Eight (and a half) deadly sins of spatial analysis

By B. Hawkins. 2012

150 citations recorded by the source corpus.

Subfields: Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a1f24d0b4c73a8496b23d1979138ca4dfb39575f

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In Ecological Modeling

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

What ' s on the horizon for macroecology? (2012, background): “Global Ecology and Biogeography Ramirez, L; Diniz, JAF; Hawkins, BA (2008): Partitioning phylogenetic and adaptive components of the geographical body-size pattern of New World birds.”
Estimating patterns of reptile biodiversity in remote regions (2013, background): “The results of ecogeographical studies may be affected by the scale at which analyses are performed (Hawkins, 2012).”
The spatial structure of Antarctic biodiversity (2014, background): “The significance of autocorrelation for understanding variation in biodiversity remains the subject of intense interest (e.g., Beale et al. 2010, Hawkins 2012).”
Vertical stratification influences global patterns of biodiversity (2018, background): “All linear regression techniques assume that the relationship among predictors and response variables are constant over the entire dataset, a condition known as ‘stationarity’ (Hawkins 2012).”
Machine learning for digital soil mapping: Applications, challenges and suggested solutions (2020, background): “Including pseudo-covariates with the set of pedologically relevant covariates, however, can be harmful because it precludes analysis of the residuals and the generation of new hypotheses from these residuals (Hawkins, 2012).”
Effects of spatial autocorrelation and imperfect detection on species distribution models (2018, background): “Hence, there is again no consensus about whether modelling residual spatial autocorrelation in SDMs is worthwhile.”
Patterns of beta diversity in Europe: the role of climate, land cover and distance across scales (2012, methodology): “Note that we use the term effect to indicate a statistical relationship rather than a proven mechanistic causation (Hawkins, 2012).”
Less than eight (and a half) misconceptions of spatial analysis (2012, background): “Kühn & Dormann (2012) raise several issues in their response to my guest editorial on spatial analysis (Hawkins, 2012), and I am naturally tempted to respond in detail, defending the points of view expressed in the original essay.”
Increasing aridity reduces soil microbial diversity and abundance in global drylands (2015, background): “In addition—and to account for possible large-scale spatial nonindependence of the sites surveyed (25)—we included the dominant eigenvector of the Euclidean distance matrix of sites as an additional predictor into these models (spatial models; refs.”