang, Xusheng Li
Quantitative inversion of soil trace elements from spectroscopic effects across multiple crop growth periods. Int. J. Appl. Earth Obs. Geoinformation 132 (2024)
Yi Lu, Shawn W. Laffan, Christopher James Pettit
A geographically partitioned cellular automata model for the expansion of residential areas. Trans. GIS 26 (3) (2022)
Lauren Del Rosario, Shawn W. Laffan, Eve Slavich, Christopher James Pettit
Estimating door-to-door travel time using a synthetic population enriched with smart card data. Int. J. Geogr. Inf. Sci. 36 (9) (2022)
Jennifer A. Miller, Shawn W. Laffan, Andrew K. Skidmore, Janet Franklin
Modeling movement, distributions, diversity, and disturbance: introduction to the fifth special issue on spatial ecology. Int. J. Geogr. Inf. Sci. 34 (8) (2020)
Yi Lu, Shawn W. Laffan
The Use of Particle Swarm Optimization for a Vector Cellular Automata Model of Land Use Change (Short Paper). GIScience (2018)
Willow Hallgren, Linda Beaumont, Andrew Bowness, Lynda Chambers, Erin Graham, Hamish Holewa, Shawn W. Laffan, Brendan G. Mackey, Henry Nix, Jeff Price, Jeremy VanDerWal, Rachel Warren, Gerhard Weis
The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data. Environ. Model. Softw. 76 (2016)
Giovanni di Virgilio, Shawn W. Laffan
Using maps of continuous variation in species compositional turnover to supplement uniform polygon species range maps. Int. J. Geogr. Inf. Sci. 28 (8) (2014)
Mayra P. M. Amboni, Shawn W. Laffan
The effect of species geographical distribution estimation methods on richness and phylogenetic diversity estimates. Int. J. Geogr. Inf. Sci. 26 (11) (2012)
Shawn W. Laffan, Andrew K. Skidmore, Janet Franklin
Geospatial analysis of species, biodiversity and landscapes: introduction to the second special issue on spatial ecology. Int. J. Geogr. Inf. Sci. 26 (11) (2012)
Kimberly van Niel, Shawn W. Laffan
There is no good excuse for a bad random number generator: a reply to Barry. Int. J. Geogr. Inf. Sci. 25 (4) (2011)
Kun Zhang, Shawn W. Laffan, Daniel Ramp, Evan Webster
Incorporating a distance cost in systematic reserve design. Int. J. Geogr. Inf. Sci. 25 (3) (2011)
Daming Wang, Shawn W. Laffan, Yu Liu, Lun Wu
Morphometric characterisation of landform from DEMs. Int. J. Geogr. Inf. Sci. 24 (2) (2010)
Zhi Huang, Shawn W. Laffan
Sensitivity analysis of a decision tree classification to input data errors using a general Monte Carlo error sensitivity model. Int. J. Geogr. Inf. Sci. 23 (11) (2009)
Shawn W. Laffan, Ole Møller Nielsen, O. M. Silcock, Markus Hegland
Sparse Grids: a new predictive modelling method for the analysis of geographic data. Int. J. Geogr. Inf. Sci. 19 (3) (2005)
Kimberly van Niel, Shawn W. Laffan
Kimberly van Niel, Shawn W. LaffanGambling with randomness: the use of pseudo-random number generators in GIS. Int. J. Geogr. Inf. Sci. 17 (1) (2003)
Shawn W. Laffan
Using process models to improve spatial analysis. Int. J. Geogr. Inf. Sci. 16 (3) (2002)