Shawn W. Laffan

Orcid: 0000-0002-5996-0570

Affiliations:
  • University of New South Wales, Australia


According to our database1, Shawn W. Laffan authored at least 19 papers between 2002 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A geographically partitioned cellular automata model for the expansion of residential areas.
Trans. GIS, 2022

Estimating door-to-door travel time using a synthetic population enriched with smart card data.
Int. J. Geogr. Inf. Sci., 2022

2020
Modeling movement, distributions, diversity, and disturbance: introduction to the fifth special issue on spatial ecology.
Int. J. Geogr. Inf. Sci., 2020

2018
The Use of Particle Swarm Optimization for a Vector Cellular Automata Model of Land Use Change (Short Paper).
Proceedings of the 10th International Conference on Geographic Information Science, 2018

2016
Space, time, connectivity and conflict in biological landscapes: the fourth special issue on spatial ecology.
Int. J. Geogr. Inf. Sci., 2016

The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data.
Environ. Model. Softw., 2016

2014
Using maps of continuous variation in species compositional turnover to supplement uniform polygon species range maps.
Int. J. Geogr. Inf. Sci., 2014

Species distribution and diversity, habitat selection and connectivity: introduction to the Third Special Issue on Spatial Ecology.
Int. J. Geogr. Inf. Sci., 2014

2012
Geospatial analysis of species, biodiversity and landscapes: introduction to the second special issue on spatial ecology.
Int. J. Geogr. Inf. Sci., 2012

Spatial non-stationarity and anisotropy of compositional turnover in eastern Australian Myrtaceae species.
Int. J. Geogr. Inf. Sci., 2012

The effect of species geographical distribution estimation methods on richness and phylogenetic diversity estimates.
Int. J. Geogr. Inf. Sci., 2012

2011
Incorporating a distance cost in systematic reserve design.
Int. J. Geogr. Inf. Sci., 2011

There is no good excuse for a bad random number generator: a reply to Barry.
Int. J. Geogr. Inf. Sci., 2011

2010
A spatial approach to select pilot counties for programs to correct the biased sex ratio at birth in Shandong province, China.
Int. J. Geogr. Inf. Sci., 2010

Morphometric characterisation of landform from DEMs.
Int. J. Geogr. Inf. Sci., 2010

2009
Sensitivity analysis of a decision tree classification to input data errors using a general Monte Carlo error sensitivity model.
Int. J. Geogr. Inf. Sci., 2009

2005
Sparse Grids: a new predictive modelling method for the analysis of geographic data.
Int. J. Geogr. Inf. Sci., 2005

2003
Kimberly van Niel, Shawn W. LaffanGambling with randomness: the use of pseudo-random number generators in GIS.
Int. J. Geogr. Inf. Sci., 2003

2002
Using process models to improve spatial analysis.
Int. J. Geogr. Inf. Sci., 2002


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