Multiscale Analysis of Landscape Heterogeneity: Scale Variance and Pattern Metrics

By Jianguo Wu, D. Jelinski, Matt Luck, P. Tueller. Ann. GIS, 2000

335 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/642459ead58ac0d337b69bdb310937fe535b9803

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In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

A spatially explicit hierarchical approach to modeling complex ecological systems: theory and applications (2002, background): “On the other hand, landforms interact with regional climatic regimes (Rowe, 1988), and the leaf-level photosynthetic processes affect and are affected by the spatial pattern of micrometeorological conditions surrounding individual leaves (Baldocchi, 1993; Wu et al., 2000a).”
Effects of changing scale on landscape pattern analysis: scaling relations (2004, methodology): “…simply a law of scale dependence of correlation, which was developed based on both empirical and analytical results that the correlation between variables increases while variance decreases as the resolution grain size of spatial data is increased Amrhein 1995; Arbia et al. 1996; Wu et al. 2000 .”
Landscape metric performance in analyzing two decades of deforestation in the Amazon Basin of Rondonia, Brazil (2006, background): “The behaviour of PD, ED, and MPS with respect to spatial resolution in this study is similar to that found in other studies (Shen et al., 2004; Wu, 2004; Wu et al., 2000, 2002).”
Identifying scales of pattern in ecological data: a comparison of lacunarity, spectral and wavelet analyses (2005, background): “, landscape management or natural disturbance) and spatial patterns (e.g., Turner, 1989; Li and Reynolds, 1995; McGarigal and Marks, 1995; Wu et al., 2000; Lundquist and Sommerfeld, 2002).”
Scale dependent inference in landscape genetics (2010, positive): “Other papers have investigated how changing spatial grain (Turner et al. 1989; Wickham and Ritters 1995; Wu et al. 2000; Lausch and Herzog 2002; Wu et al. 2002; Zhao et al. 2003; Wu 2004) and landscape extent (Saura and Martinez-Millan 2001; Shen et al.”
Evaluating empirical scaling relations of pattern metrics with simulated landscapes (2004, background): “Scale usually refers to the spatial or temporal dimension of a phenomenon, including grain size (or resolution, support), extent (or map size, study area), lag (or spacing), or cartographic ratio (Lam and Quattrochi 1992, Jenerette and Wu 2000, Dungan et al. 2002).”
Evaluating the effectiveness of landscape metrics in quantifying spatial patterns (2010, background): “In recent decades, more focus has been paid to scale relations (Wu et al., 2000, 2002; Saura and Martinez-Millan, 2001; Lausch and Herzog, 2002; Shen et al., 2004; Wu, 2004; Uuemaa et al., 2005; Saura and Castro, 2007), the accuracy of source data (Shao et al., 2001; Shao and Wu, 2008), and the…”
Scale Issues in Remote Sensing: A Review on Analysis, Processing and Modeling (2009, methodology): “Most spatial data can be constructed to a nested hierarchy by a simple aggregation approach, and then the geographic variance method can be applied [30].”
Empirical patterns of the effects of changing scale on landscape metrics (2002, background): “It has been widely recognized that spatial pattern is scale-dependent; that is, it changes with the scale of observation or analysis (e.g., Gardner et al. (1987) and Meentemeyer and Box (1987), Woodcock and Strahler (1987), Turner et al. (1989), O’Neill et al. (1991, 1996), He and Legendre (1994), M”
The spatiotemporal form of urban growth: measurement, analysis and modeling (2003, methodology): “When applied to multi-scale or multi-temporal data sets, spatial metrics can be used to analyze and describe change in the degree of spatial heterogeneity (Dunn, Sharpe, Guntensbergen, Stearns, & Yang, 1991; Wu, Jelinski, Luck, & Tueller, 2000 ).”