On tests of spatial pattern based on simulation envelopes
By Adrian Baddeley, Peter J. Diggle, Andrew Hardegen, T. Lawrence, Robin K. Milne, Gopalan M. Nair. 2014
222 citations recorded by the source corpus.
Subfields: Applied Mathematics, Geometry and Topology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/f5aee6838268ce6948934509eb850d9132c79af3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- P. Grabarnik
- Mari Myllymäki
- Tomás Mrkvicka
- M. Carrer
- Ute Hahn
- Emanuele Lingua
- M. Pividori
- Nicholas Gotelli
In Geometry and Topology
In Global and Planetary Change
- Nicholas Gotelli
- P. Grabarnik
- Jonathan M. Chase
- Brian J. McGill
- Mari Myllymäki
- M. Carrer
- Jürgen Dengler
- T. Noda
Citations in the corpus
- Global envelope tests for spatial processes (2013, methodology): “As discussed in detail by Loosmore and Ford (2006) and Grabarnik et al. (2011), as well as Baddeley et al. (2014), the use of predetermined values for k and s leads to an unpredictable level of error.”
- MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change (2018, methodology): “The DCLF test (see Supplement S4) provides an overall significance test with a proper Type I error rate (Loosmore and Ford, 2006), but this test in turn suffers from Type II error (Baddeley et al. 2014).”
- Tree spatial patterns and stand attributes in temperate forests: The importance of plot size, sampling design, and null model (2018, background): “The simplest one, and still widely used in ecological studies (Baddeley et al., 2014; Velázquez et al., 2016), is the complete spatial randomness (CSR).”