Statistical Analysis of Geographic Information with ArcView GIS And ArcGIS
By David W. S. Wong, Jay Lee, Hardcover. 2005
339 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/f5f6348dc8b7b734878d291e16ce306623349629
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Dae‐hyeon Byeon
- Sunghoon Jung
- Wang‐Hee Lee
- John K. Maingi
- R. Muasya
- Joseph M. Mukeka
- Daniel Muteti Kyale
Citations in the corpus
- Review of CLIMEX and MaxEnt for studying species distribution in South Korea (2018, methodology): “…the factors affecting the distribution of species; it has been suggested that combined use of CLIMEX with other software, for example, ArcGIS (Wong and Lee 2005), would overcome the limitations of CLIMEX through consideration of additional variables (Kriticos et al 2003; Sutherst et al 2007).”
- Comparing implementations of global and local indicators of spatial association (2018, unknown): “This progression is described in detail by Wong and Lee (2005, first edition 2001) and is presented by Scott and Janikas (2010), also covering local measures of spatial autocorrelation introduced from the mid 1990s.”
- Spatiotemporal patterns of elephant poaching in south-eastern Kenya (2012, background): “The real value of K-function analysis is its ability to explore the spatial point pattern over the entire scale of the study region while including all points and distances between all points, and not just nearest neighbours (Wong and Lee 2005).”