Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling

B Naimi, AK Skidmore, TA Groen… - Journal of …, 2011 - Wiley Online Library
Aim To investigate the impact of positional uncertainty in species occurrences on the
predictions of seven commonly used species distribution models (SDMs), and explore its …

Spatial autocorrelation and the scaling of species–environment relationships

HJ De Knegt, F van Langevelde, MB Coughenour… - Ecology, 2010 - Wiley Online Library
Issues of residual spatial autocorrelation (RSA) and spatial scale are critical to the study of
species–environment relationships, because RSA invalidates many statistical procedures …

Dotmark–a benchmark for discrete optimal transport

J Schrieber, D Schuhmacher, C Gottschlich - IEEE Access, 2016 - ieeexplore.ieee.org
The Wasserstein metric or earth mover's distance is a useful tool in statistics, computer
science and engineering with many applications to biological or medical imaging, among …

Nonlinear consolidation in randomly heterogeneous highly compressible aquitards

B Zapata-Norberto, E Morales-Casique… - Hydrogeology …, 2018 - search.proquest.com
Severe land subsidence due to groundwater extraction may occur in multiaquifer systems
where highly compressible aquitards are present. The highly compressible nature of the …

Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments

ZJ Wang, M Thomson - Cell Systems, 2022 - cell.com
Cells in natural environments, such as tissue or soil, sense and respond to extracellular
ligands with intricately structured and non-monotonic spatial distributions, sculpted by …

Spatial autocorrelation can generate stronger correlations between range size and climatic niches than the biological signal—A demonstration using bird and …

V Boucher-Lalonde, DJ Currie - PloS one, 2016 - journals.plos.org
Species' geographic ranges could primarily be physiological tolerances drawn in space.
Alternatively, geographic ranges could be only broadly constrained by physiological climatic …

Breeding success of a marine central place forager in the context of climate change: A modeling approach

L Massardier-Galatà, J Morinay, F Bailleul, E Wajnberg… - Plos One, 2017 - journals.plos.org
In response to climate warming, a southward shift in productive frontal systems serving as
the main foraging sites for many top predator species is likely to occur in Subantarctic areas …

Robustness of movement models: can models bridge the gap between temporal scales of data sets and behavioural processes?

UE Schlägel, MA Lewis - Journal of mathematical biology, 2016 - Springer
Discrete-time random walks and their extensions are common tools for analyzing animal
movement data. In these analyses, resolution of temporal discretization is a critical feature …

Capturing heterogeneity: The role of a study area's extent for estimating mean throughfall

A Zimmermann, S Voss, JC Metzger, A Hildebrandt… - Journal of …, 2016 - Elsevier
The selection of an appropriate spatial extent of a sampling plot is one among several
important decisions involved in planning a throughfall sampling scheme. In fact, the choice …

Spatial prediction of weed intensities from exact count data and image-based estimates

G Guillot, N Lorén, M Rudemo - Journal of the Royal Statistical …, 2009 - academic.oup.com
Collecting weed exact counts in an agricultural field is easy but extremely time consuming.
Image analysis algorithms for object extraction applied to pictures of agricultural fields may …